diff --git a/catalog/forecasts/Aquatics/Daily_Chlorophyll_a/collection.json b/catalog/forecasts/Aquatics/Daily_Chlorophyll_a/collection.json index 3f9ef00f73..2dbf9f93a1 100644 --- a/catalog/forecasts/Aquatics/Daily_Chlorophyll_a/collection.json +++ b/catalog/forecasts/Aquatics/Daily_Chlorophyll_a/collection.json @@ -13,127 +13,127 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm.json" + "href": "../../models/model_items/USGSHABs1.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_humidity_lm_all_sites.json" + "href": "../../models/model_items/cb_prophet.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso.json" + "href": "../../models/model_items/climatology.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso_all_sites.json" + "href": "../../models/model_items/persistenceRW.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm.json" + "href": "../../models/model_items/procBlanchardMonod.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm_all_sites.json" + "href": "../../models/model_items/procBlanchardSteele.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor.json" + "href": "../../models/model_items/procCTMIMonod.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_tbats.json" + "href": "../../models/model_items/procCTMISteele.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm.json" + "href": "../../models/model_items/procEppleyNorbergMonod.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm_all_sites.json" + "href": "../../models/model_items/procEppleyNorbergSteele.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/USGSHABs1.json" + "href": "../../models/model_items/procHinshelwoodMonod.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/cb_prophet.json" + "href": "../../models/model_items/procHinshelwoodSteele.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/climatology.json" + "href": "../../models/model_items/tg_arima.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/persistenceRW.json" + "href": "../../models/model_items/tg_bag_mlp.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procBlanchardMonod.json" + "href": "../../models/model_items/tg_ets.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procBlanchardSteele.json" + "href": "../../models/model_items/tg_humidity_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procCTMIMonod.json" + "href": "../../models/model_items/tg_humidity_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procCTMISteele.json" + "href": "../../models/model_items/tg_lasso.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procEppleyNorbergMonod.json" + "href": "../../models/model_items/tg_lasso_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procEppleyNorbergSteele.json" + "href": "../../models/model_items/tg_precip_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procHinshelwoodMonod.json" + "href": "../../models/model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/procHinshelwoodSteele.json" + "href": "../../models/model_items/tg_randfor.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_arima.json" + "href": "../../models/model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_bag_mlp.json" + "href": "../../models/model_items/tg_temp_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_ets.json" + "href": "../../models/model_items/tg_temp_lm_all_sites.json" }, { "rel": "item", @@ -176,14 +176,14 @@ "extent": { "spatial": { "bbox": [ - [-82.0177, 29.6878, -82.0177, 29.6878] + [-84.4374, 29.6878, -82.0177, 31.1854] ] }, "temporal": { "interval": [ [ "2023-01-01T00:00:00Z", - "2024-03-29T00:00:00Z" + "2024-03-30T00:00:00Z" ] ] } diff --git a/catalog/forecasts/Aquatics/Daily_Dissolved_oxygen/collection.json b/catalog/forecasts/Aquatics/Daily_Dissolved_oxygen/collection.json index d833704857..54fddaa06a 100644 --- a/catalog/forecasts/Aquatics/Daily_Dissolved_oxygen/collection.json +++ b/catalog/forecasts/Aquatics/Daily_Dissolved_oxygen/collection.json @@ -43,47 +43,47 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso.json" + "href": "../../models/model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_lasso_all_sites.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_temp_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm_all_sites.json" + "href": "../../models/model_items/tg_lasso.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor.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_precip_lm.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_tbats.json" + "href": "../../models/model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm.json" + "href": "../../models/model_items/tg_randfor.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_temp_lm_all_sites.json" + "href": "../../models/model_items/tg_randfor_all_sites.json" }, { "rel": "item", diff --git a/catalog/forecasts/Aquatics/Daily_Water_temperature/collection.json b/catalog/forecasts/Aquatics/Daily_Water_temperature/collection.json index 8e133075f2..f400038b56 100644 --- a/catalog/forecasts/Aquatics/Daily_Water_temperature/collection.json +++ b/catalog/forecasts/Aquatics/Daily_Water_temperature/collection.json @@ -213,77 +213,77 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_BK.json" + "href": "../../models/model_items/example_BKandel.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_ID_VickeryFirstForecast.json" + "href": "../../models/model_items/example_BK.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_RW.json" + "href": "../../models/model_items/example_ACP_sp24.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_climatology.json" + "href": "../../models/model_items/example_ID_airtempANDprecipadjusted.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_BKandel.json" + "href": "../../models/model_items/mkricheldorf_example.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_faasr.json" + "href": "../../models/model_items/example_Kandel.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_ACP_sp24.json" + "href": "../../models/model_items/example_Kandel1.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_ID_airtempANDprecipadjusted.json" + "href": "../../models/model_items/example_climatology.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/mkricheldorf_example.json" + "href": "../../models/model_items/example_faasr.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_Kandel.json" + "href": "../../models/model_items/example_ID_VickeryFirstForecast.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_Kandel1.json" + "href": "../../models/model_items/example_RW.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_ID_VickeryFirstForecast_wUC.json" + "href": "../../models/model_items/sujan_ID.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_mkricheldorf_w_uncertainty.json" + "href": "../../models/model_items/example_ID_airtempANDprecipadjusted_wuncertainty.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/sujan_ID.json" + "href": "../../models/model_items/example_mkricheldorf_w_uncertainty.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/example_ID_airtempANDprecipadjusted_wuncertainty.json" + "href": "../../models/model_items/example_ID_VickeryFirstForecast_wUC.json" }, { "rel": "parent", diff --git a/catalog/forecasts/Phenology/Daily_Green_chromatic_coordinate/collection.json b/catalog/forecasts/Phenology/Daily_Green_chromatic_coordinate/collection.json index 5364e87459..7d028b8b33 100644 --- a/catalog/forecasts/Phenology/Daily_Green_chromatic_coordinate/collection.json +++ b/catalog/forecasts/Phenology/Daily_Green_chromatic_coordinate/collection.json @@ -143,7 +143,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", - "2024-03-29T00:00:00Z" + "2024-03-30T00:00:00Z" ] ] } diff --git a/catalog/forecasts/Phenology/Daily_Red_chromatic_coordinate/collection.json b/catalog/forecasts/Phenology/Daily_Red_chromatic_coordinate/collection.json index 2359247a83..ffaf0ccea0 100644 --- a/catalog/forecasts/Phenology/Daily_Red_chromatic_coordinate/collection.json +++ b/catalog/forecasts/Phenology/Daily_Red_chromatic_coordinate/collection.json @@ -158,7 +158,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", - "2024-03-29T00:00:00Z" + "2024-03-30T00:00:00Z" ] ] } diff --git a/catalog/forecasts/Terrestrial/30min_latent_heat_flux/collection.json b/catalog/forecasts/Terrestrial/30min_latent_heat_flux/collection.json index d262296e0a..c303f3a3ba 100644 --- a/catalog/forecasts/Terrestrial/30min_latent_heat_flux/collection.json +++ b/catalog/forecasts/Terrestrial/30min_latent_heat_flux/collection.json @@ -51,7 +51,7 @@ "extent": { "spatial": { "bbox": [ - [-106.8425, 31.1948, -84.4686, 32.5907] + ["Inf", "Inf", "-Inf", "-Inf"] ] }, "temporal": { diff --git a/catalog/forecasts/Terrestrial/Daily_Net_ecosystem_exchange/collection.json b/catalog/forecasts/Terrestrial/Daily_Net_ecosystem_exchange/collection.json index 33bee1c212..1fbff4b66d 100644 --- a/catalog/forecasts/Terrestrial/Daily_Net_ecosystem_exchange/collection.json +++ b/catalog/forecasts/Terrestrial/Daily_Net_ecosystem_exchange/collection.json @@ -143,7 +143,7 @@ "interval": [ [ "2023-01-01T00:00:00Z", - "2024-03-30T00:00:00Z" + "2024-03-31T00:00:00Z" ] ] } diff --git a/catalog/forecasts/Terrestrial/Daily_latent_heat_flux/collection.json b/catalog/forecasts/Terrestrial/Daily_latent_heat_flux/collection.json index a901f5e30b..d3adb3266d 100644 --- a/catalog/forecasts/Terrestrial/Daily_latent_heat_flux/collection.json +++ b/catalog/forecasts/Terrestrial/Daily_latent_heat_flux/collection.json @@ -18,32 +18,32 @@ { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_auto_adam.json" + "href": "../../models/model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_bag_mlp.json" + "href": "../../models/model_items/tg_randfor.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_ets.json" + "href": "../../models/model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_precip_lm_all_sites.json" + "href": "../../models/model_items/tg_auto_adam.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_randfor.json" + "href": "../../models/model_items/tg_bag_mlp.json" }, { "rel": "item", "type": "application/json", - "href": "../../models/model_items/tg_tbats.json" + "href": "../../models/model_items/tg_ets.json" }, { "rel": "item", @@ -126,14 +126,14 @@ "extent": { "spatial": { "bbox": [ - [-106.8425, 31.1948, -84.4686, 32.5907] + ["Inf", "Inf", "-Inf", "-Inf"] ] }, "temporal": { "interval": [ [ "2023-01-01T00:00:00Z", - "2024-03-30T00:00:00Z" + "2024-03-31T00:00:00Z" ] ] } diff --git a/catalog/forecasts/Terrestrial/collection.json b/catalog/forecasts/Terrestrial/collection.json index b351c89b30..958464554a 100644 --- a/catalog/forecasts/Terrestrial/collection.json +++ b/catalog/forecasts/Terrestrial/collection.json @@ -66,7 +66,7 @@ "extent": { "spatial": { "bbox": [ - [-106.8425, 31.1948, -84.4686, 32.5907] + ["Inf", "Inf", "-Inf", "-Inf"] ] }, "temporal": { diff --git a/catalog/forecasts/models/collection.json b/catalog/forecasts/models/collection.json index cd37bce2f6..b3935b1b7b 100644 --- a/catalog/forecasts/models/collection.json +++ b/catalog/forecasts/models/collection.json @@ -13,127 +13,127 @@ { "rel": "item", "type": "application/json", - "href": "model_items/tg_humidity_lm.json" + "href": "model_items/USGSHABs1.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_humidity_lm_all_sites.json" + "href": "model_items/cb_prophet.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_lasso.json" + "href": "model_items/climatology.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_lasso_all_sites.json" + "href": "model_items/persistenceRW.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_precip_lm.json" + "href": "model_items/procBlanchardMonod.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_precip_lm_all_sites.json" + "href": "model_items/procBlanchardSteele.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_randfor.json" + "href": "model_items/procCTMIMonod.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_tbats.json" + "href": "model_items/procCTMISteele.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_temp_lm.json" + "href": "model_items/procEppleyNorbergMonod.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_temp_lm_all_sites.json" + "href": "model_items/procEppleyNorbergSteele.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/cb_prophet.json" + "href": "model_items/procHinshelwoodMonod.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/climatology.json" + "href": "model_items/procHinshelwoodSteele.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/persistenceRW.json" + "href": "model_items/tg_arima.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_arima.json" + "href": "model_items/tg_bag_mlp.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/USGSHABs1.json" + "href": "model_items/tg_ets.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procBlanchardMonod.json" + "href": "model_items/tg_humidity_lm.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procBlanchardSteele.json" + "href": "model_items/tg_humidity_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procCTMIMonod.json" + "href": "model_items/tg_lasso.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procCTMISteele.json" + "href": "model_items/tg_lasso_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procEppleyNorbergMonod.json" + "href": "model_items/tg_precip_lm.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procEppleyNorbergSteele.json" + "href": "model_items/tg_precip_lm_all_sites.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procHinshelwoodMonod.json" + "href": "model_items/tg_randfor.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/procHinshelwoodSteele.json" + "href": "model_items/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_bag_mlp.json" + "href": "model_items/tg_temp_lm.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/tg_ets.json" + "href": "model_items/tg_temp_lm_all_sites.json" }, { "rel": "item", @@ -293,92 +293,92 @@ { "rel": "item", "type": "application/json", - "href": "model_items/example_BK.json" + "href": "model_items/example_BKandel.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_ID_VickeryFirstForecast.json" + "href": "model_items/example_WP_SP24.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_RW.json" + "href": "model_items/example_BK.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_climatology.json" + "href": "model_items/example_ACP_sp24.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_BKandel.json" + "href": "model_items/example_ID_airtempANDprecipadjusted.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_WP_SP24.json" + "href": "model_items/mkricheldorf_example.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_faasr.json" + "href": "model_items/example_Kandel.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_ACP_sp24.json" + "href": "model_items/example_Kandel1.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_ID_airtempANDprecipadjusted.json" + "href": "model_items/example_climatology.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/mkricheldorf_example.json" + "href": "model_items/example_faasr.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_Kandel.json" + "href": "model_items/example_ID_VickeryFirstForecast.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_Kandel1.json" + "href": "model_items/example_RW.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_ID_VickeryFirstForecast_wUC.json" + "href": "model_items/sujan_ID.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_mkricheldorf_w_uncertainty.json" + "href": "model_items/example_WP_SP24_Uncertainty.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/sujan_ID.json" + "href": "model_items/example_ID_airtempANDprecipadjusted_wuncertainty.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_WP_SP24_Uncertainty.json" + "href": "model_items/example_mkricheldorf_w_uncertainty.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/bet_lm_temp2m_mod_temp.json" + "href": "model_items/example_ID_VickeryFirstForecast_wUC.json" }, { "rel": "item", "type": "application/json", - "href": "model_items/example_ID_airtempANDprecipadjusted_wuncertainty.json" + "href": "model_items/bet_lm_temp2m_mod_temp.json" }, { "rel": "parent", diff --git a/catalog/forecasts/models/model_items/baseline_ensemble.json b/catalog/forecasts/models/model_items/baseline_ensemble.json index e83ad431ed..5c4282e98a 100644 --- a/catalog/forecasts/models/model_items/baseline_ensemble.json +++ b/catalog/forecasts/models/model_items/baseline_ensemble.json @@ -94,7 +94,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: ABBY, BART, BLAN, CLBJ, CPER, DCFS, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, HARV, JERC, JORN, KONA, KONZ, LAJA, LENO, SERC, SJER, SOAP, SRER, STEI, UNDE, WOOD, WREF, YELL, STER, TALL, TEAK, TREE, UKFS, DELA, DSNY, GRSM, GUAN, MLBS, MOAB, NIWO, NOGP, BLWA, COMO, CUPE, FLNT, GUIL, HOPB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, ARIK, BARC, BIGC, BLDE, BLUE, BONA, DEJU, HEAL, TOOL\n\nVariables: Daily Red_chromatic_coordinate, Daily Water_temperature", "start_datetime": "2023-11-14", - "end_datetime": "2024-03-23", + "end_datetime": "2024-03-24", "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/bookcast_forest.json b/catalog/forecasts/models/model_items/bookcast_forest.json index 885b147ac8..a015ed286e 100644 --- a/catalog/forecasts/models/model_items/bookcast_forest.json +++ b/catalog/forecasts/models/model_items/bookcast_forest.json @@ -23,7 +23,7 @@ "properties": { "description": "\nmodel info: A simple daily timestep process-based model of a terrestrial carbon cycle. It includes leaves, wood, and soil pools. It uses a light-use efficiency GPP model to convert PAR to carbon. The model is derived from https://github.com/mdietze/FluxCourseForecast.\n\nSites: TALL, OSBS\n\nVariables: Daily Net_ecosystem_exchange", "start_datetime": "2024-01-10", - "end_datetime": "2024-03-23", + "end_datetime": "2024-03-24", "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/cb_prophet.json b/catalog/forecasts/models/model_items/cb_prophet.json index fc439f2b37..436d17c32b 100644 --- a/catalog/forecasts/models/model_items/cb_prophet.json +++ b/catalog/forecasts/models/model_items/cb_prophet.json @@ -16,6 +16,15 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-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], [-76.56, 38.8901], [-119.7323, 37.1088], [-119.2622, 37.0334], @@ -63,15 +72,6 @@ [-155.3173, 19.5531], [-105.546, 40.2759], [-78.1395, 38.8929], - [-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], [-96.6242, 34.4442], [-147.504, 65.1532], [-105.5442, 40.035], @@ -98,7 +98,7 @@ ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: 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, SCBI, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, ARIK, BIGC, BLDE\n\nVariables: Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Daily latent_heat_flux, Daily Dissolved_oxygen, Daily Water_temperature, Daily Red_chromatic_coordinate", + "description": "\nmodel info: NA\n\nSites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, 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, SCBI, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, ARIK, BIGC, BLDE\n\nVariables: Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily latent_heat_flux, Daily Dissolved_oxygen, Daily Water_temperature, Daily Red_chromatic_coordinate", "start_datetime": "2023-11-14", "end_datetime": "2024-03-10", "providers": [ @@ -123,8 +123,8 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily Green_chromatic_coordinate", "Daily Chlorophyll_a", + "Daily Green_chromatic_coordinate", "Daily Net_ecosystem_exchange", "Daily latent_heat_flux", "Daily Dissolved_oxygen", @@ -246,17 +246,17 @@ "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@project_id=neon4cast/duration=P1D/variable=gcc_90/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@project_id=neon4cast/duration=P1D/variable=gcc_90/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 Chlorophyll_a", "href": "s3://anonymous@project_id=neon4cast/duration=P1D/variable=chla/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@project_id=neon4cast/duration=P1D/variable=chla/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 Green_chromatic_coordinate", + "href": "s3://anonymous@project_id=neon4cast/duration=P1D/variable=gcc_90/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@project_id=neon4cast/duration=P1D/variable=gcc_90/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 Net_ecosystem_exchange", diff --git a/catalog/forecasts/models/model_items/climatology.json b/catalog/forecasts/models/model_items/climatology.json index 023e779f99..120b9bec6e 100644 --- a/catalog/forecasts/models/model_items/climatology.json +++ b/catalog/forecasts/models/model_items/climatology.json @@ -16,6 +16,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-82.0084, 29.676], + [-87.7982, 32.5415], + [-84.4374, 31.1854], + [-82.0177, 29.6878], + [-88.1589, 31.8534], + [-89.4737, 46.2097], + [-89.7048, 45.9983], + [-99.2531, 47.1298], + [-99.1139, 47.1591], + [-149.6106, 68.6307], [-122.3303, 45.7624], [-71.2874, 44.0639], [-78.0418, 39.0337], @@ -59,16 +69,6 @@ [-121.9519, 45.8205], [-110.5391, 44.9535], [-147.5026, 65.154], - [-82.0084, 29.676], - [-87.7982, 32.5415], - [-84.4374, 31.1854], - [-82.0177, 29.6878], - [-88.1589, 31.8534], - [-89.4737, 46.2097], - [-89.7048, 45.9983], - [-99.2531, 47.1298], - [-99.1139, 47.1591], - [-149.6106, 68.6307], [-156.6194, 71.2824], [-145.7514, 63.8811], [-149.2133, 63.8758], @@ -109,9 +109,9 @@ ] }, "properties": { - "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, BONA, BARC, BLWA, FLNT, SUGG, TOMB, CRAM, LIRO, PRPO, PRLA, TOOK, BARR, DEJU, HEAL, TOOL, ARIK, BIGC, BLDE, BLUE, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, CARI, OKSR, USGS-01427510, USGS-01463500, USGS-05543010, USGS-05553700, USGS-05558300, USGS-05586300, USGS-14181500, USGS-14211010, USGS-14211720\n\nVariables: Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, 30min Net_ecosystem_exchange, Daily latent_heat_flux, 30min latent_heat_flux, Daily Dissolved_oxygen, Daily Water_temperature, Daily Red_chromatic_coordinate", "\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, BONA, BARC, BLWA, FLNT, SUGG, TOMB, CRAM, LIRO, PRPO, PRLA, TOOK, BARR, DEJU, HEAL, TOOL, ARIK, BIGC, BLDE, BLUE, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, CARI, OKSR, USGS-01427510, USGS-01463500, USGS-05543010, USGS-05553700, USGS-05558300, USGS-05586300, USGS-14181500, USGS-14211010, USGS-14211720\n\nVariables: Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, 30min Net_ecosystem_exchange, Daily latent_heat_flux, 30min latent_heat_flux, Daily Dissolved_oxygen, Daily Water_temperature, Daily Red_chromatic_coordinate"], + "description": ["\nmodel info: Historical DOY mean and sd. Assumes normal distribution\n\n\nSites: BARC, BLWA, FLNT, SUGG, TOMB, CRAM, LIRO, PRPO, PRLA, TOOK, 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, BONA, BARR, DEJU, HEAL, TOOL, ARIK, BIGC, BLDE, BLUE, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, CARI, OKSR, USGS-01427510, USGS-01463500, USGS-05543010, USGS-05553700, USGS-05558300, USGS-05586300, USGS-14181500, USGS-14211010, USGS-14211720\n\nVariables: Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, 30min Net_ecosystem_exchange, Daily latent_heat_flux, 30min latent_heat_flux, Daily Dissolved_oxygen, Daily Water_temperature, Daily Red_chromatic_coordinate", "\nmodel info: NA\n\nSites: BARC, BLWA, FLNT, SUGG, TOMB, CRAM, LIRO, PRPO, PRLA, TOOK, 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, BONA, BARR, DEJU, HEAL, TOOL, ARIK, BIGC, BLDE, BLUE, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART, MAYF, MCDI, MCRA, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, CARI, OKSR, USGS-01427510, USGS-01463500, USGS-05543010, USGS-05553700, USGS-05558300, USGS-05586300, USGS-14181500, USGS-14211010, USGS-14211720\n\nVariables: Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, 30min Net_ecosystem_exchange, Daily latent_heat_flux, 30min latent_heat_flux, Daily Dissolved_oxygen, Daily Water_temperature, Daily Red_chromatic_coordinate"], "start_datetime": "2023-01-02", - "end_datetime": "2024-03-30", + "end_datetime": "2024-03-31", "providers": [ { "url": "pending", @@ -134,8 +134,8 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily Green_chromatic_coordinate", "Daily Chlorophyll_a", + "Daily Green_chromatic_coordinate", "Daily Net_ecosystem_exchange", "30min Net_ecosystem_exchange", "Daily latent_heat_flux", @@ -259,17 +259,17 @@ "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@project_id=neon4cast/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@project_id=neon4cast/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 Chlorophyll_a", "href": "s3://anonymous@project_id=neon4cast/duration=P1D/variable=chla/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@project_id=neon4cast/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" }, + "4": { + "type": "application/x-parquet", + "title": "Database Access for Daily Green_chromatic_coordinate", + "href": "s3://anonymous@project_id=neon4cast/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@project_id=neon4cast/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" + }, "5": { "type": "application/x-parquet", "title": "Database Access for Daily Net_ecosystem_exchange", diff --git a/catalog/forecasts/models/model_items/example_ID_airtempANDprecipadjusted_wuncertainty.json b/catalog/forecasts/models/model_items/example_ID_airtempANDprecipadjusted_wuncertainty.json index c94eabb154..5ff6f0a185 100644 --- a/catalog/forecasts/models/model_items/example_ID_airtempANDprecipadjusted_wuncertainty.json +++ b/catalog/forecasts/models/model_items/example_ID_airtempANDprecipadjusted_wuncertainty.json @@ -28,7 +28,7 @@ "properties": { "description": [], "start_datetime": "2024-02-14", - "end_datetime": "2024-03-24", + "end_datetime": "2024-03-25", "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/example_WP_SP24_Uncertainty.json b/catalog/forecasts/models/model_items/example_WP_SP24_Uncertainty.json index df08ec73dc..35cb74d2b6 100644 --- a/catalog/forecasts/models/model_items/example_WP_SP24_Uncertainty.json +++ b/catalog/forecasts/models/model_items/example_WP_SP24_Uncertainty.json @@ -28,7 +28,7 @@ "properties": { "description": [], "start_datetime": "2024-02-13", - "end_datetime": "2024-03-24", + "end_datetime": "2024-03-25", "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/example_mkricheldorf_w_uncertainty.json b/catalog/forecasts/models/model_items/example_mkricheldorf_w_uncertainty.json index 82f2864148..c08d258db5 100644 --- a/catalog/forecasts/models/model_items/example_mkricheldorf_w_uncertainty.json +++ b/catalog/forecasts/models/model_items/example_mkricheldorf_w_uncertainty.json @@ -28,7 +28,7 @@ "properties": { "description": [], "start_datetime": "2024-02-08", - "end_datetime": "2024-03-24", + "end_datetime": "2024-03-25", "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/fARIMA.json b/catalog/forecasts/models/model_items/fARIMA.json index 1102d9cb9f..847bd49e43 100644 --- a/catalog/forecasts/models/model_items/fARIMA.json +++ b/catalog/forecasts/models/model_items/fARIMA.json @@ -55,7 +55,7 @@ "properties": { "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, TECR, TOMB, TOOK, WALK, WLOU\n\nVariables: Daily Water_temperature", "start_datetime": "2023-01-08", - "end_datetime": "2024-03-28", + "end_datetime": "2024-03-29", "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/fARIMA_clim_ensemble.json b/catalog/forecasts/models/model_items/fARIMA_clim_ensemble.json index e629db3169..879ff9a26a 100644 --- a/catalog/forecasts/models/model_items/fARIMA_clim_ensemble.json +++ b/catalog/forecasts/models/model_items/fARIMA_clim_ensemble.json @@ -49,7 +49,7 @@ "properties": { "description": "\nmodel info: NA\n\nSites: LECO, LEWI, MART, MAYF, MCDI, MCRA, COMO, CUPE, GUIL, HOPB, KING, ARIK, BARC, BLUE, BLWA, WALK, WLOU, POSE, PRIN, REDB, SUGG, TECR, TOMB, BIGC, BLDE, CRAM, FLNT, SYCA\n\nVariables: Daily Water_temperature", "start_datetime": "2023-11-10", - "end_datetime": "2024-03-23", + "end_datetime": "2024-03-24", "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/fTSLM_lag.json b/catalog/forecasts/models/model_items/fTSLM_lag.json index f8e6e1c39f..45731b5b19 100644 --- a/catalog/forecasts/models/model_items/fTSLM_lag.json +++ b/catalog/forecasts/models/model_items/fTSLM_lag.json @@ -55,7 +55,7 @@ "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", "start_datetime": "2023-01-08", - "end_datetime": "2024-03-28", + "end_datetime": "2024-03-29", "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/null.json b/catalog/forecasts/models/model_items/null.json index 37e90bf3db..c2b0f02ad9 100644 --- a/catalog/forecasts/models/model_items/null.json +++ b/catalog/forecasts/models/model_items/null.json @@ -27,6 +27,16 @@ [-89.4737, 46.2097], [-66.9868, 18.1135], [-84.4374, 31.1854], + [-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], [-66.7987, 18.1741], [-72.3295, 42.4719], [-96.6038, 39.1051], @@ -39,17 +49,7 @@ [-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] + [-97.7823, 33.3785] ] }, "properties": { diff --git a/catalog/forecasts/models/model_items/persistenceRW.json b/catalog/forecasts/models/model_items/persistenceRW.json index cf05371192..9f01392a5b 100644 --- a/catalog/forecasts/models/model_items/persistenceRW.json +++ b/catalog/forecasts/models/model_items/persistenceRW.json @@ -16,6 +16,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-89.7048, 45.9983], + [-99.1139, 47.1591], + [-99.2531, 47.1298], + [-82.0177, 29.6878], + [-88.1589, 31.8534], + [-149.6106, 68.6307], + [-82.0084, 29.676], + [-87.7982, 32.5415], + [-89.4737, 46.2097], + [-84.4374, 31.1854], [-87.8039, 32.5417], [-81.4362, 28.1251], [-83.5019, 35.689], @@ -63,16 +73,6 @@ [-106.8425, 32.5907], [-96.6129, 39.1104], [-96.5631, 39.1008], - [-89.7048, 45.9983], - [-99.1139, 47.1591], - [-99.2531, 47.1298], - [-82.0177, 29.6878], - [-88.1589, 31.8534], - [-149.6106, 68.6307], - [-82.0084, 29.676], - [-87.7982, 32.5415], - [-89.4737, 46.2097], - [-84.4374, 31.1854], [-96.6038, 39.1051], [-83.5038, 35.6904], [-77.9832, 39.0956], @@ -100,9 +100,9 @@ ] }, "properties": { - "description": ["\nmodel info: Random walk from the fable package with ensembles used to represent uncertainty\n\nSites: DELA, DSNY, GRSM, GUAN, HARV, HEAL, BONA, CLBJ, CPER, DCFS, DEJU, SJER, SOAP, SRER, STEI, STER, TALL, NOGP, OAES, ONAQ, ORNL, OSBS, TEAK, TOOL, TREE, UKFS, UNDE, LAJA, LENO, MLBS, MOAB, NIWO, PUUM, RMNP, SCBI, SERC, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, JERC, JORN, KONA, KONZ, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, BARC, BLWA, CRAM, FLNT, KING, LECO, LEWI, MART, MAYF, ARIK, BIGC, BLDE, BLUE, MCDI, MCRA, OKSR, POSE, PRIN, WLOU, CUPE, GUIL, HOPB, REDB, SYCA, CARI, COMO, TECR, WALK\n\nVariables: Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Daily Water_temperature, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate", "\nmodel info: NA\n\nSites: DELA, DSNY, GRSM, GUAN, HARV, HEAL, BONA, CLBJ, CPER, DCFS, DEJU, SJER, SOAP, SRER, STEI, STER, TALL, NOGP, OAES, ONAQ, ORNL, OSBS, TEAK, TOOL, TREE, UKFS, UNDE, LAJA, LENO, MLBS, MOAB, NIWO, PUUM, RMNP, SCBI, SERC, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, JERC, JORN, KONA, KONZ, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, BARC, BLWA, CRAM, FLNT, KING, LECO, LEWI, MART, MAYF, ARIK, BIGC, BLDE, BLUE, MCDI, MCRA, OKSR, POSE, PRIN, WLOU, CUPE, GUIL, HOPB, REDB, SYCA, CARI, COMO, TECR, WALK\n\nVariables: Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily Net_ecosystem_exchange, Daily Water_temperature, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate"], + "description": ["\nmodel info: Random walk from the fable package with ensembles used to represent uncertainty\n\nSites: LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, BARC, BLWA, CRAM, FLNT, DELA, DSNY, GRSM, GUAN, HARV, HEAL, BONA, CLBJ, CPER, DCFS, DEJU, SJER, SOAP, SRER, STEI, STER, TALL, NOGP, OAES, ONAQ, ORNL, OSBS, TEAK, TOOL, TREE, UKFS, UNDE, LAJA, LENO, MLBS, MOAB, NIWO, PUUM, RMNP, SCBI, SERC, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, JERC, JORN, KONA, KONZ, KING, LECO, LEWI, MART, MAYF, ARIK, BIGC, BLDE, BLUE, MCDI, MCRA, OKSR, POSE, PRIN, WLOU, CUPE, GUIL, HOPB, REDB, SYCA, CARI, COMO, TECR, WALK\n\nVariables: Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Water_temperature, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate", "\nmodel info: NA\n\nSites: LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, BARC, BLWA, CRAM, FLNT, DELA, DSNY, GRSM, GUAN, HARV, HEAL, BONA, CLBJ, CPER, DCFS, DEJU, SJER, SOAP, SRER, STEI, STER, TALL, NOGP, OAES, ONAQ, ORNL, OSBS, TEAK, TOOL, TREE, UKFS, UNDE, LAJA, LENO, MLBS, MOAB, NIWO, PUUM, RMNP, SCBI, SERC, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, JERC, JORN, KONA, KONZ, KING, LECO, LEWI, MART, MAYF, ARIK, BIGC, BLDE, BLUE, MCDI, MCRA, OKSR, POSE, PRIN, WLOU, CUPE, GUIL, HOPB, REDB, SYCA, CARI, COMO, TECR, WALK\n\nVariables: Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Water_temperature, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate"], "start_datetime": "2023-11-15", - "end_datetime": "2024-03-28", + "end_datetime": "2024-03-29", "providers": [ { "url": "pending", @@ -125,8 +125,8 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily Green_chromatic_coordinate", "Daily Chlorophyll_a", + "Daily Green_chromatic_coordinate", "Daily Net_ecosystem_exchange", "Daily Water_temperature", "Daily Dissolved_oxygen", @@ -247,17 +247,17 @@ "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@project_id=neon4cast/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@project_id=neon4cast/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" - }, - "4": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", "href": "s3://anonymous@project_id=neon4cast/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@project_id=neon4cast/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" }, + "4": { + "type": "application/x-parquet", + "title": "Database Access for Daily Green_chromatic_coordinate", + "href": "s3://anonymous@project_id=neon4cast/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@project_id=neon4cast/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 Net_ecosystem_exchange", diff --git a/catalog/forecasts/models/model_items/sujan_ID.json b/catalog/forecasts/models/model_items/sujan_ID.json index 0bd70b9f72..b64dfa48b3 100644 --- a/catalog/forecasts/models/model_items/sujan_ID.json +++ b/catalog/forecasts/models/model_items/sujan_ID.json @@ -28,7 +28,7 @@ "properties": { "description": [], "start_datetime": "2024-02-12", - "end_datetime": "2024-03-24", + "end_datetime": "2024-03-25", "providers": [ { "url": "pending", diff --git a/catalog/forecasts/models/model_items/tg_arima.json b/catalog/forecasts/models/model_items/tg_arima.json index 9ba45c4a52..3809802f5d 100644 --- a/catalog/forecasts/models/model_items/tg_arima.json +++ b/catalog/forecasts/models/model_items/tg_arima.json @@ -16,6 +16,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-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], [-122.3303, 45.7624], [-156.6194, 71.2824], [-71.2874, 44.0639], @@ -60,16 +70,6 @@ [-89.5857, 45.4937], [-95.1921, 39.0404], [-89.5373, 46.2339], - [-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], [-99.2413, 47.1282], [-121.9519, 45.8205], [-110.5391, 44.9535], @@ -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, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, WOOD, WREF, YELL, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART\n\nVariables: Daily Green_chromatic_coordinate, Daily Chlorophyll_a, Daily latent_heat_flux, Daily Water_temperature, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Red_chromatic_coordinate, Weekly Amblyomma_americanum_population, Weekly beetle_community_richness, Weekly beetle_community_abundance", + "description": "\nmodel info: NA\n\nSites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, 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, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, REDB, SYCA, TECR, WALK, WLOU, ARIK, BIGC, BLDE, BLUE, CARI, COMO, CUPE, GUIL, HOPB, KING, LECO, LEWI, MART\n\nVariables: Daily Chlorophyll_a, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Water_temperature, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Weekly Amblyomma_americanum_population, Weekly beetle_community_richness, Daily Red_chromatic_coordinate, Weekly beetle_community_abundance", "start_datetime": "2023-01-01", "end_datetime": "2024-12-30", "providers": [ @@ -125,15 +125,15 @@ "keywords": [ "Forecasting", "neon4cast", - "Daily Green_chromatic_coordinate", "Daily Chlorophyll_a", + "Daily Green_chromatic_coordinate", "Daily latent_heat_flux", "Daily Water_temperature", "Daily Net_ecosystem_exchange", "Daily Dissolved_oxygen", - "Daily Red_chromatic_coordinate", "Weekly Amblyomma_americanum_population", "Weekly beetle_community_richness", + "Daily Red_chromatic_coordinate", "Weekly beetle_community_abundance" ], "table:columns": [ @@ -251,17 +251,17 @@ "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@project_id=neon4cast/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@project_id=neon4cast/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" - }, - "4": { "type": "application/x-parquet", "title": "Database Access for Daily Chlorophyll_a", "href": "s3://anonymous@project_id=neon4cast/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@project_id=neon4cast/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" }, + "4": { + "type": "application/x-parquet", + "title": "Database Access for Daily Green_chromatic_coordinate", + "href": "s3://anonymous@project_id=neon4cast/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@project_id=neon4cast/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" + }, "5": { "type": "application/x-parquet", "title": "Database Access for Daily latent_heat_flux", @@ -287,23 +287,23 @@ "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@project_id=neon4cast/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" }, "9": { - "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@project_id=neon4cast/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@project_id=neon4cast/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" - }, - "10": { "type": "application/x-parquet", "title": "Database Access for Weekly Amblyomma_americanum_population", "href": "s3://anonymous@project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/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@project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/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" }, - "11": { + "10": { "type": "application/x-parquet", "title": "Database Access for Weekly beetle_community_richness", "href": "s3://anonymous@project_id=neon4cast/duration=P1W/variable=richness/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@project_id=neon4cast/duration=P1W/variable=richness/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" }, + "11": { + "type": "application/x-parquet", + "title": "Database Access for Daily Red_chromatic_coordinate", + "href": "s3://anonymous@project_id=neon4cast/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@project_id=neon4cast/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" + }, "12": { "type": "application/x-parquet", "title": "Database Access for Weekly beetle_community_abundance", diff --git a/catalog/forecasts/models/model_items/tg_bag_mlp.json b/catalog/forecasts/models/model_items/tg_bag_mlp.json index c24036f3e2..c46214f0e6 100644 --- a/catalog/forecasts/models/model_items/tg_bag_mlp.json +++ b/catalog/forecasts/models/model_items/tg_bag_mlp.json @@ -26,24 +26,6 @@ [-82.0177, 29.6878], [-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], - [-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], [-96.5631, 39.1008], [-67.0769, 18.0213], [-88.1612, 31.8539], @@ -73,6 +55,24 @@ [-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], [-102.4471, 39.7582], [-119.2575, 37.0597], [-110.5871, 44.9501], diff --git a/catalog/forecasts/models/model_items/tg_ets.json b/catalog/forecasts/models/model_items/tg_ets.json index 035d5c7469..a7b19399e8 100644 --- a/catalog/forecasts/models/model_items/tg_ets.json +++ b/catalog/forecasts/models/model_items/tg_ets.json @@ -100,7 +100,7 @@ ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, 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, 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 Chlorophyll_a, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Water_temperature, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Weekly beetle_community_richness, Daily Red_chromatic_coordinate, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population", + "description": "\nmodel info: NA\n\nSites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, 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, 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 Chlorophyll_a, Daily Green_chromatic_coordinate, Daily latent_heat_flux, Daily Water_temperature, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Weekly beetle_community_richness, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Daily Red_chromatic_coordinate", "start_datetime": "2023-01-01", "end_datetime": "2024-12-30", "providers": [ @@ -132,9 +132,9 @@ "Daily Net_ecosystem_exchange", "Daily Dissolved_oxygen", "Weekly beetle_community_richness", - "Daily Red_chromatic_coordinate", "Weekly beetle_community_abundance", - "Weekly Amblyomma_americanum_population" + "Weekly Amblyomma_americanum_population", + "Daily Red_chromatic_coordinate" ], "table:columns": [ { @@ -293,22 +293,22 @@ "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@project_id=neon4cast/duration=P1W/variable=richness/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" }, "10": { - "type": "application/x-parquet", - "title": "Database Access for Daily Red_chromatic_coordinate", - "href": "s3://anonymous@project_id=neon4cast/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@project_id=neon4cast/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" - }, - "11": { "type": "application/x-parquet", "title": "Database Access for Weekly beetle_community_abundance", "href": "s3://anonymous@project_id=neon4cast/duration=P1W/variable=abundance/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@project_id=neon4cast/duration=P1W/variable=abundance/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" }, - "12": { + "11": { "type": "application/x-parquet", "title": "Database Access for Weekly Amblyomma_americanum_population", "href": "s3://anonymous@project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/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@project_id=neon4cast/duration=P1W/variable=amblyomma_americanum/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" + }, + "12": { + "type": "application/x-parquet", + "title": "Database Access for Daily Red_chromatic_coordinate", + "href": "s3://anonymous@project_id=neon4cast/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@project_id=neon4cast/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" } } } diff --git a/catalog/forecasts/models/model_items/tg_humidity_lm.json b/catalog/forecasts/models/model_items/tg_humidity_lm.json index 102041cd68..b99682dfe2 100644 --- a/catalog/forecasts/models/model_items/tg_humidity_lm.json +++ b/catalog/forecasts/models/model_items/tg_humidity_lm.json @@ -16,7 +16,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-149.6106, 68.6307], [-82.0084, 29.676], [-87.7982, 32.5415], [-89.4737, 46.2097], @@ -26,6 +25,7 @@ [-99.2531, 47.1298], [-82.0177, 29.6878], [-88.1589, 31.8534], + [-149.6106, 68.6307], [-78.1395, 38.8929], [-76.56, 38.8901], [-119.7323, 37.1088], @@ -100,7 +100,7 @@ ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: TOOK, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, 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, 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 Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Net_ecosystem_exchange, Daily latent_heat_flux, Daily Water_temperature, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Daily Red_chromatic_coordinate, Weekly beetle_community_richness", + "description": "\nmodel info: NA\n\nSites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, 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, 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 Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Dissolved_oxygen, Daily Net_ecosystem_exchange, Daily Water_temperature, Daily latent_heat_flux, Weekly beetle_community_abundance, Weekly Amblyomma_americanum_population, Daily Red_chromatic_coordinate, Weekly beetle_community_richness", "start_datetime": "2023-11-14", "end_datetime": "2024-02-16", "providers": [ @@ -129,8 +129,8 @@ "Daily Green_chromatic_coordinate", "Daily Dissolved_oxygen", "Daily Net_ecosystem_exchange", - "Daily latent_heat_flux", "Daily Water_temperature", + "Daily latent_heat_flux", "Weekly beetle_community_abundance", "Weekly Amblyomma_americanum_population", "Daily Red_chromatic_coordinate", @@ -275,17 +275,17 @@ "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@project_id=neon4cast/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" }, "7": { - "type": "application/x-parquet", - "title": "Database Access for Daily latent_heat_flux", - "href": "s3://anonymous@project_id=neon4cast/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@project_id=neon4cast/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" - }, - "8": { "type": "application/x-parquet", "title": "Database Access for Daily Water_temperature", "href": "s3://anonymous@project_id=neon4cast/duration=P1D/variable=temperature/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@project_id=neon4cast/duration=P1D/variable=temperature/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 latent_heat_flux", + "href": "s3://anonymous@project_id=neon4cast/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@project_id=neon4cast/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" + }, "9": { "type": "application/x-parquet", "title": "Database Access for Weekly beetle_community_abundance", diff --git a/catalog/forecasts/models/model_items/tg_humidity_lm_all_sites.json b/catalog/forecasts/models/model_items/tg_humidity_lm_all_sites.json index aec445d398..88b2108742 100644 --- a/catalog/forecasts/models/model_items/tg_humidity_lm_all_sites.json +++ b/catalog/forecasts/models/model_items/tg_humidity_lm_all_sites.json @@ -100,7 +100,7 @@ ] }, "properties": { - "description": "\nmodel info: NA\n\nSites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, 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, 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 Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily latent_heat_flux, Daily Water_temperature, Daily Red_chromatic_coordinate, Weekly Amblyomma_americanum_population, Weekly beetle_community_richness, Weekly beetle_community_abundance", + "description": "\nmodel info: NA\n\nSites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, 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, 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 Chlorophyll_a, Daily Green_chromatic_coordinate, Daily Net_ecosystem_exchange, Daily Dissolved_oxygen, Daily Water_temperature, Daily latent_heat_flux, Daily Red_chromatic_coordinate, Weekly Amblyomma_americanum_population, Weekly beetle_community_richness, Weekly beetle_community_abundance", "start_datetime": "2023-11-14", "end_datetime": "2024-02-16", "providers": [ @@ -129,8 +129,8 @@ "Daily Green_chromatic_coordinate", "Daily Net_ecosystem_exchange", "Daily Dissolved_oxygen", - "Daily latent_heat_flux", "Daily Water_temperature", + "Daily latent_heat_flux", "Daily Red_chromatic_coordinate", "Weekly Amblyomma_americanum_population", "Weekly beetle_community_richness", @@ -275,17 +275,17 @@ "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@project_id=neon4cast/duration=P1D/variable=oxygen/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 latent_heat_flux", - "href": "s3://anonymous@project_id=neon4cast/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@project_id=neon4cast/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" - }, - "8": { "type": "application/x-parquet", "title": "Database Access for Daily Water_temperature", "href": "s3://anonymous@project_id=neon4cast/duration=P1D/variable=temperature/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@project_id=neon4cast/duration=P1D/variable=temperature/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" }, + "8": { + "type": "application/x-parquet", + "title": "Database Access for Daily latent_heat_flux", + "href": "s3://anonymous@project_id=neon4cast/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@project_id=neon4cast/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" + }, "9": { "type": "application/x-parquet", "title": "Database Access for Daily Red_chromatic_coordinate",