diff --git a/catalog/noaa_forecasts/collection.json b/catalog/noaa_forecasts/collection.json
index dc10c8e1cd..91ea228d16 100644
--- a/catalog/noaa_forecasts/collection.json
+++ b/catalog/noaa_forecasts/collection.json
@@ -166,12 +166,12 @@
       "description": "Use `arrow` for remote access to the database. This R code will return results for the VERA Forecasting Challenge.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@drivers/noaa/gefs-v12-reprocess/?endpoint_override=s3.flare-forecast.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
     "thumbnail": {
-      "href": "https://raw.githubusercontent.com/eco4cast/neon4cast-ci/main/catalog/thumbnail_plots/51629805865_0ef01ffbbc_c.jpg",
+      "href": "https://raw.githubusercontent.com/eco4cast/neon4cast-ci/main/catalog/thumbnail_plots/neon_wetland.jpg",
       "type": "image/JPEG",
       "roles": [
         "thumbnail"
       ],
-      "title": "NEON Buoy Image"
+      "title": "NEON Image"
     }
   }
 }
diff --git a/catalog/scores/Aquatics/Daily_Chlorophyll_a/collection.json b/catalog/scores/Aquatics/Daily_Chlorophyll_a/collection.json
index 8b1a45ac58..11f5f85fef 100644
--- a/catalog/scores/Aquatics/Daily_Chlorophyll_a/collection.json
+++ b/catalog/scores/Aquatics/Daily_Chlorophyll_a/collection.json
@@ -108,22 +108,22 @@
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/procEppleyNorbergMonod.json"
+      "href": "../../models/model_items/procCTMIMonod.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_lasso.json"
+      "href": "../../models/model_items/tg_randfor.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_randfor.json"
+      "href": "../../models/model_items/procEppleyNorbergMonod.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/procCTMIMonod.json"
+      "href": "../../models/model_items/tg_lasso.json"
     },
     {
       "rel": "item",
diff --git a/catalog/scores/Aquatics/Daily_Dissolved_oxygen/collection.json b/catalog/scores/Aquatics/Daily_Dissolved_oxygen/collection.json
index 67c31aaf04..a5d5779b16 100644
--- a/catalog/scores/Aquatics/Daily_Dissolved_oxygen/collection.json
+++ b/catalog/scores/Aquatics/Daily_Dissolved_oxygen/collection.json
@@ -38,42 +38,37 @@
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_lasso_all_sites.json"
-    },
-    {
-      "rel": "item",
-      "type": "application/json",
-      "href": "../../models/model_items/tg_precip_lm_all_sites.json"
+      "href": "../../models/model_items/cb_f1.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_randfor_all_sites.json"
+      "href": "../../models/model_items/climatology.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_tbats.json"
+      "href": "../../models/model_items/persistenceRW.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/cb_f1.json"
+      "href": "../../models/model_items/tg_lasso_all_sites.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/climatology.json"
+      "href": "../../models/model_items/tg_randfor.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/persistenceRW.json"
+      "href": "../../models/model_items/tg_randfor_all_sites.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_randfor.json"
+      "href": "../../models/model_items/tg_tbats.json"
     },
     {
       "rel": "item",
@@ -88,7 +83,7 @@
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_humidity_lm.json"
+      "href": "../../models/model_items/tg_precip_lm_all_sites.json"
     },
     {
       "rel": "item",
@@ -100,6 +95,11 @@
       "type": "application/json",
       "href": "../../models/model_items/null.json"
     },
+    {
+      "rel": "item",
+      "type": "application/json",
+      "href": "../../models/model_items/tg_humidity_lm.json"
+    },
     {
       "rel": "item",
       "type": "application/json",
diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/collection.json b/catalog/scores/Aquatics/Daily_Water_temperature/collection.json
index 29af9b3b6e..abb8b036fd 100644
--- a/catalog/scores/Aquatics/Daily_Water_temperature/collection.json
+++ b/catalog/scores/Aquatics/Daily_Water_temperature/collection.json
@@ -68,102 +68,102 @@
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/cb_f1.json"
+      "href": "../../models/model_items/air2waterSat_2.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/climatology.json"
+      "href": "../../models/model_items/fARIMA.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/flare_ler.json"
+      "href": "../../models/model_items/fTSLM_lag.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_bag_mlp.json"
+      "href": "../../models/model_items/flareGOTM.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_humidity_lm.json"
+      "href": "../../models/model_items/flare_ler.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_precip_lm.json"
+      "href": "../../models/model_items/tg_lasso_all_sites.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_randfor_all_sites.json"
+      "href": "../../models/model_items/tg_randfor.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_temp_lm.json"
+      "href": "../../models/model_items/tg_bag_mlp.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_temp_lm_all_sites.json"
+      "href": "../../models/model_items/tg_humidity_lm.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_randfor.json"
+      "href": "../../models/model_items/tg_lasso.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/air2waterSat_2.json"
+      "href": "../../models/model_items/tg_precip_lm.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/cb_prophet.json"
+      "href": "../../models/model_items/tg_precip_lm_all_sites.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/fARIMA.json"
+      "href": "../../models/model_items/tg_temp_lm.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/flareSimstrat_noDA.json"
+      "href": "../../models/model_items/cb_prophet.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/fTSLM_lag.json"
+      "href": "../../models/model_items/flareSimstrat_noDA.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/flareGOTM.json"
+      "href": "../../models/model_items/flare_ler_baselines.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_lasso_all_sites.json"
+      "href": "../../models/model_items/cb_f1.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/flare_ler_baselines.json"
+      "href": "../../models/model_items/climatology.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_lasso.json"
+      "href": "../../models/model_items/tg_randfor_all_sites.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_precip_lm_all_sites.json"
+      "href": "../../models/model_items/tg_temp_lm_all_sites.json"
     },
     {
       "rel": "item",
@@ -178,12 +178,12 @@
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/GLEON_physics.json"
+      "href": "../../models/model_items/tg_humidity_lm_all_sites.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_humidity_lm_all_sites.json"
+      "href": "../../models/model_items/GLEON_physics.json"
     },
     {
       "rel": "item",
diff --git a/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/collection.json b/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/collection.json
index 29b73d773f..8f867a93dd 100644
--- a/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/collection.json
+++ b/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/collection.json
@@ -10,6 +10,11 @@
   ],
   "type": "Collection",
   "links": [
+    {
+      "rel": "item",
+      "type": "application/json",
+      "href": "../../models/model_items/baseline_ensemble.json"
+    },
     {
       "rel": "item",
       "type": "application/json",
@@ -53,37 +58,32 @@
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/baseline_ensemble.json"
-    },
-    {
-      "rel": "item",
-      "type": "application/json",
-      "href": "../../models/model_items/tg_bag_mlp.json"
+      "href": "../../models/model_items/tg_humidity_lm.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_randfor.json"
+      "href": "../../models/model_items/tg_lasso.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_humidity_lm.json"
+      "href": "../../models/model_items/tg_precip_lm.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_lasso.json"
+      "href": "../../models/model_items/tg_temp_lm.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_precip_lm.json"
+      "href": "../../models/model_items/tg_bag_mlp.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/tg_temp_lm.json"
+      "href": "../../models/model_items/tg_randfor.json"
     },
     {
       "rel": "item",
diff --git a/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/collection.json b/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/collection.json
index d25280a4ac..71ce03cdc2 100644
--- a/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/collection.json
+++ b/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/collection.json
@@ -50,11 +50,6 @@
       "type": "application/json",
       "href": "../../models/model_items/tg_precip_lm_all_sites.json"
     },
-    {
-      "rel": "item",
-      "type": "application/json",
-      "href": "../../models/model_items/tg_precip_lm.json"
-    },
     {
       "rel": "item",
       "type": "application/json",
@@ -75,6 +70,11 @@
       "type": "application/json",
       "href": "../../models/model_items/randfor.json"
     },
+    {
+      "rel": "item",
+      "type": "application/json",
+      "href": "../../models/model_items/tg_precip_lm.json"
+    },
     {
       "rel": "item",
       "type": "application/json",
diff --git a/catalog/scores/models/collection.json b/catalog/scores/models/collection.json
index 67900131a6..fd1ac0840a 100644
--- a/catalog/scores/models/collection.json
+++ b/catalog/scores/models/collection.json
@@ -13,32 +13,32 @@
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/tg_ets.json"
+      "href": "model_items/lasso.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/tg_humidity_lm.json"
+      "href": "model_items/tg_arima.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/tg_humidity_lm_all_sites.json"
+      "href": "model_items/tg_auto_adam.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/tg_precip_lm_all_sites.json"
+      "href": "model_items/tg_ets.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/tg_tbats.json"
+      "href": "model_items/tg_randfor.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/air2waterSat_2.json"
+      "href": "model_items/tg_tbats.json"
     },
     {
       "rel": "item",
@@ -48,7 +48,7 @@
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/tg_arima.json"
+      "href": "model_items/persistenceRW.json"
     },
     {
       "rel": "item",
@@ -58,77 +58,77 @@
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/tg_lasso_all_sites.json"
+      "href": "model_items/tg_humidity_lm.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/tg_randfor_all_sites.json"
+      "href": "model_items/tg_humidity_lm_all_sites.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/persistenceRW.json"
+      "href": "model_items/tg_precip_lm_all_sites.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/tg_temp_lm_all_sites.json"
+      "href": "model_items/air2waterSat_2.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/lasso.json"
+      "href": "model_items/USGSHABs1.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/tg_auto_adam.json"
+      "href": "model_items/climatology.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/tg_randfor.json"
+      "href": "model_items/tg_lasso.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/cb_f1.json"
+      "href": "model_items/tg_precip_lm.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/climatology.json"
+      "href": "model_items/cb_f1.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/USGSHABs1.json"
+      "href": "model_items/tg_lasso_all_sites.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/tg_lasso.json"
+      "href": "model_items/tg_randfor_all_sites.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/tg_precip_lm.json"
+      "href": "model_items/tg_temp_lm.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/tg_temp_lm.json"
+      "href": "model_items/tg_temp_lm_all_sites.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/randfor.json"
+      "href": "model_items/baseline_ensemble.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/baseline_ensemble.json"
+      "href": "model_items/randfor.json"
     },
     {
       "rel": "item",
@@ -153,72 +153,72 @@
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/flareGLM.json"
+      "href": "model_items/GLEON_lm_lag_1day.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/flareSimstrat.json"
+      "href": "model_items/null.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/mean.json"
+      "href": "model_items/flareGLM.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/procEppleyNorbergSteele.json"
+      "href": "model_items/flareSimstrat.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/GLEON_lm_lag_1day.json"
+      "href": "model_items/mean.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/null.json"
+      "href": "model_items/procEppleyNorbergSteele.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/flare_ler.json"
+      "href": "model_items/fARIMA.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/fARIMA.json"
+      "href": "model_items/fTSLM_lag.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/flareSimstrat_noDA.json"
+      "href": "model_items/flareGOTM.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/fTSLM_lag.json"
+      "href": "model_items/flare_ler.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/flareGOTM.json"
+      "href": "model_items/procBlanchardMonod.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/prophet_clim_ensemble.json"
+      "href": "model_items/flareSimstrat_noDA.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/flare_ler_baselines.json"
+      "href": "model_items/prophet_clim_ensemble.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/procBlanchardMonod.json"
+      "href": "model_items/flare_ler_baselines.json"
     },
     {
       "rel": "item",
@@ -243,12 +243,12 @@
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/procEppleyNorbergMonod.json"
+      "href": "model_items/procCTMIMonod.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/procCTMIMonod.json"
+      "href": "model_items/procEppleyNorbergMonod.json"
     },
     {
       "rel": "item",
diff --git a/catalog/scores/models/model_items/baseline_ensemble.json b/catalog/scores/models/model_items/baseline_ensemble.json
index ef9e5b2c50..90a4066098 100644
--- a/catalog/scores/models/model_items/baseline_ensemble.json
+++ b/catalog/scores/models/model_items/baseline_ensemble.json
@@ -22,6 +22,16 @@
       [-119.006, 37.0058],
       [-89.5857, 45.4937],
       [-95.1921, 39.0404],
+      [-96.443, 38.9459],
+      [-122.1655, 44.2596],
+      [-78.1473, 38.8943],
+      [-97.7823, 33.3785],
+      [-111.7979, 40.7839],
+      [-102.4471, 39.7582],
+      [-82.0084, 29.676],
+      [-119.2575, 37.0597],
+      [-110.5871, 44.9501],
+      [-96.6242, 34.4442],
       [-99.1066, 47.1617],
       [-87.8039, 32.5417],
       [-81.4362, 28.1251],
@@ -41,33 +51,17 @@
       [-119.7323, 37.1088],
       [-119.2622, 37.0334],
       [-110.8355, 31.9107],
-      [-96.443, 38.9459],
-      [-122.1655, 44.2596],
-      [-78.1473, 38.8943],
-      [-97.7823, 33.3785],
-      [-111.7979, 40.7839],
-      [-102.4471, 39.7582],
-      [-82.0084, 29.676],
-      [-119.2575, 37.0597],
-      [-110.5871, 44.9501],
-      [-96.6242, 34.4442],
-      [-87.7982, 32.5415],
-      [-105.5442, 40.035],
-      [-66.9868, 18.1135],
-      [-84.4374, 31.1854],
-      [-66.7987, 18.1741],
       [-72.3295, 42.4719],
       [-96.6038, 39.1051],
       [-83.5038, 35.6904],
       [-77.9832, 39.0956],
       [-121.9338, 45.7908],
       [-87.4077, 32.9604],
-      [-82.0177, 29.6878],
-      [-111.5081, 33.751],
-      [-119.0274, 36.9559],
-      [-88.1589, 31.8534],
-      [-84.2793, 35.9574],
-      [-105.9154, 39.8914],
+      [-87.7982, 32.5415],
+      [-105.5442, 40.035],
+      [-66.9868, 18.1135],
+      [-84.4374, 31.1854],
+      [-66.7987, 18.1741],
       [-122.3303, 45.7624],
       [-71.2874, 44.0639],
       [-78.0418, 39.0337],
@@ -79,6 +73,12 @@
       [-96.5631, 39.1008],
       [-67.0769, 18.0213],
       [-72.1727, 42.5369],
+      [-82.0177, 29.6878],
+      [-111.5081, 33.751],
+      [-119.0274, 36.9559],
+      [-88.1589, 31.8534],
+      [-84.2793, 35.9574],
+      [-105.9154, 39.8914],
       [-99.0588, 35.4106],
       [-112.4524, 40.1776],
       [-84.2826, 35.9641],
@@ -88,7 +88,7 @@
     ]
   },
   "properties": {
-    "description": "\nmodel info: NA\n\nSites: STEI, STER, TALL, TEAK, TREE, UKFS, DCFS, DELA, DSNY, GRSM, GUAN, UNDE, WOOD, WREF, YELL, LENO, MLBS, MOAB, NIWO, NOGP, SCBI, SERC, SJER, SOAP, SRER, MCDI, MCRA, POSE, PRIN, REDB, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, COMO, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, SUGG, SYCA, TECR, TOMB, WALK, WLOU, ABBY, BART, BLAN, CLBJ, CPER, JERC, JORN, KONA, KONZ, LAJA, HARV, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP\n\nVariables: Daily Red_chromatic_coordinate, Daily Water_temperature",
+    "description": "\nmodel info: NA\n\nSites: STEI, STER, TALL, TEAK, TREE, UKFS, MCDI, MCRA, POSE, PRIN, REDB, ARIK, BARC, BIGC, BLDE, BLUE, DCFS, DELA, DSNY, GRSM, GUAN, UNDE, WOOD, WREF, YELL, LENO, MLBS, MOAB, NIWO, NOGP, SCBI, SERC, SJER, SOAP, SRER, HOPB, KING, LECO, LEWI, MART, MAYF, BLWA, COMO, CUPE, FLNT, GUIL, ABBY, BART, BLAN, CLBJ, CPER, JERC, JORN, KONA, KONZ, LAJA, HARV, SUGG, SYCA, TECR, TOMB, WALK, WLOU, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP\n\nVariables: Daily Red_chromatic_coordinate, Daily Water_temperature",
     "start_datetime": "2023-11-14",
     "end_datetime": "2024-01-04",
     "providers": [
diff --git a/catalog/scores/models/model_items/cb_prophet.json b/catalog/scores/models/model_items/cb_prophet.json
index 751766e0a3..225bd11bd0 100644
--- a/catalog/scores/models/model_items/cb_prophet.json
+++ b/catalog/scores/models/model_items/cb_prophet.json
@@ -16,33 +16,6 @@
   "geometry": {
     "type": "MultiPoint",
     "coordinates": [
-      [-87.7982, 32.5415],
-      [-147.504, 65.1532],
-      [-105.5442, 40.035],
-      [-89.4737, 46.2097],
-      [-66.9868, 18.1135],
-      [-84.4374, 31.1854],
-      [-66.7987, 18.1741],
-      [-72.3295, 42.4719],
-      [-96.6038, 39.1051],
-      [-83.5038, 35.6904],
-      [-77.9832, 39.0956],
-      [-89.7048, 45.9983],
-      [-121.9338, 45.7908],
-      [-87.4077, 32.9604],
-      [-96.443, 38.9459],
-      [-122.1655, 44.2596],
-      [-78.1473, 38.8943],
-      [-97.7823, 33.3785],
-      [-99.1139, 47.1591],
-      [-99.2531, 47.1298],
-      [-111.7979, 40.7839],
-      [-82.0177, 29.6878],
-      [-111.5081, 33.751],
-      [-119.0274, 36.9559],
-      [-88.1589, 31.8534],
-      [-84.2793, 35.9574],
-      [-105.9154, 39.8914],
       [-71.2874, 44.0639],
       [-104.7456, 40.8155],
       [-72.1727, 42.5369],
@@ -86,6 +59,33 @@
       [-78.1395, 38.8929],
       [-109.3883, 38.2483],
       [-155.3173, 19.5531],
+      [-87.7982, 32.5415],
+      [-147.504, 65.1532],
+      [-105.5442, 40.035],
+      [-89.4737, 46.2097],
+      [-66.9868, 18.1135],
+      [-84.4374, 31.1854],
+      [-66.7987, 18.1741],
+      [-72.3295, 42.4719],
+      [-96.6038, 39.1051],
+      [-83.5038, 35.6904],
+      [-77.9832, 39.0956],
+      [-89.7048, 45.9983],
+      [-121.9338, 45.7908],
+      [-87.4077, 32.9604],
+      [-96.443, 38.9459],
+      [-122.1655, 44.2596],
+      [-78.1473, 38.8943],
+      [-97.7823, 33.3785],
+      [-99.1139, 47.1591],
+      [-99.2531, 47.1298],
+      [-111.7979, 40.7839],
+      [-82.0177, 29.6878],
+      [-111.5081, 33.751],
+      [-119.0274, 36.9559],
+      [-88.1589, 31.8534],
+      [-84.2793, 35.9574],
+      [-105.9154, 39.8914],
       [-110.5391, 44.9535],
       [-147.5026, 65.154],
       [-66.8687, 17.9696],
@@ -98,7 +98,7 @@
     ]
   },
   "properties": {
-    "description": "\nmodel info: NA\n\nSites: BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, BART, CPER, HARV, UNDE, STER, KONA, TREE, ABBY, LENO, UKFS, DEJU, KONZ, RMNP, BARR, JORN, SOAP, STEI, TALL, DCFS, TOOL, WOOD, OAES, HEAL, SERC, BLAN, GRSM, ORNL, SRER, NOGP, JERC, DELA, MLBS, NIWO, WREF, LAJA, TEAK, CLBJ, SJER, ONAQ, DSNY, SCBI, MOAB, PUUM, YELL, BONA, GUAN, OSBS, ARIK, BARC, BIGC, BLDE, BLUE\n\nVariables: Daily Dissolved_oxygen, Daily Net_ecosystem_exchange, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Red_chromatic_coordinate, Daily Water_temperature, Daily Chlorophyll_a",
+    "description": "\nmodel info: NA\n\nSites: BART, CPER, HARV, UNDE, STER, KONA, TREE, ABBY, LENO, UKFS, DEJU, KONZ, RMNP, BARR, JORN, SOAP, STEI, TALL, DCFS, TOOL, WOOD, OAES, HEAL, SERC, BLAN, GRSM, ORNL, SRER, NOGP, JERC, DELA, MLBS, NIWO, WREF, LAJA, TEAK, CLBJ, SJER, ONAQ, DSNY, SCBI, MOAB, PUUM, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, YELL, BONA, GUAN, OSBS, ARIK, BARC, BIGC, BLDE, BLUE\n\nVariables: Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Red_chromatic_coordinate, Daily Water_temperature, Daily Chlorophyll_a",
     "start_datetime": "2023-11-14",
     "end_datetime": "2024-01-08",
     "providers": [
@@ -123,8 +123,8 @@
     "keywords": [
       "Forecasting",
       "neon4cast",
-      "Daily Dissolved_oxygen",
       "Daily Net_ecosystem_exchange",
+      "Daily Dissolved_oxygen",
       "Daily Green_chromatic_coordinate",
       "Daily latent_heat_flux",
       "Daily Red_chromatic_coordinate",
@@ -281,17 +281,17 @@
       "description": "The link to the model code provided by the model submission team"
     },
     "3": {
-      "type": "application/x-parquet",
-      "title": "Database Access for Daily Dissolved_oxygen",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
-    },
-    "4": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Net_ecosystem_exchange",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
+    "4": {
+      "type": "application/x-parquet",
+      "title": "Database Access for Daily Dissolved_oxygen",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=cb_prophet?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+    },
     "5": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Green_chromatic_coordinate",
diff --git a/catalog/scores/models/model_items/climatology.json b/catalog/scores/models/model_items/climatology.json
index dd75954ad3..9735c025e7 100644
--- a/catalog/scores/models/model_items/climatology.json
+++ b/catalog/scores/models/model_items/climatology.json
@@ -16,33 +16,6 @@
   "geometry": {
     "type": "MultiPoint",
     "coordinates": [
-      [-102.4471, 39.7582],
-      [-82.0084, 29.676],
-      [-119.2575, 37.0597],
-      [-110.5871, 44.9501],
-      [-96.6242, 34.4442],
-      [-87.7982, 32.5415],
-      [-105.5442, 40.035],
-      [-66.9868, 18.1135],
-      [-84.4374, 31.1854],
-      [-66.7987, 18.1741],
-      [-72.3295, 42.4719],
-      [-96.6038, 39.1051],
-      [-83.5038, 35.6904],
-      [-77.9832, 39.0956],
-      [-121.9338, 45.7908],
-      [-87.4077, 32.9604],
-      [-96.443, 38.9459],
-      [-122.1655, 44.2596],
-      [-78.1473, 38.8943],
-      [-97.7823, 33.3785],
-      [-111.7979, 40.7839],
-      [-82.0177, 29.6878],
-      [-111.5081, 33.751],
-      [-119.0274, 36.9559],
-      [-88.1589, 31.8534],
-      [-84.2793, 35.9574],
-      [-105.9154, 39.8914],
       [-122.3303, 45.7624],
       [-71.2874, 44.0639],
       [-78.0418, 39.0337],
@@ -85,6 +58,33 @@
       [-99.2413, 47.1282],
       [-121.9519, 45.8205],
       [-110.5391, 44.9535],
+      [-102.4471, 39.7582],
+      [-82.0084, 29.676],
+      [-119.2575, 37.0597],
+      [-110.5871, 44.9501],
+      [-96.6242, 34.4442],
+      [-87.7982, 32.5415],
+      [-105.5442, 40.035],
+      [-66.9868, 18.1135],
+      [-84.4374, 31.1854],
+      [-66.7987, 18.1741],
+      [-72.3295, 42.4719],
+      [-96.6038, 39.1051],
+      [-83.5038, 35.6904],
+      [-77.9832, 39.0956],
+      [-121.9338, 45.7908],
+      [-87.4077, 32.9604],
+      [-96.443, 38.9459],
+      [-122.1655, 44.2596],
+      [-78.1473, 38.8943],
+      [-97.7823, 33.3785],
+      [-111.7979, 40.7839],
+      [-82.0177, 29.6878],
+      [-111.5081, 33.751],
+      [-119.0274, 36.9559],
+      [-88.1589, 31.8534],
+      [-84.2793, 35.9574],
+      [-105.9154, 39.8914],
       [-145.7514, 63.8811],
       [-149.2133, 63.8758],
       [-149.3705, 68.6611],
@@ -94,7 +94,7 @@
     ]
   },
   "properties": {
-    "description": ["\nmodel info: Historical DOY mean and sd.  Assumes normal distribution\n\n\nSites: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, COMO, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, ABBY, BART, BLAN, CLBJ, CPER, DCFS, DELA, DSNY, GRSM, GUAN, HARV, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TREE, UKFS, UNDE, WOOD, WREF, YELL, DEJU, HEAL, TOOL, BARR, BONA, CARI\n\nVariables: Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, 30min latent_heat_flux, Daily latent_heat_flux, 30min Net_ecosystem_exchange, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Water_temperature, Daily Red_chromatic_coordinate", "\nmodel info: NA\n\nSites: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, COMO, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, ABBY, BART, BLAN, CLBJ, CPER, DCFS, DELA, DSNY, GRSM, GUAN, HARV, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TREE, UKFS, UNDE, WOOD, WREF, YELL, DEJU, HEAL, TOOL, BARR, BONA, CARI\n\nVariables: Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, 30min latent_heat_flux, Daily latent_heat_flux, 30min Net_ecosystem_exchange, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Water_temperature, Daily Red_chromatic_coordinate"],
+    "description": ["\nmodel info: Historical DOY mean and sd.  Assumes normal distribution\n\n\nSites: ABBY, BART, BLAN, CLBJ, CPER, DCFS, DELA, DSNY, GRSM, GUAN, HARV, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TREE, UKFS, UNDE, WOOD, WREF, YELL, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, COMO, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, DEJU, HEAL, TOOL, BARR, BONA, CARI\n\nVariables: Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, 30min latent_heat_flux, Daily latent_heat_flux, 30min Net_ecosystem_exchange, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Red_chromatic_coordinate, Daily Water_temperature", "\nmodel info: NA\n\nSites: ABBY, BART, BLAN, CLBJ, CPER, DCFS, DELA, DSNY, GRSM, GUAN, HARV, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TREE, UKFS, UNDE, WOOD, WREF, YELL, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, COMO, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, DEJU, HEAL, TOOL, BARR, BONA, CARI\n\nVariables: Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, 30min latent_heat_flux, Daily latent_heat_flux, 30min Net_ecosystem_exchange, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Red_chromatic_coordinate, Daily Water_temperature"],
     "start_datetime": "2023-11-14",
     "end_datetime": "2024-01-11",
     "providers": [
@@ -119,15 +119,15 @@
     "keywords": [
       "Forecasting",
       "neon4cast",
-      "Daily Dissolved_oxygen",
       "Daily Green_chromatic_coordinate",
+      "Daily Dissolved_oxygen",
       "30min latent_heat_flux",
       "Daily latent_heat_flux",
       "30min Net_ecosystem_exchange",
       "Daily Net_ecosystem_exchange",
       "Daily Chlorophyll_a",
-      "Daily Water_temperature",
-      "Daily Red_chromatic_coordinate"
+      "Daily Red_chromatic_coordinate",
+      "Daily Water_temperature"
     ],
     "table:columns": [
       {
@@ -279,17 +279,17 @@
       "description": "The link to the model code provided by the model submission team"
     },
     "3": {
-      "type": "application/x-parquet",
-      "title": "Database Access for Daily Dissolved_oxygen",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=climatology?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=climatology?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
-    },
-    "4": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Green_chromatic_coordinate",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=climatology?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=climatology?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
+    "4": {
+      "type": "application/x-parquet",
+      "title": "Database Access for Daily Dissolved_oxygen",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=climatology?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=climatology?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+    },
     "5": {
       "type": "application/x-parquet",
       "title": "Database Access for 30min latent_heat_flux",
@@ -321,16 +321,16 @@
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=climatology?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
     "10": {
-      "type": "application/x-parquet",
-      "title": "Database Access for Daily Water_temperature",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=temperature/model_id=climatology?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=temperature/model_id=climatology?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
-    },
-    "11": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Red_chromatic_coordinate",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=climatology?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=climatology?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+    },
+    "11": {
+      "type": "application/x-parquet",
+      "title": "Database Access for Daily Water_temperature",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=temperature/model_id=climatology?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=temperature/model_id=climatology?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     }
   }
 }
diff --git a/catalog/scores/models/model_items/fARIMA.json b/catalog/scores/models/model_items/fARIMA.json
index d37d4bc847..4251cf9b74 100644
--- a/catalog/scores/models/model_items/fARIMA.json
+++ b/catalog/scores/models/model_items/fARIMA.json
@@ -16,15 +16,6 @@
   "geometry": {
     "type": "MultiPoint",
     "coordinates": [
-      [-88.1589, 31.8534],
-      [-149.6106, 68.6307],
-      [-84.2793, 35.9574],
-      [-105.9154, 39.8914],
-      [-102.4471, 39.7582],
-      [-82.0084, 29.676],
-      [-119.2575, 37.0597],
-      [-110.5871, 44.9501],
-      [-96.6242, 34.4442],
       [-87.7982, 32.5415],
       [-147.504, 65.1532],
       [-105.5442, 40.035],
@@ -49,11 +40,20 @@
       [-111.7979, 40.7839],
       [-82.0177, 29.6878],
       [-111.5081, 33.751],
-      [-119.0274, 36.9559]
+      [-119.0274, 36.9559],
+      [-88.1589, 31.8534],
+      [-149.6106, 68.6307],
+      [-84.2793, 35.9574],
+      [-105.9154, 39.8914],
+      [-102.4471, 39.7582],
+      [-82.0084, 29.676],
+      [-119.2575, 37.0597],
+      [-110.5871, 44.9501],
+      [-96.6242, 34.4442]
     ]
   },
   "properties": {
-    "description": "\nmodel info: NA\n\nSites: TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR\n\nVariables: Daily Water_temperature",
+    "description": "\nmodel info: NA\n\nSites: BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE\n\nVariables: Daily Water_temperature",
     "start_datetime": "2023-11-10",
     "end_datetime": "2024-01-08",
     "providers": [
diff --git a/catalog/scores/models/model_items/fARIMA_clim_ensemble.json b/catalog/scores/models/model_items/fARIMA_clim_ensemble.json
index 5762dae0d3..e475e94806 100644
--- a/catalog/scores/models/model_items/fARIMA_clim_ensemble.json
+++ b/catalog/scores/models/model_items/fARIMA_clim_ensemble.json
@@ -22,16 +22,16 @@
       [-87.4077, 32.9604],
       [-96.443, 38.9459],
       [-122.1655, 44.2596],
+      [-96.6038, 39.1051],
+      [-78.1473, 38.8943],
+      [-111.7979, 40.7839],
       [-105.5442, 40.035],
       [-89.4737, 46.2097],
       [-66.9868, 18.1135],
       [-84.4374, 31.1854],
       [-66.7987, 18.1741],
       [-72.3295, 42.4719],
-      [-96.6038, 39.1051],
-      [-78.1473, 38.8943],
       [-97.7823, 33.3785],
-      [-111.7979, 40.7839],
       [-82.0177, 29.6878],
       [-111.5081, 33.751],
       [-102.4471, 39.7582],
@@ -45,7 +45,7 @@
     ]
   },
   "properties": {
-    "description": "\nmodel info: NA\n\nSites: LECO, LEWI, MART, MAYF, MCDI, MCRA, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, POSE, PRIN, REDB, SUGG, SYCA, ARIK, BARC, BLDE, BLUE, BLWA, WALK, WLOU, TOMB\n\nVariables: Daily Water_temperature",
+    "description": "\nmodel info: NA\n\nSites: LECO, LEWI, MART, MAYF, MCDI, MCRA, KING, POSE, REDB, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, PRIN, SUGG, SYCA, ARIK, BARC, BLDE, BLUE, BLWA, WALK, WLOU, TOMB\n\nVariables: Daily Water_temperature",
     "start_datetime": "2023-11-10",
     "end_datetime": "2024-01-04",
     "providers": [
diff --git a/catalog/scores/models/model_items/mean.json b/catalog/scores/models/model_items/mean.json
index 382799ef1a..a77005267c 100644
--- a/catalog/scores/models/model_items/mean.json
+++ b/catalog/scores/models/model_items/mean.json
@@ -24,12 +24,6 @@
       [-84.2826, 35.9641],
       [-145.7514, 63.8811],
       [-149.3705, 68.6611],
-      [-84.4686, 31.1948],
-      [-106.8425, 32.5907],
-      [-89.5857, 45.4937],
-      [-95.1921, 39.0404],
-      [-76.56, 38.8901],
-      [-99.1066, 47.1617],
       [-87.8039, 32.5417],
       [-81.4362, 28.1251],
       [-83.5019, 35.689],
@@ -47,13 +41,19 @@
       [-66.8687, 17.9696],
       [-72.1727, 42.5369],
       [-88.1612, 31.8539],
+      [-76.56, 38.8901],
       [-119.7323, 37.1088],
       [-87.3933, 32.9505],
       [-119.006, 37.0058],
+      [-99.1066, 47.1617],
       [-104.7456, 40.8155],
       [-99.0588, 35.4106],
       [-112.4524, 40.1776],
       [-89.5864, 45.5089],
+      [-84.4686, 31.1948],
+      [-106.8425, 32.5907],
+      [-89.5857, 45.4937],
+      [-95.1921, 39.0404],
       [-89.5373, 46.2339],
       [-78.0418, 39.0337],
       [-119.2622, 37.0334],
diff --git a/catalog/scores/models/model_items/persistenceRW.json b/catalog/scores/models/model_items/persistenceRW.json
index 8681304e32..c6e94790b0 100644
--- a/catalog/scores/models/model_items/persistenceRW.json
+++ b/catalog/scores/models/model_items/persistenceRW.json
@@ -16,53 +16,53 @@
   "geometry": {
     "type": "MultiPoint",
     "coordinates": [
-      [-99.0588, 35.4106],
-      [-112.4524, 40.1776],
-      [-84.2826, 35.9641],
-      [-81.9934, 29.6893],
-      [-155.3173, 19.5531],
-      [-105.546, 40.2759],
-      [-84.4686, 31.1948],
-      [-106.8425, 32.5907],
-      [-96.6129, 39.1104],
-      [-96.5631, 39.1008],
-      [-67.0769, 18.0213],
-      [-88.1612, 31.8539],
       [-119.7323, 37.1088],
       [-119.2622, 37.0334],
       [-110.8355, 31.9107],
       [-89.5864, 45.5089],
       [-103.0293, 40.4619],
       [-87.3933, 32.9505],
+      [-67.0769, 18.0213],
+      [-88.1612, 31.8539],
+      [-80.5248, 37.3783],
+      [-109.3883, 38.2483],
+      [-105.5824, 40.0543],
+      [-100.9154, 46.7697],
       [-87.8039, 32.5417],
       [-81.4362, 28.1251],
       [-83.5019, 35.689],
       [-66.8687, 17.9696],
       [-72.1727, 42.5369],
       [-149.2133, 63.8758],
-      [-80.5248, 37.3783],
-      [-109.3883, 38.2483],
-      [-105.5824, 40.0543],
-      [-100.9154, 46.7697],
-      [-89.7048, 45.9983],
+      [-84.4686, 31.1948],
+      [-106.8425, 32.5907],
+      [-96.6129, 39.1104],
+      [-96.5631, 39.1008],
+      [-97.7823, 33.3785],
       [-99.1139, 47.1591],
       [-99.2531, 47.1298],
+      [-111.7979, 40.7839],
       [-82.0177, 29.6878],
+      [-122.3303, 45.7624],
+      [-99.2413, 47.1282],
+      [-121.9519, 45.8205],
+      [-110.5391, 44.9535],
+      [-89.7048, 45.9983],
       [-88.1589, 31.8534],
       [-149.6106, 68.6307],
-      [-122.3303, 45.7624],
       [-156.6194, 71.2824],
       [-71.2874, 44.0639],
       [-78.0418, 39.0337],
       [-147.5026, 65.154],
+      [-81.9934, 29.6893],
+      [-155.3173, 19.5531],
+      [-105.546, 40.2759],
       [-78.1395, 38.8929],
       [-76.56, 38.8901],
       [-89.5373, 46.2339],
-      [-99.2413, 47.1282],
-      [-121.9519, 45.8205],
-      [-110.5391, 44.9535],
-      [-97.7823, 33.3785],
-      [-111.7979, 40.7839],
+      [-99.0588, 35.4106],
+      [-112.4524, 40.1776],
+      [-84.2826, 35.9641],
       [-149.3705, 68.6611],
       [-89.5857, 45.4937],
       [-95.1921, 39.0404],
@@ -81,26 +81,26 @@
       [-77.9832, 39.0956],
       [-121.9338, 45.7908],
       [-87.4077, 32.9604],
-      [-97.57, 33.4012],
-      [-104.7456, 40.8155],
-      [-99.1066, 47.1617],
-      [-145.7514, 63.8811],
-      [-96.6242, 34.4442],
       [-87.7982, 32.5415],
       [-147.504, 65.1532],
       [-105.5442, 40.035],
       [-89.4737, 46.2097],
-      [-119.006, 37.0058],
       [-111.5081, 33.751],
       [-105.9154, 39.8914],
-      [-102.4471, 39.7582],
+      [-97.57, 33.4012],
+      [-104.7456, 40.8155],
+      [-99.1066, 47.1617],
+      [-145.7514, 63.8811],
+      [-119.006, 37.0058],
+      [-96.6242, 34.4442],
       [-82.0084, 29.676],
+      [-102.4471, 39.7582],
       [-119.2575, 37.0597],
       [-110.5871, 44.9501]
     ]
   },
   "properties": {
-    "description": ["\nmodel info: Random walk from the fable package with ensembles used to represent uncertainty\n\nSites: OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, JERC, JORN, KONA, KONZ, LAJA, LENO, SJER, SOAP, SRER, STEI, STER, TALL, DELA, DSNY, GRSM, GUAN, HARV, HEAL, MLBS, MOAB, NIWO, NOGP, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, ABBY, BARR, BART, BLAN, BONA, SCBI, SERC, UNDE, WOOD, WREF, YELL, PRIN, REDB, TOOL, TREE, UKFS, CUPE, FLNT, GUIL, HOPB, KING, MCDI, MCRA, OKSR, POSE, TECR, WALK, LECO, LEWI, MART, MAYF, CLBJ, CPER, DCFS, DEJU, BLUE, BLWA, CARI, COMO, CRAM, TEAK, SYCA, WLOU, ARIK, BARC, BIGC, BLDE\n\nVariables: Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Dissolved_oxygen, Daily Water_temperature", "\nmodel info: NA\n\nSites: OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, JERC, JORN, KONA, KONZ, LAJA, LENO, SJER, SOAP, SRER, STEI, STER, TALL, DELA, DSNY, GRSM, GUAN, HARV, HEAL, MLBS, MOAB, NIWO, NOGP, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, ABBY, BARR, BART, BLAN, BONA, SCBI, SERC, UNDE, WOOD, WREF, YELL, PRIN, REDB, TOOL, TREE, UKFS, CUPE, FLNT, GUIL, HOPB, KING, MCDI, MCRA, OKSR, POSE, TECR, WALK, LECO, LEWI, MART, MAYF, CLBJ, CPER, DCFS, DEJU, BLUE, BLWA, CARI, COMO, CRAM, TEAK, SYCA, WLOU, ARIK, BARC, BIGC, BLDE\n\nVariables: Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Dissolved_oxygen, Daily Water_temperature"],
+    "description": ["\nmodel info: Random walk from the fable package with ensembles used to represent uncertainty\n\nSites: SJER, SOAP, SRER, STEI, STER, TALL, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, PRIN, PRLA, PRPO, REDB, SUGG, ABBY, WOOD, WREF, YELL, LIRO, TOMB, TOOK, BARR, BART, BLAN, BONA, OSBS, PUUM, RMNP, SCBI, SERC, UNDE, OAES, ONAQ, ORNL, TOOL, TREE, UKFS, CUPE, FLNT, GUIL, HOPB, KING, MCDI, MCRA, OKSR, POSE, TECR, WALK, LECO, LEWI, MART, MAYF, BLWA, CARI, COMO, CRAM, SYCA, WLOU, CLBJ, CPER, DCFS, DEJU, TEAK, BLUE, BARC, ARIK, BIGC, BLDE\n\nVariables: Daily Net_ecosystem_exchange, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily Chlorophyll_a, Daily Water_temperature", "\nmodel info: NA\n\nSites: SJER, SOAP, SRER, STEI, STER, TALL, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, PRIN, PRLA, PRPO, REDB, SUGG, ABBY, WOOD, WREF, YELL, LIRO, TOMB, TOOK, BARR, BART, BLAN, BONA, OSBS, PUUM, RMNP, SCBI, SERC, UNDE, OAES, ONAQ, ORNL, TOOL, TREE, UKFS, CUPE, FLNT, GUIL, HOPB, KING, MCDI, MCRA, OKSR, POSE, TECR, WALK, LECO, LEWI, MART, MAYF, BLWA, CARI, COMO, CRAM, SYCA, WLOU, CLBJ, CPER, DCFS, DEJU, TEAK, BLUE, BARC, ARIK, BIGC, BLDE\n\nVariables: Daily Net_ecosystem_exchange, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily Chlorophyll_a, Daily Water_temperature"],
     "start_datetime": "2023-11-15",
     "end_datetime": "2024-01-09",
     "providers": [
@@ -125,11 +125,11 @@
     "keywords": [
       "Forecasting",
       "neon4cast",
-      "Daily Red_chromatic_coordinate",
       "Daily Net_ecosystem_exchange",
       "Daily Green_chromatic_coordinate",
-      "Daily Chlorophyll_a",
       "Daily Dissolved_oxygen",
+      "Daily Red_chromatic_coordinate",
+      "Daily Chlorophyll_a",
       "Daily Water_temperature"
     ],
     "table:columns": [
@@ -282,34 +282,34 @@
       "description": "The link to the model code provided by the model submission team"
     },
     "3": {
-      "type": "application/x-parquet",
-      "title": "Database Access for Daily Red_chromatic_coordinate",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
-    },
-    "4": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Net_ecosystem_exchange",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
-    "5": {
+    "4": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Green_chromatic_coordinate",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
+    "5": {
+      "type": "application/x-parquet",
+      "title": "Database Access for Daily Dissolved_oxygen",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+    },
     "6": {
       "type": "application/x-parquet",
-      "title": "Database Access for Daily Chlorophyll_a",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+      "title": "Database Access for Daily Red_chromatic_coordinate",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
     "7": {
       "type": "application/x-parquet",
-      "title": "Database Access for Daily Dissolved_oxygen",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+      "title": "Database Access for Daily Chlorophyll_a",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=persistenceRW?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
     "8": {
       "type": "application/x-parquet",
diff --git a/catalog/scores/models/model_items/tg_arima.json b/catalog/scores/models/model_items/tg_arima.json
index 68e95e2956..8b326b97b8 100644
--- a/catalog/scores/models/model_items/tg_arima.json
+++ b/catalog/scores/models/model_items/tg_arima.json
@@ -16,40 +16,6 @@
   "geometry": {
     "type": "MultiPoint",
     "coordinates": [
-      [-96.6038, 39.1051],
-      [-83.5038, 35.6904],
-      [-77.9832, 39.0956],
-      [-89.7048, 45.9983],
-      [-121.9338, 45.7908],
-      [-87.4077, 32.9604],
-      [-96.443, 38.9459],
-      [-122.1655, 44.2596],
-      [-149.143, 68.6698],
-      [-78.1473, 38.8943],
-      [-97.7823, 33.3785],
-      [-99.1139, 47.1591],
-      [-99.2531, 47.1298],
-      [-111.7979, 40.7839],
-      [-82.0177, 29.6878],
-      [-111.5081, 33.751],
-      [-119.0274, 36.9559],
-      [-88.1589, 31.8534],
-      [-149.6106, 68.6307],
-      [-84.2793, 35.9574],
-      [-105.9154, 39.8914],
-      [-102.4471, 39.7582],
-      [-82.0084, 29.676],
-      [-119.2575, 37.0597],
-      [-110.5871, 44.9501],
-      [-96.6242, 34.4442],
-      [-87.7982, 32.5415],
-      [-147.504, 65.1532],
-      [-105.5442, 40.035],
-      [-89.4737, 46.2097],
-      [-66.9868, 18.1135],
-      [-84.4374, 31.1854],
-      [-66.7987, 18.1741],
-      [-72.3295, 42.4719],
       [-122.3303, 45.7624],
       [-156.6194, 71.2824],
       [-71.2874, 44.0639],
@@ -96,11 +62,45 @@
       [-89.5373, 46.2339],
       [-99.2413, 47.1282],
       [-121.9519, 45.8205],
-      [-110.5391, 44.9535]
+      [-110.5391, 44.9535],
+      [-96.6038, 39.1051],
+      [-83.5038, 35.6904],
+      [-77.9832, 39.0956],
+      [-89.7048, 45.9983],
+      [-121.9338, 45.7908],
+      [-87.4077, 32.9604],
+      [-96.443, 38.9459],
+      [-122.1655, 44.2596],
+      [-149.143, 68.6698],
+      [-78.1473, 38.8943],
+      [-97.7823, 33.3785],
+      [-99.1139, 47.1591],
+      [-99.2531, 47.1298],
+      [-111.7979, 40.7839],
+      [-82.0177, 29.6878],
+      [-111.5081, 33.751],
+      [-119.0274, 36.9559],
+      [-88.1589, 31.8534],
+      [-149.6106, 68.6307],
+      [-84.2793, 35.9574],
+      [-105.9154, 39.8914],
+      [-102.4471, 39.7582],
+      [-82.0084, 29.676],
+      [-119.2575, 37.0597],
+      [-110.5871, 44.9501],
+      [-96.6242, 34.4442],
+      [-87.7982, 32.5415],
+      [-147.504, 65.1532],
+      [-105.5442, 40.035],
+      [-89.4737, 46.2097],
+      [-66.9868, 18.1135],
+      [-84.4374, 31.1854],
+      [-66.7987, 18.1741],
+      [-72.3295, 42.4719]
     ]
   },
   "properties": {
-    "description": "\nmodel info: NA\n\nSites: KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL\n\nVariables: Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily latent_heat_flux, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population",
+    "description": "\nmodel info: NA\n\nSites: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB\n\nVariables: Daily latent_heat_flux, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population",
     "start_datetime": "2023-01-01",
     "end_datetime": "2024-11-25",
     "providers": [
@@ -125,12 +125,12 @@
     "keywords": [
       "Forecasting",
       "neon4cast",
-      "Daily Dissolved_oxygen",
-      "Daily Red_chromatic_coordinate",
       "Daily latent_heat_flux",
       "Daily Net_ecosystem_exchange",
+      "Daily Dissolved_oxygen",
       "Daily Chlorophyll_a",
       "Daily Green_chromatic_coordinate",
+      "Daily Red_chromatic_coordinate",
       "Daily Water_temperature",
       "Weekly beetle_community_abundance",
       "Weekly beetle_community_richness",
@@ -286,41 +286,41 @@
       "description": "The link to the model code provided by the model submission team"
     },
     "3": {
-      "type": "application/x-parquet",
-      "title": "Database Access for Daily Dissolved_oxygen",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
-    },
-    "4": {
-      "type": "application/x-parquet",
-      "title": "Database Access for Daily Red_chromatic_coordinate",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
-    },
-    "5": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily latent_heat_flux",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
-    "6": {
+    "4": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Net_ecosystem_exchange",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
-    "7": {
+    "5": {
+      "type": "application/x-parquet",
+      "title": "Database Access for Daily Dissolved_oxygen",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+    },
+    "6": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Chlorophyll_a",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
-    "8": {
+    "7": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Green_chromatic_coordinate",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
+    "8": {
+      "type": "application/x-parquet",
+      "title": "Database Access for Daily Red_chromatic_coordinate",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_arima?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+    },
     "9": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Water_temperature",
diff --git a/catalog/scores/models/model_items/tg_bag_mlp.json b/catalog/scores/models/model_items/tg_bag_mlp.json
index d1c3e121a7..c2740301ef 100644
--- a/catalog/scores/models/model_items/tg_bag_mlp.json
+++ b/catalog/scores/models/model_items/tg_bag_mlp.json
@@ -16,36 +16,6 @@
   "geometry": {
     "type": "MultiPoint",
     "coordinates": [
-      [-102.4471, 39.7582],
-      [-82.0084, 29.676],
-      [-119.2575, 37.0597],
-      [-110.5871, 44.9501],
-      [-96.6242, 34.4442],
-      [-87.7982, 32.5415],
-      [-147.504, 65.1532],
-      [-105.5442, 40.035],
-      [-89.4737, 46.2097],
-      [-66.9868, 18.1135],
-      [-84.4374, 31.1854],
-      [-66.7987, 18.1741],
-      [-72.3295, 42.4719],
-      [-96.6038, 39.1051],
-      [-83.5038, 35.6904],
-      [-77.9832, 39.0956],
-      [-89.7048, 45.9983],
-      [-121.9338, 45.7908],
-      [-87.4077, 32.9604],
-      [-96.443, 38.9459],
-      [-122.1655, 44.2596],
-      [-149.143, 68.6698],
-      [-78.1473, 38.8943],
-      [-97.7823, 33.3785],
-      [-99.1139, 47.1591],
-      [-99.2531, 47.1298],
-      [-111.7979, 40.7839],
-      [-82.0177, 29.6878],
-      [-111.5081, 33.751],
-      [-119.0274, 36.9559],
       [-122.3303, 45.7624],
       [-156.6194, 71.2824],
       [-71.2874, 44.0639],
@@ -78,6 +48,36 @@
       [-155.3173, 19.5531],
       [-105.546, 40.2759],
       [-78.1395, 38.8929],
+      [-102.4471, 39.7582],
+      [-82.0084, 29.676],
+      [-119.2575, 37.0597],
+      [-110.5871, 44.9501],
+      [-96.6242, 34.4442],
+      [-87.7982, 32.5415],
+      [-147.504, 65.1532],
+      [-105.5442, 40.035],
+      [-89.4737, 46.2097],
+      [-66.9868, 18.1135],
+      [-84.4374, 31.1854],
+      [-66.7987, 18.1741],
+      [-72.3295, 42.4719],
+      [-96.6038, 39.1051],
+      [-83.5038, 35.6904],
+      [-77.9832, 39.0956],
+      [-89.7048, 45.9983],
+      [-121.9338, 45.7908],
+      [-87.4077, 32.9604],
+      [-96.443, 38.9459],
+      [-122.1655, 44.2596],
+      [-149.143, 68.6698],
+      [-78.1473, 38.8943],
+      [-97.7823, 33.3785],
+      [-99.1139, 47.1591],
+      [-99.2531, 47.1298],
+      [-111.7979, 40.7839],
+      [-82.0177, 29.6878],
+      [-111.5081, 33.751],
+      [-119.0274, 36.9559],
       [-76.56, 38.8901],
       [-119.7323, 37.1088],
       [-119.2622, 37.0334],
@@ -125,11 +125,11 @@
     "keywords": [
       "Forecasting",
       "neon4cast",
-      "Daily Dissolved_oxygen",
       "Daily Net_ecosystem_exchange",
+      "Daily Dissolved_oxygen",
       "Daily Green_chromatic_coordinate",
-      "Daily Red_chromatic_coordinate",
       "Daily Chlorophyll_a",
+      "Daily Red_chromatic_coordinate",
       "Daily Water_temperature",
       "Daily latent_heat_flux"
     ],
@@ -283,17 +283,17 @@
       "description": "The link to the model code provided by the model submission team"
     },
     "3": {
-      "type": "application/x-parquet",
-      "title": "Database Access for Daily Dissolved_oxygen",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
-    },
-    "4": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Net_ecosystem_exchange",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
+    "4": {
+      "type": "application/x-parquet",
+      "title": "Database Access for Daily Dissolved_oxygen",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+    },
     "5": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Green_chromatic_coordinate",
@@ -301,17 +301,17 @@
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
     "6": {
-      "type": "application/x-parquet",
-      "title": "Database Access for Daily Red_chromatic_coordinate",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
-    },
-    "7": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Chlorophyll_a",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
+    "7": {
+      "type": "application/x-parquet",
+      "title": "Database Access for Daily Red_chromatic_coordinate",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_bag_mlp?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+    },
     "8": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Water_temperature",
diff --git a/catalog/scores/models/model_items/tg_ets.json b/catalog/scores/models/model_items/tg_ets.json
index b4b8e2b780..2fd1dfb450 100644
--- a/catalog/scores/models/model_items/tg_ets.json
+++ b/catalog/scores/models/model_items/tg_ets.json
@@ -16,29 +16,6 @@
   "geometry": {
     "type": "MultiPoint",
     "coordinates": [
-      [-100.9154, 46.7697],
-      [-99.0588, 35.4106],
-      [-112.4524, 40.1776],
-      [-84.2826, 35.9641],
-      [-81.9934, 29.6893],
-      [-155.3173, 19.5531],
-      [-105.546, 40.2759],
-      [-78.1395, 38.8929],
-      [-76.56, 38.8901],
-      [-119.7323, 37.1088],
-      [-119.2622, 37.0334],
-      [-110.8355, 31.9107],
-      [-89.5864, 45.5089],
-      [-103.0293, 40.4619],
-      [-87.3933, 32.9505],
-      [-119.006, 37.0058],
-      [-149.3705, 68.6611],
-      [-89.5857, 45.4937],
-      [-95.1921, 39.0404],
-      [-89.5373, 46.2339],
-      [-99.2413, 47.1282],
-      [-121.9519, 45.8205],
-      [-110.5391, 44.9535],
       [-122.3303, 45.7624],
       [-156.6194, 71.2824],
       [-71.2874, 44.0639],
@@ -63,6 +40,29 @@
       [-80.5248, 37.3783],
       [-109.3883, 38.2483],
       [-105.5824, 40.0543],
+      [-100.9154, 46.7697],
+      [-99.0588, 35.4106],
+      [-112.4524, 40.1776],
+      [-84.2826, 35.9641],
+      [-81.9934, 29.6893],
+      [-155.3173, 19.5531],
+      [-105.546, 40.2759],
+      [-78.1395, 38.8929],
+      [-76.56, 38.8901],
+      [-119.7323, 37.1088],
+      [-119.2622, 37.0334],
+      [-110.8355, 31.9107],
+      [-89.5864, 45.5089],
+      [-103.0293, 40.4619],
+      [-87.3933, 32.9505],
+      [-119.006, 37.0058],
+      [-149.3705, 68.6611],
+      [-89.5857, 45.4937],
+      [-95.1921, 39.0404],
+      [-89.5373, 46.2339],
+      [-99.2413, 47.1282],
+      [-121.9519, 45.8205],
+      [-110.5391, 44.9535],
       [-102.4471, 39.7582],
       [-82.0084, 29.676],
       [-119.2575, 37.0597],
@@ -100,7 +100,7 @@
     ]
   },
   "properties": {
-    "description": "\nmodel info: NA\n\nSites: NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU\n\nVariables: Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Water_temperature, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Weekly beetle_community_richness",
+    "description": "\nmodel info: NA\n\nSites: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU\n\nVariables: Daily latent_heat_flux, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Daily Water_temperature, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Weekly beetle_community_richness",
     "start_datetime": "2023-01-01",
     "end_datetime": "2024-11-25",
     "providers": [
@@ -125,12 +125,12 @@
     "keywords": [
       "Forecasting",
       "neon4cast",
+      "Daily latent_heat_flux",
       "Daily Net_ecosystem_exchange",
       "Daily Dissolved_oxygen",
-      "Daily Red_chromatic_coordinate",
-      "Daily latent_heat_flux",
       "Daily Chlorophyll_a",
       "Daily Green_chromatic_coordinate",
+      "Daily Red_chromatic_coordinate",
       "Daily Water_temperature",
       "Weekly beetle_community_abundance",
       "Weekly Amblyomma_americanum_population",
@@ -286,41 +286,41 @@
       "description": "The link to the model code provided by the model submission team"
     },
     "3": {
+      "type": "application/x-parquet",
+      "title": "Database Access for Daily latent_heat_flux",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+    },
+    "4": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Net_ecosystem_exchange",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
-    "4": {
+    "5": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Dissolved_oxygen",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
-    "5": {
-      "type": "application/x-parquet",
-      "title": "Database Access for Daily Red_chromatic_coordinate",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
-    },
     "6": {
-      "type": "application/x-parquet",
-      "title": "Database Access for Daily latent_heat_flux",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
-    },
-    "7": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Chlorophyll_a",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
-    "8": {
+    "7": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Green_chromatic_coordinate",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
+    "8": {
+      "type": "application/x-parquet",
+      "title": "Database Access for Daily Red_chromatic_coordinate",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_ets?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+    },
     "9": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Water_temperature",
diff --git a/catalog/scores/models/model_items/tg_humidity_lm.json b/catalog/scores/models/model_items/tg_humidity_lm.json
index 89944362ae..b5e7ac4a06 100644
--- a/catalog/scores/models/model_items/tg_humidity_lm.json
+++ b/catalog/scores/models/model_items/tg_humidity_lm.json
@@ -32,6 +32,21 @@
       [-99.2413, 47.1282],
       [-121.9519, 45.8205],
       [-110.5391, 44.9535],
+      [-122.3303, 45.7624],
+      [-156.6194, 71.2824],
+      [-71.2874, 44.0639],
+      [-78.0418, 39.0337],
+      [-147.5026, 65.154],
+      [-97.57, 33.4012],
+      [-104.7456, 40.8155],
+      [-99.1066, 47.1617],
+      [-145.7514, 63.8811],
+      [-87.8039, 32.5417],
+      [-81.4362, 28.1251],
+      [-83.5019, 35.689],
+      [-66.8687, 17.9696],
+      [-72.1727, 42.5369],
+      [-149.2133, 63.8758],
       [-84.4686, 31.1948],
       [-106.8425, 32.5907],
       [-96.6129, 39.1104],
@@ -48,21 +63,6 @@
       [-81.9934, 29.6893],
       [-155.3173, 19.5531],
       [-105.546, 40.2759],
-      [-122.3303, 45.7624],
-      [-156.6194, 71.2824],
-      [-71.2874, 44.0639],
-      [-78.0418, 39.0337],
-      [-147.5026, 65.154],
-      [-97.57, 33.4012],
-      [-104.7456, 40.8155],
-      [-99.1066, 47.1617],
-      [-145.7514, 63.8811],
-      [-87.8039, 32.5417],
-      [-81.4362, 28.1251],
-      [-83.5019, 35.689],
-      [-66.8687, 17.9696],
-      [-72.1727, 42.5369],
-      [-149.2133, 63.8758],
       [-82.0084, 29.676],
       [-87.7982, 32.5415],
       [-89.4737, 46.2097],
@@ -100,7 +100,7 @@
     ]
   },
   "properties": {
-    "description": "\nmodel info: NA\n\nSites: SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, SYCA, TECR, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB\n\nVariables: Daily Net_ecosystem_exchange, Daily latent_heat_flux, Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population",
+    "description": "\nmodel info: NA\n\nSites: SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, SYCA, TECR, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB\n\nVariables: Daily Net_ecosystem_exchange, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Red_chromatic_coordinate, Daily Dissolved_oxygen, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population",
     "start_datetime": "2023-11-14",
     "end_datetime": "2024-01-09",
     "providers": [
@@ -126,11 +126,11 @@
       "Forecasting",
       "neon4cast",
       "Daily Net_ecosystem_exchange",
-      "Daily latent_heat_flux",
       "Daily Green_chromatic_coordinate",
+      "Daily latent_heat_flux",
       "Daily Chlorophyll_a",
-      "Daily Dissolved_oxygen",
       "Daily Red_chromatic_coordinate",
+      "Daily Dissolved_oxygen",
       "Daily Water_temperature",
       "Weekly beetle_community_abundance",
       "Weekly beetle_community_richness",
@@ -292,17 +292,17 @@
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
     "4": {
-      "type": "application/x-parquet",
-      "title": "Database Access for Daily latent_heat_flux",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
-    },
-    "5": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Green_chromatic_coordinate",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
+    "5": {
+      "type": "application/x-parquet",
+      "title": "Database Access for Daily latent_heat_flux",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+    },
     "6": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Chlorophyll_a",
@@ -310,17 +310,17 @@
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
     "7": {
-      "type": "application/x-parquet",
-      "title": "Database Access for Daily Dissolved_oxygen",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
-    },
-    "8": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Red_chromatic_coordinate",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
+    "8": {
+      "type": "application/x-parquet",
+      "title": "Database Access for Daily Dissolved_oxygen",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_humidity_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+    },
     "9": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Water_temperature",
diff --git a/catalog/scores/models/model_items/tg_humidity_lm_all_sites.json b/catalog/scores/models/model_items/tg_humidity_lm_all_sites.json
index d2eb8160b6..de90e83fd2 100644
--- a/catalog/scores/models/model_items/tg_humidity_lm_all_sites.json
+++ b/catalog/scores/models/model_items/tg_humidity_lm_all_sites.json
@@ -100,7 +100,7 @@
     ]
   },
   "properties": {
-    "description": "\nmodel info: NA\n\nSites: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, OKSR, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA\n\nVariables: Daily Net_ecosystem_exchange, Daily Red_chromatic_coordinate, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Water_temperature, Daily Dissolved_oxygen, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population",
+    "description": "\nmodel info: NA\n\nSites: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, OKSR, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA\n\nVariables: Daily Net_ecosystem_exchange, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Red_chromatic_coordinate, Daily Chlorophyll_a, Daily Water_temperature, Daily Dissolved_oxygen, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population",
     "start_datetime": "2023-11-14",
     "end_datetime": "2024-01-09",
     "providers": [
@@ -126,9 +126,9 @@
       "Forecasting",
       "neon4cast",
       "Daily Net_ecosystem_exchange",
-      "Daily Red_chromatic_coordinate",
       "Daily Green_chromatic_coordinate",
       "Daily latent_heat_flux",
+      "Daily Red_chromatic_coordinate",
       "Daily Chlorophyll_a",
       "Daily Water_temperature",
       "Daily Dissolved_oxygen",
@@ -292,23 +292,23 @@
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
     "4": {
-      "type": "application/x-parquet",
-      "title": "Database Access for Daily Red_chromatic_coordinate",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
-    },
-    "5": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Green_chromatic_coordinate",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
-    "6": {
+    "5": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily latent_heat_flux",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
+    "6": {
+      "type": "application/x-parquet",
+      "title": "Database Access for Daily Red_chromatic_coordinate",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_humidity_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+    },
     "7": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Chlorophyll_a",
diff --git a/catalog/scores/models/model_items/tg_lasso_all_sites.json b/catalog/scores/models/model_items/tg_lasso_all_sites.json
index c64428b352..edfad1598a 100644
--- a/catalog/scores/models/model_items/tg_lasso_all_sites.json
+++ b/catalog/scores/models/model_items/tg_lasso_all_sites.json
@@ -16,15 +16,6 @@
   "geometry": {
     "type": "MultiPoint",
     "coordinates": [
-      [-102.4471, 39.7582],
-      [-82.0084, 29.676],
-      [-119.2575, 37.0597],
-      [-110.5871, 44.9501],
-      [-96.6242, 34.4442],
-      [-87.7982, 32.5415],
-      [-147.504, 65.1532],
-      [-105.5442, 40.035],
-      [-89.4737, 46.2097],
       [-66.9868, 18.1135],
       [-84.4374, 31.1854],
       [-66.7987, 18.1741],
@@ -50,6 +41,15 @@
       [-149.6106, 68.6307],
       [-84.2793, 35.9574],
       [-105.9154, 39.8914],
+      [-102.4471, 39.7582],
+      [-82.0084, 29.676],
+      [-119.2575, 37.0597],
+      [-110.5871, 44.9501],
+      [-96.6242, 34.4442],
+      [-87.7982, 32.5415],
+      [-147.504, 65.1532],
+      [-105.5442, 40.035],
+      [-89.4737, 46.2097],
       [-110.8355, 31.9107],
       [-89.5864, 45.5089],
       [-103.0293, 40.4619],
@@ -127,9 +127,9 @@
       "neon4cast",
       "Daily Dissolved_oxygen",
       "Daily Chlorophyll_a",
+      "Daily Water_temperature",
       "Daily Green_chromatic_coordinate",
       "Daily Red_chromatic_coordinate",
-      "Daily Water_temperature",
       "Weekly beetle_community_abundance",
       "Weekly beetle_community_richness",
       "Weekly Amblyomma_americanum_population"
@@ -296,23 +296,23 @@
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
     "5": {
+      "type": "application/x-parquet",
+      "title": "Database Access for Daily Water_temperature",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=temperature/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=temperature/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+    },
+    "6": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Green_chromatic_coordinate",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
-    "6": {
+    "7": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Red_chromatic_coordinate",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
-    "7": {
-      "type": "application/x-parquet",
-      "title": "Database Access for Daily Water_temperature",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=temperature/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=temperature/model_id=tg_lasso_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
-    },
     "8": {
       "type": "application/x-parquet",
       "title": "Database Access for Weekly beetle_community_abundance",
diff --git a/catalog/scores/models/model_items/tg_precip_lm.json b/catalog/scores/models/model_items/tg_precip_lm.json
index 75ae781ae7..f9cc69cba6 100644
--- a/catalog/scores/models/model_items/tg_precip_lm.json
+++ b/catalog/scores/models/model_items/tg_precip_lm.json
@@ -100,7 +100,7 @@
     ]
   },
   "properties": {
-    "description": "\nmodel info: NA\n\nSites: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, SYCA, TECR, TOMB, TOOK, WALK, WLOU, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB\n\nVariables: Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Net_ecosystem_exchange, Daily Red_chromatic_coordinate, Daily Dissolved_oxygen, Daily Chlorophyll_a, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population",
+    "description": "\nmodel info: NA\n\nSites: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, SYCA, TECR, TOMB, TOOK, WALK, WLOU, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB\n\nVariables: Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Chlorophyll_a, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population",
     "start_datetime": "2023-11-14",
     "end_datetime": "2024-01-09",
     "providers": [
@@ -127,8 +127,8 @@
       "neon4cast",
       "Daily Green_chromatic_coordinate",
       "Daily latent_heat_flux",
-      "Daily Net_ecosystem_exchange",
       "Daily Red_chromatic_coordinate",
+      "Daily Net_ecosystem_exchange",
       "Daily Dissolved_oxygen",
       "Daily Chlorophyll_a",
       "Daily Water_temperature",
@@ -298,17 +298,17 @@
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
     "5": {
-      "type": "application/x-parquet",
-      "title": "Database Access for Daily Net_ecosystem_exchange",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
-    },
-    "6": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Red_chromatic_coordinate",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
+    "6": {
+      "type": "application/x-parquet",
+      "title": "Database Access for Daily Net_ecosystem_exchange",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_precip_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+    },
     "7": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Dissolved_oxygen",
diff --git a/catalog/scores/models/model_items/tg_precip_lm_all_sites.json b/catalog/scores/models/model_items/tg_precip_lm_all_sites.json
index c692674cc5..0f679ef486 100644
--- a/catalog/scores/models/model_items/tg_precip_lm_all_sites.json
+++ b/catalog/scores/models/model_items/tg_precip_lm_all_sites.json
@@ -63,27 +63,30 @@
       [-78.1395, 38.8929],
       [-76.56, 38.8901],
       [-119.7323, 37.1088],
+      [-82.0084, 29.676],
+      [-87.7982, 32.5415],
+      [-89.4737, 46.2097],
+      [-84.4374, 31.1854],
+      [-89.7048, 45.9983],
+      [-99.1139, 47.1591],
+      [-99.2531, 47.1298],
+      [-82.0177, 29.6878],
       [-88.1589, 31.8534],
       [-149.6106, 68.6307],
       [-84.2793, 35.9574],
       [-105.9154, 39.8914],
       [-102.4471, 39.7582],
-      [-82.0084, 29.676],
       [-119.2575, 37.0597],
       [-110.5871, 44.9501],
       [-96.6242, 34.4442],
-      [-87.7982, 32.5415],
       [-147.504, 65.1532],
       [-105.5442, 40.035],
-      [-89.4737, 46.2097],
       [-66.9868, 18.1135],
-      [-84.4374, 31.1854],
       [-66.7987, 18.1741],
       [-72.3295, 42.4719],
       [-96.6038, 39.1051],
       [-83.5038, 35.6904],
       [-77.9832, 39.0956],
-      [-89.7048, 45.9983],
       [-121.9338, 45.7908],
       [-87.4077, 32.9604],
       [-96.443, 38.9459],
@@ -91,16 +94,13 @@
       [-149.143, 68.6698],
       [-78.1473, 38.8943],
       [-97.7823, 33.3785],
-      [-99.1139, 47.1591],
-      [-99.2531, 47.1298],
       [-111.7979, 40.7839],
-      [-82.0177, 29.6878],
       [-111.5081, 33.751],
       [-119.0274, 36.9559]
     ]
   },
   "properties": {
-    "description": "\nmodel info: NA\n\nSites: SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR\n\nVariables: Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population",
+    "description": "\nmodel info: NA\n\nSites: SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR\n\nVariables: Daily Net_ecosystem_exchange, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population",
     "start_datetime": "2023-11-14",
     "end_datetime": "2024-01-09",
     "providers": [
@@ -126,11 +126,11 @@
       "Forecasting",
       "neon4cast",
       "Daily Net_ecosystem_exchange",
-      "Daily Dissolved_oxygen",
-      "Daily Red_chromatic_coordinate",
       "Daily latent_heat_flux",
       "Daily Chlorophyll_a",
       "Daily Green_chromatic_coordinate",
+      "Daily Dissolved_oxygen",
+      "Daily Red_chromatic_coordinate",
       "Daily Water_temperature",
       "Weekly beetle_community_abundance",
       "Weekly beetle_community_richness",
@@ -292,35 +292,35 @@
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
     "4": {
-      "type": "application/x-parquet",
-      "title": "Database Access for Daily Dissolved_oxygen",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
-    },
-    "5": {
-      "type": "application/x-parquet",
-      "title": "Database Access for Daily Red_chromatic_coordinate",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
-    },
-    "6": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily latent_heat_flux",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
-    "7": {
+    "5": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Chlorophyll_a",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
-    "8": {
+    "6": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Green_chromatic_coordinate",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
+    "7": {
+      "type": "application/x-parquet",
+      "title": "Database Access for Daily Dissolved_oxygen",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+    },
+    "8": {
+      "type": "application/x-parquet",
+      "title": "Database Access for Daily Red_chromatic_coordinate",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_precip_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+    },
     "9": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Water_temperature",
diff --git a/catalog/scores/models/model_items/tg_randfor.json b/catalog/scores/models/model_items/tg_randfor.json
index 56acf4f53c..a933cfc749 100644
--- a/catalog/scores/models/model_items/tg_randfor.json
+++ b/catalog/scores/models/model_items/tg_randfor.json
@@ -47,22 +47,6 @@
       [-99.2413, 47.1282],
       [-121.9519, 45.8205],
       [-110.5391, 44.9535],
-      [-122.3303, 45.7624],
-      [-156.6194, 71.2824],
-      [-71.2874, 44.0639],
-      [-78.0418, 39.0337],
-      [-147.5026, 65.154],
-      [-97.57, 33.4012],
-      [-104.7456, 40.8155],
-      [-99.1066, 47.1617],
-      [-145.7514, 63.8811],
-      [-87.8039, 32.5417],
-      [-81.4362, 28.1251],
-      [-83.5019, 35.689],
-      [-66.8687, 17.9696],
-      [-72.1727, 42.5369],
-      [-149.2133, 63.8758],
-      [-84.4686, 31.1948],
       [-102.4471, 39.7582],
       [-82.0084, 29.676],
       [-119.2575, 37.0597],
@@ -93,14 +77,30 @@
       [-82.0177, 29.6878],
       [-111.5081, 33.751],
       [-119.0274, 36.9559],
-      [-88.1589, 31.8534],
+      [-122.3303, 45.7624],
+      [-156.6194, 71.2824],
+      [-71.2874, 44.0639],
+      [-78.0418, 39.0337],
+      [-147.5026, 65.154],
+      [-97.57, 33.4012],
+      [-104.7456, 40.8155],
+      [-99.1066, 47.1617],
+      [-145.7514, 63.8811],
+      [-87.8039, 32.5417],
+      [-81.4362, 28.1251],
+      [-83.5019, 35.689],
+      [-66.8687, 17.9696],
+      [-72.1727, 42.5369],
+      [-149.2133, 63.8758],
+      [-84.4686, 31.1948],
       [-149.6106, 68.6307],
       [-84.2793, 35.9574],
-      [-105.9154, 39.8914]
+      [-105.9154, 39.8914],
+      [-88.1589, 31.8534]
     ]
   },
   "properties": {
-    "description": "\nmodel info: NA\n\nSites: JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU\n\nVariables: Daily latent_heat_flux, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Water_temperature, Daily Chlorophyll_a, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population",
+    "description": "\nmodel info: NA\n\nSites: JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, TOOK, WALK, WLOU, TOMB\n\nVariables: Daily latent_heat_flux, Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Red_chromatic_coordinate, Daily Water_temperature, Daily Chlorophyll_a, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population",
     "start_datetime": "2023-11-14",
     "end_datetime": "2024-01-08",
     "providers": [
@@ -126,10 +126,10 @@
       "Forecasting",
       "neon4cast",
       "Daily latent_heat_flux",
-      "Daily Green_chromatic_coordinate",
       "Daily Dissolved_oxygen",
-      "Daily Red_chromatic_coordinate",
+      "Daily Green_chromatic_coordinate",
       "Daily Net_ecosystem_exchange",
+      "Daily Red_chromatic_coordinate",
       "Daily Water_temperature",
       "Daily Chlorophyll_a",
       "Weekly beetle_community_abundance",
@@ -292,29 +292,29 @@
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
     "4": {
-      "type": "application/x-parquet",
-      "title": "Database Access for Daily Green_chromatic_coordinate",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
-    },
-    "5": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Dissolved_oxygen",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
-    "6": {
+    "5": {
       "type": "application/x-parquet",
-      "title": "Database Access for Daily Red_chromatic_coordinate",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+      "title": "Database Access for Daily Green_chromatic_coordinate",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
-    "7": {
+    "6": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Net_ecosystem_exchange",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
+    "7": {
+      "type": "application/x-parquet",
+      "title": "Database Access for Daily Red_chromatic_coordinate",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_randfor?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+    },
     "8": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Water_temperature",
diff --git a/catalog/scores/models/model_items/tg_randfor_all_sites.json b/catalog/scores/models/model_items/tg_randfor_all_sites.json
index c4bb98fa4f..03284cb1e4 100644
--- a/catalog/scores/models/model_items/tg_randfor_all_sites.json
+++ b/catalog/scores/models/model_items/tg_randfor_all_sites.json
@@ -16,14 +16,6 @@
   "geometry": {
     "type": "MultiPoint",
     "coordinates": [
-      [-102.4471, 39.7582],
-      [-82.0084, 29.676],
-      [-119.2575, 37.0597],
-      [-110.5871, 44.9501],
-      [-96.6242, 34.4442],
-      [-87.7982, 32.5415],
-      [-147.504, 65.1532],
-      [-105.5442, 40.035],
       [-89.4737, 46.2097],
       [-66.9868, 18.1135],
       [-84.4374, 31.1854],
@@ -50,6 +42,14 @@
       [-149.6106, 68.6307],
       [-84.2793, 35.9574],
       [-105.9154, 39.8914],
+      [-102.4471, 39.7582],
+      [-82.0084, 29.676],
+      [-119.2575, 37.0597],
+      [-110.5871, 44.9501],
+      [-96.6242, 34.4442],
+      [-87.7982, 32.5415],
+      [-147.504, 65.1532],
+      [-105.5442, 40.035],
       [-122.3303, 45.7624],
       [-156.6194, 71.2824],
       [-71.2874, 44.0639],
diff --git a/catalog/scores/models/model_items/tg_tbats.json b/catalog/scores/models/model_items/tg_tbats.json
index abc79fe8ef..7868d519bf 100644
--- a/catalog/scores/models/model_items/tg_tbats.json
+++ b/catalog/scores/models/model_items/tg_tbats.json
@@ -63,23 +63,28 @@
       [-99.2413, 47.1282],
       [-121.9519, 45.8205],
       [-110.5391, 44.9535],
-      [-102.4471, 39.7582],
       [-82.0084, 29.676],
+      [-87.7982, 32.5415],
+      [-89.4737, 46.2097],
+      [-84.4374, 31.1854],
+      [-89.7048, 45.9983],
+      [-99.1139, 47.1591],
+      [-99.2531, 47.1298],
+      [-82.0177, 29.6878],
+      [-88.1589, 31.8534],
+      [-149.6106, 68.6307],
+      [-102.4471, 39.7582],
       [-119.2575, 37.0597],
       [-110.5871, 44.9501],
       [-96.6242, 34.4442],
-      [-87.7982, 32.5415],
       [-147.504, 65.1532],
       [-105.5442, 40.035],
-      [-89.4737, 46.2097],
       [-66.9868, 18.1135],
-      [-84.4374, 31.1854],
       [-66.7987, 18.1741],
       [-72.3295, 42.4719],
       [-96.6038, 39.1051],
       [-83.5038, 35.6904],
       [-77.9832, 39.0956],
-      [-89.7048, 45.9983],
       [-121.9338, 45.7908],
       [-87.4077, 32.9604],
       [-96.443, 38.9459],
@@ -87,20 +92,15 @@
       [-149.143, 68.6698],
       [-78.1473, 38.8943],
       [-97.7823, 33.3785],
-      [-99.1139, 47.1591],
-      [-99.2531, 47.1298],
       [-111.7979, 40.7839],
-      [-82.0177, 29.6878],
       [-111.5081, 33.751],
       [-119.0274, 36.9559],
-      [-88.1589, 31.8534],
-      [-149.6106, 68.6307],
       [-84.2793, 35.9574],
       [-105.9154, 39.8914]
     ]
   },
   "properties": {
-    "description": "\nmodel info: NA\n\nSites: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU\n\nVariables: Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Water_temperature, Weekly Amblyomma_americanum_population, Weekly beetle_community_abundance, Weekly beetle_community_richness",
+    "description": "\nmodel info: NA\n\nSites: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU\n\nVariables: Daily latent_heat_flux, Daily Net_ecosystem_exchange, Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily Water_temperature, Weekly Amblyomma_americanum_population, Weekly beetle_community_abundance, Weekly beetle_community_richness",
     "start_datetime": "2023-01-01",
     "end_datetime": "2024-11-25",
     "providers": [
@@ -125,12 +125,12 @@
     "keywords": [
       "Forecasting",
       "neon4cast",
-      "Daily Net_ecosystem_exchange",
-      "Daily Dissolved_oxygen",
-      "Daily Red_chromatic_coordinate",
       "Daily latent_heat_flux",
+      "Daily Net_ecosystem_exchange",
       "Daily Chlorophyll_a",
       "Daily Green_chromatic_coordinate",
+      "Daily Dissolved_oxygen",
+      "Daily Red_chromatic_coordinate",
       "Daily Water_temperature",
       "Weekly Amblyomma_americanum_population",
       "Weekly beetle_community_abundance",
@@ -287,39 +287,39 @@
     },
     "3": {
       "type": "application/x-parquet",
-      "title": "Database Access for Daily Net_ecosystem_exchange",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+      "title": "Database Access for Daily latent_heat_flux",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
     "4": {
       "type": "application/x-parquet",
-      "title": "Database Access for Daily Dissolved_oxygen",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+      "title": "Database Access for Daily Net_ecosystem_exchange",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
     "5": {
       "type": "application/x-parquet",
-      "title": "Database Access for Daily Red_chromatic_coordinate",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+      "title": "Database Access for Daily Chlorophyll_a",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
     "6": {
       "type": "application/x-parquet",
-      "title": "Database Access for Daily latent_heat_flux",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+      "title": "Database Access for Daily Green_chromatic_coordinate",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
     "7": {
       "type": "application/x-parquet",
-      "title": "Database Access for Daily Chlorophyll_a",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+      "title": "Database Access for Daily Dissolved_oxygen",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
     "8": {
       "type": "application/x-parquet",
-      "title": "Database Access for Daily Green_chromatic_coordinate",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+      "title": "Database Access for Daily Red_chromatic_coordinate",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_tbats?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
     "9": {
       "type": "application/x-parquet",
diff --git a/catalog/scores/models/model_items/tg_temp_lm.json b/catalog/scores/models/model_items/tg_temp_lm.json
index 2398ad4194..5c0e6187bc 100644
--- a/catalog/scores/models/model_items/tg_temp_lm.json
+++ b/catalog/scores/models/model_items/tg_temp_lm.json
@@ -16,6 +16,35 @@
   "geometry": {
     "type": "MultiPoint",
     "coordinates": [
+      [-102.4471, 39.7582],
+      [-82.0084, 29.676],
+      [-119.2575, 37.0597],
+      [-110.5871, 44.9501],
+      [-96.6242, 34.4442],
+      [-87.7982, 32.5415],
+      [-147.504, 65.1532],
+      [-105.5442, 40.035],
+      [-89.4737, 46.2097],
+      [-66.9868, 18.1135],
+      [-84.4374, 31.1854],
+      [-66.7987, 18.1741],
+      [-72.3295, 42.4719],
+      [-96.6038, 39.1051],
+      [-83.5038, 35.6904],
+      [-77.9832, 39.0956],
+      [-89.7048, 45.9983],
+      [-121.9338, 45.7908],
+      [-87.4077, 32.9604],
+      [-96.443, 38.9459],
+      [-122.1655, 44.2596],
+      [-149.143, 68.6698],
+      [-78.1473, 38.8943],
+      [-97.7823, 33.3785],
+      [-99.1139, 47.1591],
+      [-99.2531, 47.1298],
+      [-111.7979, 40.7839],
+      [-82.0177, 29.6878],
+      [-111.5081, 33.751],
       [-122.3303, 45.7624],
       [-156.6194, 71.2824],
       [-71.2874, 44.0639],
@@ -48,35 +77,6 @@
       [-155.3173, 19.5531],
       [-105.546, 40.2759],
       [-78.1395, 38.8929],
-      [-102.4471, 39.7582],
-      [-82.0084, 29.676],
-      [-119.2575, 37.0597],
-      [-110.5871, 44.9501],
-      [-96.6242, 34.4442],
-      [-87.7982, 32.5415],
-      [-147.504, 65.1532],
-      [-105.5442, 40.035],
-      [-89.4737, 46.2097],
-      [-66.9868, 18.1135],
-      [-84.4374, 31.1854],
-      [-66.7987, 18.1741],
-      [-72.3295, 42.4719],
-      [-96.6038, 39.1051],
-      [-83.5038, 35.6904],
-      [-77.9832, 39.0956],
-      [-89.7048, 45.9983],
-      [-121.9338, 45.7908],
-      [-87.4077, 32.9604],
-      [-96.443, 38.9459],
-      [-122.1655, 44.2596],
-      [-149.143, 68.6698],
-      [-78.1473, 38.8943],
-      [-97.7823, 33.3785],
-      [-99.1139, 47.1591],
-      [-99.2531, 47.1298],
-      [-111.7979, 40.7839],
-      [-82.0177, 29.6878],
-      [-111.5081, 33.751],
       [-119.0274, 36.9559],
       [-88.1589, 31.8534],
       [-149.6106, 68.6307],
@@ -100,7 +100,7 @@
     ]
   },
   "properties": {
-    "description": "\nmodel info: NA\n\nSites: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL\n\nVariables: Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Daily Water_temperature, Daily Chlorophyll_a, Daily latent_heat_flux, Daily Net_ecosystem_exchange, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population",
+    "description": "\nmodel info: NA\n\nSites: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, TECR, TOMB, TOOK, WALK, WLOU, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL\n\nVariables: Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, Daily Red_chromatic_coordinate, Daily Water_temperature, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Daily latent_heat_flux, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population",
     "start_datetime": "2023-11-14",
     "end_datetime": "2024-01-09",
     "providers": [
@@ -125,13 +125,13 @@
     "keywords": [
       "Forecasting",
       "neon4cast",
-      "Daily Green_chromatic_coordinate",
       "Daily Dissolved_oxygen",
+      "Daily Green_chromatic_coordinate",
       "Daily Red_chromatic_coordinate",
       "Daily Water_temperature",
       "Daily Chlorophyll_a",
-      "Daily latent_heat_flux",
       "Daily Net_ecosystem_exchange",
+      "Daily latent_heat_flux",
       "Weekly beetle_community_abundance",
       "Weekly beetle_community_richness",
       "Weekly Amblyomma_americanum_population"
@@ -286,17 +286,17 @@
       "description": "The link to the model code provided by the model submission team"
     },
     "3": {
-      "type": "application/x-parquet",
-      "title": "Database Access for Daily Green_chromatic_coordinate",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
-    },
-    "4": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Dissolved_oxygen",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
+    "4": {
+      "type": "application/x-parquet",
+      "title": "Database Access for Daily Green_chromatic_coordinate",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=gcc_90/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+    },
     "5": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Red_chromatic_coordinate",
@@ -316,17 +316,17 @@
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=chla/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
     "8": {
-      "type": "application/x-parquet",
-      "title": "Database Access for Daily latent_heat_flux",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
-    },
-    "9": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Net_ecosystem_exchange",
       "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org",
       "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=nee/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
+    "9": {
+      "type": "application/x-parquet",
+      "title": "Database Access for Daily latent_heat_flux",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=le/model_id=tg_temp_lm?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+    },
     "10": {
       "type": "application/x-parquet",
       "title": "Database Access for Weekly beetle_community_abundance",
diff --git a/catalog/scores/models/model_items/tg_temp_lm_all_sites.json b/catalog/scores/models/model_items/tg_temp_lm_all_sites.json
index ab8fc5ef22..174e5c29b0 100644
--- a/catalog/scores/models/model_items/tg_temp_lm_all_sites.json
+++ b/catalog/scores/models/model_items/tg_temp_lm_all_sites.json
@@ -16,6 +16,40 @@
   "geometry": {
     "type": "MultiPoint",
     "coordinates": [
+      [-149.6106, 68.6307],
+      [-84.2793, 35.9574],
+      [-105.9154, 39.8914],
+      [-102.4471, 39.7582],
+      [-82.0084, 29.676],
+      [-119.2575, 37.0597],
+      [-110.5871, 44.9501],
+      [-96.6242, 34.4442],
+      [-87.7982, 32.5415],
+      [-147.504, 65.1532],
+      [-105.5442, 40.035],
+      [-89.4737, 46.2097],
+      [-66.9868, 18.1135],
+      [-84.4374, 31.1854],
+      [-66.7987, 18.1741],
+      [-72.3295, 42.4719],
+      [-96.6038, 39.1051],
+      [-83.5038, 35.6904],
+      [-77.9832, 39.0956],
+      [-89.7048, 45.9983],
+      [-121.9338, 45.7908],
+      [-87.4077, 32.9604],
+      [-96.443, 38.9459],
+      [-122.1655, 44.2596],
+      [-149.143, 68.6698],
+      [-78.1473, 38.8943],
+      [-97.7823, 33.3785],
+      [-99.1139, 47.1591],
+      [-99.2531, 47.1298],
+      [-111.7979, 40.7839],
+      [-82.0177, 29.6878],
+      [-111.5081, 33.751],
+      [-119.0274, 36.9559],
+      [-88.1589, 31.8534],
       [-122.3303, 45.7624],
       [-156.6194, 71.2824],
       [-71.2874, 44.0639],
@@ -62,45 +96,11 @@
       [-89.5373, 46.2339],
       [-99.2413, 47.1282],
       [-121.9519, 45.8205],
-      [-110.5391, 44.9535],
-      [-82.0084, 29.676],
-      [-87.7982, 32.5415],
-      [-89.4737, 46.2097],
-      [-84.4374, 31.1854],
-      [-89.7048, 45.9983],
-      [-99.1139, 47.1591],
-      [-99.2531, 47.1298],
-      [-82.0177, 29.6878],
-      [-88.1589, 31.8534],
-      [-149.6106, 68.6307],
-      [-84.2793, 35.9574],
-      [-105.9154, 39.8914],
-      [-102.4471, 39.7582],
-      [-119.2575, 37.0597],
-      [-110.5871, 44.9501],
-      [-96.6242, 34.4442],
-      [-147.504, 65.1532],
-      [-105.5442, 40.035],
-      [-66.9868, 18.1135],
-      [-66.7987, 18.1741],
-      [-72.3295, 42.4719],
-      [-96.6038, 39.1051],
-      [-83.5038, 35.6904],
-      [-77.9832, 39.0956],
-      [-121.9338, 45.7908],
-      [-87.4077, 32.9604],
-      [-96.443, 38.9459],
-      [-122.1655, 44.2596],
-      [-149.143, 68.6698],
-      [-78.1473, 38.8943],
-      [-97.7823, 33.3785],
-      [-111.7979, 40.7839],
-      [-111.5081, 33.751],
-      [-119.0274, 36.9559]
+      [-110.5391, 44.9535]
     ]
   },
   "properties": {
-    "description": "\nmodel info: NA\n\nSites: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR\n\nVariables: Daily Red_chromatic_coordinate, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Dissolved_oxygen, Daily Net_ecosystem_exchange, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population",
+    "description": "\nmodel info: NA\n\nSites: TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL\n\nVariables: Daily Dissolved_oxygen, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Chlorophyll_a, Daily Red_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Water_temperature, Weekly beetle_community_abundance, Weekly beetle_community_richness, Weekly Amblyomma_americanum_population",
     "start_datetime": "2023-11-14",
     "end_datetime": "2024-01-09",
     "providers": [
@@ -125,11 +125,11 @@
     "keywords": [
       "Forecasting",
       "neon4cast",
-      "Daily Red_chromatic_coordinate",
+      "Daily Dissolved_oxygen",
       "Daily Green_chromatic_coordinate",
       "Daily latent_heat_flux",
       "Daily Chlorophyll_a",
-      "Daily Dissolved_oxygen",
+      "Daily Red_chromatic_coordinate",
       "Daily Net_ecosystem_exchange",
       "Daily Water_temperature",
       "Weekly beetle_community_abundance",
@@ -287,9 +287,9 @@
     },
     "3": {
       "type": "application/x-parquet",
-      "title": "Database Access for Daily Red_chromatic_coordinate",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+      "title": "Database Access for Daily Dissolved_oxygen",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
     "4": {
       "type": "application/x-parquet",
@@ -311,9 +311,9 @@
     },
     "7": {
       "type": "application/x-parquet",
-      "title": "Database Access for Daily Dissolved_oxygen",
-      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org",
-      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=oxygen/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
+      "title": "Database Access for Daily Red_chromatic_coordinate",
+      "href": "s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org",
+      "description": "Use `arrow` for remote access to the database. This R code will return results for this variable and model combination.\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(s3://anonymous@bio230014-bucket01/challenges/scores/parquet/duration=P1D/variable=rcc_90/model_id=tg_temp_lm_all_sites?endpoint_override=sdsc.osn.xsede.org)\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     },
     "8": {
       "type": "application/x-parquet",