Automated commit: Update data folder

earthcube · Jan 27, 2025 · bc6446c · bc6446c
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diff --git a/data/challenge/usgsrc4cast-stac/forecasts/aquatics/Daily_Chlorophyll_a/collection.json b/data/challenge/usgsrc4cast-stac/forecasts/aquatics/Daily_Chlorophyll_a/collection.json
@@ -76,7 +76,7 @@
             "interval": [
                 [
                     "2024-02-07T00:00:00Z",
-                    "2025-02-28T00:00:00Z"
+                    "2025-03-01T00:00:00Z"
                 ]
             ]
         }

diff --git a/...challenge/usgsrc4cast-stac/forecasts/aquatics/Daily_Chlorophyll_a/models/USGSHABsDL1.json b/...challenge/usgsrc4cast-stac/forecasts/aquatics/Daily_Chlorophyll_a/models/USGSHABsDL1.json
@@ -59,10 +59,10 @@
     "properties": {
         "title": "USGSHABsDL1",
         "description": "All forecasts 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                                    Forecasts are the raw forecasts that includes all ensemble members or distribution parameters. Due to the size of the raw forecasts, we recommend accessing the forecast summaries or scores to analyze forecasts (unless you need the individual ensemble members)",
-        "datetime": "2025-01-24",
-        "updated": "2025-01-25",
+        "datetime": "2025-01-25",
+        "updated": "2025-01-26",
         "start_datetime": "2024-09-26T00:00:00Z",
-        "end_datetime": "2025-02-22T00:00:00Z",
+        "end_datetime": "2025-02-23T00:00:00Z",
         "providers": [
             {
                 "url": "https://projects.ecoforecast.org/neon4cast-ci/",

diff --git a/...challenge/usgsrc4cast-stac/forecasts/aquatics/Daily_Chlorophyll_a/models/climatology.json b/...challenge/usgsrc4cast-stac/forecasts/aquatics/Daily_Chlorophyll_a/models/climatology.json
@@ -15,8 +15,16 @@
         "type": "MultiPoint",
         "coordinates": [
             [
-                -88.2515,
-                42.31
+                -75.0574,
+                41.7567
+            ],
+            [
+                -74.7781,
+                40.2217
+            ],
+            [
+                -88.6142,
+                41.2999
             ],
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                 -88.984,
@@ -43,26 +51,18 @@
                 45.5175
             ],
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-                41.7567
-            ],
-            [
-                -74.7781,
-                40.2217
-            ],
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-                -88.6142,
-                41.2999
+                -88.2515,
+                42.31
             ]
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     },
     "properties": {
         "title": "climatology",
-        "description": "All forecasts 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                                    Forecasts are the raw forecasts that includes all ensemble members or distribution parameters. Due to the size of the raw forecasts, we recommend accessing the forecast summaries or scores to analyze forecasts (unless you need the individual ensemble members)",
-        "datetime": "2025-01-24",
-        "updated": "2025-01-25",
+        "description": "All forecasts 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-01427510, USGS-01463500, USGS-05543010, USGS-05553700, USGS-05558300, USGS-05586300, USGS-14181500, USGS-14211010, USGS-14211720, USGS-05549500.\n                                    Forecasts are the raw forecasts that includes all ensemble members or distribution parameters. Due to the size of the raw forecasts, we recommend accessing the forecast summaries or scores to analyze forecasts (unless you need the individual ensemble members)",
+        "datetime": "2025-01-25",
+        "updated": "2025-01-26",
         "start_datetime": "2024-02-07T00:00:00Z",
-        "end_datetime": "2025-02-28T00:00:00Z",
+        "end_datetime": "2025-03-01T00:00:00Z",
         "providers": [
             {
                 "url": "https://github.com/eco4cast/usgsrc4cast-ci/blob/main/baseline_models/models/aquatics_climatology.R",
@@ -91,16 +91,16 @@
             "chla",
             "Daily",
             "P1D",
-            "USGS-05549500",
+            "USGS-01427510",
+            "USGS-01463500",
+            "USGS-05543010",
             "USGS-05553700",
             "USGS-05558300",
             "USGS-05586300",
             "USGS-14181500",
             "USGS-14211010",
             "USGS-14211720",
-            "USGS-01427510",
-            "USGS-01463500",
-            "USGS-05543010"
+            "USGS-05549500"
         ],
         "table:columns": [
             {

diff --git a/...allenge/usgsrc4cast-stac/forecasts/aquatics/Daily_Chlorophyll_a/models/persistenceRW.json b/...allenge/usgsrc4cast-stac/forecasts/aquatics/Daily_Chlorophyll_a/models/persistenceRW.json
@@ -59,10 +59,10 @@
     "properties": {
         "title": "persistenceRW",
         "description": "All forecasts 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                                    Forecasts are the raw forecasts that includes all ensemble members or distribution parameters. Due to the size of the raw forecasts, we recommend accessing the forecast summaries or scores to analyze forecasts (unless you need the individual ensemble members)",
-        "datetime": "2025-01-24",
-        "updated": "2025-01-25",
+        "datetime": "2025-01-25",
+        "updated": "2025-01-26",
         "start_datetime": "2024-02-07T00:00:00Z",
-        "end_datetime": "2025-02-27T00:00:00Z",
+        "end_datetime": "2025-02-28T00:00:00Z",
         "providers": [
             {
                 "url": "https://github.com/eco4cast/usgsrc4cast-ci/blob/main/baseline_models/models/aquatics_persistenceRW.R",

diff --git a/data/challenge/usgsrc4cast-stac/forecasts/aquatics/collection.json b/data/challenge/usgsrc4cast-stac/forecasts/aquatics/collection.json
@@ -66,7 +66,7 @@
             "interval": [
                 [
                     "2024-02-07T00:00:00Z",
-                    "2025-02-28T00:00:00Z"
+                    "2025-03-01T00:00:00Z"
                 ]
             ]
         }

diff --git a/data/challenge/usgsrc4cast-stac/forecasts/collection.json b/data/challenge/usgsrc4cast-stac/forecasts/collection.json
@@ -62,7 +62,7 @@
             "interval": [
                 [
                     "2024-02-07T00:00:00Z",
-                    "2025-02-28T00:00:00Z"
+                    "2025-03-01T00:00:00Z"
                 ]
             ]
         }

diff --git a/data/challenge/usgsrc4cast-stac/inventory/collection.json b/data/challenge/usgsrc4cast-stac/inventory/collection.json
@@ -58,7 +58,7 @@
             "interval": [
                 [
                     "2023-01-01T00:00:00Z",
-                    "2025-02-28T00:00:00Z"
+                    "2025-03-01T00:00:00Z"
                 ]
             ]
         }

diff --git a/data/challenge/usgsrc4cast-stac/noaa_forecasts/Pseudo/collection.json b/data/challenge/usgsrc4cast-stac/noaa_forecasts/Pseudo/collection.json
@@ -58,7 +58,7 @@
             "interval": [
                 [
                     "2020-01-01T00:00:00Z",
-                    "2025-01-25T00:00:00Z"
+                    "2025-01-26T00:00:00Z"
                 ]
             ]
         }

diff --git a/data/challenge/usgsrc4cast-stac/noaa_forecasts/Stage1-stats/collection.json b/data/challenge/usgsrc4cast-stac/noaa_forecasts/Stage1-stats/collection.json
@@ -58,7 +58,7 @@
             "interval": [
                 [
                     "2020-01-01T00:00:00Z",
-                    "2025-01-25T00:00:00Z"
+                    "2025-01-26T00:00:00Z"
                 ]
             ]
         }

diff --git a/data/challenge/usgsrc4cast-stac/noaa_forecasts/Stage1/collection.json b/data/challenge/usgsrc4cast-stac/noaa_forecasts/Stage1/collection.json
@@ -58,7 +58,7 @@
             "interval": [
                 [
                     "2020-01-01T00:00:00Z",
-                    "2025-01-25T00:00:00Z"
+                    "2025-01-26T00:00:00Z"
                 ]
             ]
         }

diff --git a/data/challenge/usgsrc4cast-stac/noaa_forecasts/Stage2/collection.json b/data/challenge/usgsrc4cast-stac/noaa_forecasts/Stage2/collection.json
@@ -58,7 +58,7 @@
             "interval": [
                 [
                     "2020-01-01T00:00:00Z",
-                    "2025-01-25T00:00:00Z"
+                    "2025-01-26T00:00:00Z"
                 ]
             ]
         }

diff --git a/data/challenge/usgsrc4cast-stac/noaa_forecasts/Stage3/collection.json b/data/challenge/usgsrc4cast-stac/noaa_forecasts/Stage3/collection.json
@@ -58,7 +58,7 @@
             "interval": [
                 [
                     "2020-01-01T00:00:00Z",
-                    "2025-01-25T00:00:00Z"
+                    "2025-01-26T00:00:00Z"
                 ]
             ]
         }

diff --git a/data/challenge/usgsrc4cast-stac/noaa_forecasts/collection.json b/data/challenge/usgsrc4cast-stac/noaa_forecasts/collection.json
@@ -86,7 +86,7 @@
             "interval": [
                 [
                     "2020-01-01T00:00:00Z",
-                    "2025-01-25T00:00:00Z"
+                    "2025-01-26T00:00:00Z"
                 ]
             ]
         }

diff --git a/data/challenge/usgsrc4cast-stac/scores/aquatics/Daily_Chlorophyll_a/collection.json b/data/challenge/usgsrc4cast-stac/scores/aquatics/Daily_Chlorophyll_a/collection.json
@@ -11,22 +11,22 @@
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/climatology.json"
+            "href": "./models/USGSHABs1.json"
         },
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/persistenceRW.json"
+            "href": "./models/USGSHABsDL1.json"
         },
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/USGSHABs1.json"
+            "href": "./models/climatology.json"
         },
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/USGSHABsDL1.json"
+            "href": "./models/persistenceRW.json"
         },
         {
             "rel": "parent",
@@ -76,7 +76,7 @@
             "interval": [
                 [
                     "2024-02-07T00:00:00Z",
-                    "2025-01-25T00:00:00Z"
+                    "2025-01-26T00:00:00Z"
                 ]
             ]
         }

diff --git a/data/challenge/usgsrc4cast-stac/scores/aquatics/Daily_Chlorophyll_a/models/USGSHABs1.json b/data/challenge/usgsrc4cast-stac/scores/aquatics/Daily_Chlorophyll_a/models/USGSHABs1.json
@@ -62,7 +62,7 @@
         "datetime": "2025-01-24",
         "updated": "2025-01-25",
         "start_datetime": "2024-02-13T00:00:00Z",
-        "end_datetime": "2025-01-25T00:00:00Z",
+        "end_datetime": "2025-01-26T00:00:00Z",
         "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/data/challenge/usgsrc4cast-stac/scores/aquatics/Daily_Chlorophyll_a/models/USGSHABsDL1.json b/data/challenge/usgsrc4cast-stac/scores/aquatics/Daily_Chlorophyll_a/models/USGSHABsDL1.json
@@ -59,10 +59,10 @@
     "properties": {
         "title": "USGSHABsDL1",
         "description": "All scores 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                                    Scores are metrics that describe how well forecasts compare to observations. The scores catalog includes are summaries of the forecasts (i.e., mean, median, confidence intervals), matched observations (if available), and scores (metrics of how well the model distribution compares to observations)",
-        "datetime": "2025-01-24",
-        "updated": "2025-01-25",
+        "datetime": "2025-01-25",
+        "updated": "2025-01-26",
         "start_datetime": "2024-09-26T00:00:00Z",
-        "end_datetime": "2025-01-25T00:00:00Z",
+        "end_datetime": "2025-01-26T00:00:00Z",
         "providers": [
             {
                 "url": "https://projects.ecoforecast.org/neon4cast-ci/",

diff --git a/data/challenge/usgsrc4cast-stac/scores/aquatics/Daily_Chlorophyll_a/models/climatology.json b/data/challenge/usgsrc4cast-stac/scores/aquatics/Daily_Chlorophyll_a/models/climatology.json
@@ -14,6 +14,10 @@
     "geometry": {
         "type": "MultiPoint",
         "coordinates": [
+            [
+                -75.0574,
+                41.7567
+            ],
             [
                 -74.7781,
                 40.2217
@@ -22,10 +26,6 @@
                 -88.6142,
                 41.2999
             ],
-            [
-                -88.2515,
-                42.31
-            ],
             [
                 -88.984,
                 41.3248
@@ -51,18 +51,18 @@
                 45.5175
             ],
             [
-                -75.0574,
-                41.7567
+                -88.2515,
+                42.31
             ]
         ]
     },
     "properties": {
         "title": "climatology",
-        "description": "All scores 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-01463500, USGS-05543010, USGS-05549500, USGS-05553700, USGS-05558300, USGS-05586300, USGS-14181500, USGS-14211010, USGS-14211720, USGS-01427510.\n                                    Scores are metrics that describe how well forecasts compare to observations. The scores catalog includes are summaries of the forecasts (i.e., mean, median, confidence intervals), matched observations (if available), and scores (metrics of how well the model distribution compares to observations)",
-        "datetime": "2025-01-24",
-        "updated": "2025-01-25",
+        "description": "All scores 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-01427510, USGS-01463500, USGS-05543010, USGS-05553700, USGS-05558300, USGS-05586300, USGS-14181500, USGS-14211010, USGS-14211720, USGS-05549500.\n                                    Scores are metrics that describe how well forecasts compare to observations. The scores catalog includes are summaries of the forecasts (i.e., mean, median, confidence intervals), matched observations (if available), and scores (metrics of how well the model distribution compares to observations)",
+        "datetime": "2025-01-25",
+        "updated": "2025-01-26",
         "start_datetime": "2024-02-07T00:00:00Z",
-        "end_datetime": "2025-01-25T00:00:00Z",
+        "end_datetime": "2025-01-26T00:00:00Z",
         "providers": [
             {
                 "url": "https://github.com/eco4cast/usgsrc4cast-ci/blob/main/baseline_models/models/aquatics_climatology.R",
@@ -91,16 +91,16 @@
             "chla",
             "Daily",
             "P1D",
+            "USGS-01427510",
             "USGS-01463500",
             "USGS-05543010",
-            "USGS-05549500",
             "USGS-05553700",
             "USGS-05558300",
             "USGS-05586300",
             "USGS-14181500",
             "USGS-14211010",
             "USGS-14211720",
-            "USGS-01427510"
+            "USGS-05549500"
         ],
         "table:columns": [
             {

diff --git a/.../challenge/usgsrc4cast-stac/scores/aquatics/Daily_Chlorophyll_a/models/persistenceRW.json b/.../challenge/usgsrc4cast-stac/scores/aquatics/Daily_Chlorophyll_a/models/persistenceRW.json
@@ -59,10 +59,10 @@
     "properties": {
         "title": "persistenceRW",
         "description": "All scores 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                                    Scores are metrics that describe how well forecasts compare to observations. The scores catalog includes are summaries of the forecasts (i.e., mean, median, confidence intervals), matched observations (if available), and scores (metrics of how well the model distribution compares to observations)",
-        "datetime": "2025-01-24",
-        "updated": "2025-01-25",
+        "datetime": "2025-01-25",
+        "updated": "2025-01-26",
         "start_datetime": "2024-02-07T00:00:00Z",
-        "end_datetime": "2025-01-25T00:00:00Z",
+        "end_datetime": "2025-01-26T00:00:00Z",
         "providers": [
             {
                 "url": "https://github.com/eco4cast/usgsrc4cast-ci/blob/main/baseline_models/models/aquatics_persistenceRW.R",

diff --git a/data/challenge/usgsrc4cast-stac/scores/aquatics/collection.json b/data/challenge/usgsrc4cast-stac/scores/aquatics/collection.json
@@ -66,7 +66,7 @@
             "interval": [
                 [
                     "2024-02-07T00:00:00Z",
-                    "2025-01-25T00:00:00Z"
+                    "2025-01-26T00:00:00Z"
                 ]
             ]
         }

diff --git a/data/challenge/usgsrc4cast-stac/scores/collection.json b/data/challenge/usgsrc4cast-stac/scores/collection.json
@@ -62,7 +62,7 @@
             "interval": [
                 [
                     "2024-02-07T00:00:00Z",
-                    "2025-01-25T00:00:00Z"
+                    "2025-01-26T00:00:00Z"
                 ]
             ]
         }

diff --git a/data/challenge/usgsrc4cast-stac/sites/collection.json b/data/challenge/usgsrc4cast-stac/sites/collection.json
@@ -58,7 +58,7 @@
             "interval": [
                 [
                     "2009-01-22T00:00:00Z",
-                    "2025-01-25T00:00:00Z"
+                    "2025-01-26T00:00:00Z"
                 ]
             ]
         }

diff --git a/data/challenge/usgsrc4cast-stac/summaries/aquatics/Daily_Chlorophyll_a/collection.json b/data/challenge/usgsrc4cast-stac/summaries/aquatics/Daily_Chlorophyll_a/collection.json
@@ -76,7 +76,7 @@
             "interval": [
                 [
                     "2024-02-07T00:00:00Z",
-                    "2025-02-28T00:00:00Z"
+                    "2025-03-01T00:00:00Z"
                 ]
             ]
         }

diff --git a/...challenge/usgsrc4cast-stac/summaries/aquatics/Daily_Chlorophyll_a/models/USGSHABsDL1.json b/...challenge/usgsrc4cast-stac/summaries/aquatics/Daily_Chlorophyll_a/models/USGSHABsDL1.json
@@ -59,10 +59,10 @@
     "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": "2025-01-24",
-        "updated": "2025-01-25",
+        "datetime": "2025-01-25",
+        "updated": "2025-01-26",
         "start_datetime": "2024-09-26T00:00:00Z",
-        "end_datetime": "2025-02-22T00:00:00Z",
+        "end_datetime": "2025-02-23T00:00:00Z",
         "providers": [
             {
                 "url": "https://projects.ecoforecast.org/neon4cast-ci/",

diff --git a/...challenge/usgsrc4cast-stac/summaries/aquatics/Daily_Chlorophyll_a/models/climatology.json b/...challenge/usgsrc4cast-stac/summaries/aquatics/Daily_Chlorophyll_a/models/climatology.json
@@ -59,10 +59,10 @@
     "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-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": "2025-01-24",
-        "updated": "2025-01-25",
+        "datetime": "2025-01-25",
+        "updated": "2025-01-26",
         "start_datetime": "2024-02-07T00:00:00Z",
-        "end_datetime": "2025-02-28T00:00:00Z",
+        "end_datetime": "2025-03-01T00:00:00Z",
         "providers": [
             {
                 "url": "https://github.com/eco4cast/usgsrc4cast-ci/blob/main/baseline_models/models/aquatics_climatology.R",