update catalog

eco4cast · Sep 30, 2024 · 3804213 · 3804213
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Showing 7 changed files with 11 additions and 11 deletions.
diff --git a/catalog/summaries/aquatics/Daily_Chlorophyll_a/collection.json b/catalog/summaries/aquatics/Daily_Chlorophyll_a/collection.json
@@ -71,7 +71,7 @@
       "interval": [
         [
           "2024-02-07T00:00:00Z",
-          "2024-11-02T00:00:00Z"
+          "2024-11-03T00:00:00Z"
         ]
       ]
     }

diff --git a/catalog/summaries/aquatics/Daily_Chlorophyll_a/models/USGSHABs1.json b/catalog/summaries/aquatics/Daily_Chlorophyll_a/models/USGSHABs1.json
@@ -24,9 +24,9 @@
   "properties": {
     "title": "USGSHABs1",
     "description": "All summaries for the Daily_Chlorophyll_a variable for the USGSHABs1 model. Information for the model is provided as follows: Uses the randomForest::randomForest() R package model to train site-specific models for predicting river chl-a. Uses ensemble Kalman filter to adjust predicted chl-a states..\n                                    The model predicts this variable at the following sites: USGS-14211720, USGS-14181500, USGS-05586300, USGS-05558300, USGS-05553700, USGS-05543010, USGS-05549500, USGS-01427510, USGS-14211010, USGS-01463500.\n                                    Summaries are the forecasts statistics of the raw forecasts (i.e., mean, median, confidence intervals)",
-    "datetime": "2024-09-29T00:00:00Z",
+    "datetime": "2024-09-30T00:00:00Z",
     "start_datetime": "2024-02-13T00:00:00Z",
-    "end_datetime": "2024-10-31T00:00:00Z",
+    "end_datetime": "2024-11-01T00:00:00Z",
     "providers": [
       {
         "url": "https://code.usgs.gov/wma/proxies/habs/habs-forecast-chl-usgsrc4cast/-/blob/main/2_model/src/chla_models.R?ref_type=heads",

diff --git a/catalog/summaries/aquatics/Daily_Chlorophyll_a/models/USGSHABsDL1.json b/catalog/summaries/aquatics/Daily_Chlorophyll_a/models/USGSHABsDL1.json
@@ -24,9 +24,9 @@
   "properties": {
     "title": "USGSHABsDL1",
     "description": "All summaries for the Daily_Chlorophyll_a variable for the USGSHABsDL1 model. Information for the model is provided as follows: We train a long-short term memory neural network to predict the Gaussian distribution of river chl-a and update the model states with ensemble Kalman filter. Written in PyTorch.\n                                    The model predicts this variable at the following sites: USGS-01427510, USGS-01463500, USGS-05543010, USGS-05549500, USGS-05553700, USGS-05558300, USGS-05586300, USGS-14181500, USGS-14211010, USGS-14211720.\n                                    Summaries are the forecasts statistics of the raw forecasts (i.e., mean, median, confidence intervals)",
-    "datetime": "2024-09-29T00:00:00Z",
+    "datetime": "2024-09-30T00:00:00Z",
     "start_datetime": "2024-09-26T00:00:00Z",
-    "end_datetime": "2024-10-27T00:00:00Z",
+    "end_datetime": "2024-10-28T00:00:00Z",
     "providers": [
       {
         "url": "https://projects.ecoforecast.org/neon4cast-ci/",

diff --git a/catalog/summaries/aquatics/Daily_Chlorophyll_a/models/climatology.json b/catalog/summaries/aquatics/Daily_Chlorophyll_a/models/climatology.json
@@ -24,9 +24,9 @@
   "properties": {
     "title": "climatology",
     "description": "All summaries for the Daily_Chlorophyll_a variable for the climatology model. Information for the model is provided as follows: Forecasts stream chlorophyll-a based on the historic average and standard deviation for that given site and day-of-year..\n                                    The model predicts this variable at the following sites: USGS-05549500, USGS-05553700, USGS-05558300, USGS-05586300, USGS-14181500, USGS-14211010, USGS-14211720, USGS-01427510, USGS-01463500, USGS-05543010.\n                                    Summaries are the forecasts statistics of the raw forecasts (i.e., mean, median, confidence intervals)",
-    "datetime": "2024-09-29T00:00:00Z",
+    "datetime": "2024-09-30T00:00:00Z",
     "start_datetime": "2024-02-07T00:00:00Z",
-    "end_datetime": "2024-11-02T00:00:00Z",
+    "end_datetime": "2024-11-03T00:00:00Z",
     "providers": [
       {
         "url": "https://github.com/eco4cast/usgsrc4cast-ci/blob/main/baseline_models/models/aquatics_climatology.R",

diff --git a/catalog/summaries/aquatics/Daily_Chlorophyll_a/models/persistenceRW.json b/catalog/summaries/aquatics/Daily_Chlorophyll_a/models/persistenceRW.json
@@ -24,9 +24,9 @@
   "properties": {
     "title": "persistenceRW",
     "description": "All summaries for the Daily_Chlorophyll_a variable for the persistenceRW model. Information for the model is provided as follows: Random walk model based on most recent stream chl-a observations using the fable::RW() model..\n                                    The model predicts this variable at the following sites: USGS-01427510, USGS-01463500, USGS-05543010, USGS-05549500, USGS-05553700, USGS-05558300, USGS-05586300, USGS-14181500, USGS-14211010, USGS-14211720.\n                                    Summaries are the forecasts statistics of the raw forecasts (i.e., mean, median, confidence intervals)",
-    "datetime": "2024-09-29T00:00:00Z",
+    "datetime": "2024-09-30T00:00:00Z",
     "start_datetime": "2024-02-07T00:00:00Z",
-    "end_datetime": "2024-11-01T00:00:00Z",
+    "end_datetime": "2024-11-02T00:00:00Z",
     "providers": [
       {
         "url": "https://github.com/eco4cast/usgsrc4cast-ci/blob/main/baseline_models/models/aquatics_persistenceRW.R",

diff --git a/catalog/summaries/aquatics/collection.json b/catalog/summaries/aquatics/collection.json
@@ -59,7 +59,7 @@
       "interval": [
         [
           "2024-02-07T00:00:00Z",
-          "2024-11-02T00:00:00Z"
+          "2024-11-03T00:00:00Z"
         ]
       ]
     }

diff --git a/catalog/summaries/collection.json b/catalog/summaries/collection.json
@@ -57,7 +57,7 @@
       "interval": [
         [
           "2024-02-07T00:00:00Z",
-          "2024-11-02T00:00:00Z"
+          "2024-11-03T00:00:00Z"
         ]
       ]
     }