update catalog

LTREB-reservoirs · Feb 10, 2024 · 6477f68 · 6477f68
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diff --git a/catalog/forecasts/models/model_items/glm_aed_v1.json b/catalog/forecasts/models/model_items/glm_aed_v1.json
@@ -22,7 +22,7 @@
   "properties": {
     "description": "\nmodel info: GLM-AED with Ensemble Kalman Filter as implemented in FLARE.  This version used DA to update model states but not model parameters.\n\nSites: fcre\n\nVariables: Daily Bloom_binary, Daily Chlorophyll-a, Daily Dissolved organic carbon concentration, Daily oxygen_concentration, Daily ammonium concentration, Daily Total soluble reactive phosphorus concentration, Daily Water_temperature, Daily fluorescent dissolved organic matter, Daily Secchi, Daily Dissolved methane, Daily Presence of ice cover",
     "start_datetime": "2023-10-14",
-    "end_datetime": "2024-03-11",
+    "end_datetime": "2024-03-14",
     "providers": [
       {
         "url": "pending",

diff --git a/catalog/forecasts/models/model_items/inflow_gefsClimAED.json b/catalog/forecasts/models/model_items/inflow_gefsClimAED.json
@@ -22,7 +22,7 @@
   "properties": {
     "description": "\nmodel info: flow is forecasted as using a linear relationship between historical flow, month, and 5-day sum of precipitation.  Temperature is forecasted using a linear relationship between historical water temperature, month, and 5-day mean air temperature.  NOAA GEFS is then used to get the future values of 5-day sum precipitation and mean temperature.  Nutrients are forecasting using the DOY climatology.  The DOY climatology was developed using a linear interpolation of the historical samples.\n\nSites: tubr\n\nVariables: Daily Dissolved methane, Daily Dissolved organic carbon concentration, Daily dissolved organic carbon concentration, Daily Dissolved silica concentration, Daily Inflow discharge, Daily ammonium concentration, Daily Nitrate concentration, Daily Total soluble reactive phosphorus concentration, Daily Total nitrogen concentration, Daily Total phosphorus concentration, Daily Water_temperature",
     "start_datetime": "2023-10-13",
-    "end_datetime": "2024-03-11",
+    "end_datetime": "2024-03-14",
     "providers": [
       {
         "url": "pending",

diff --git a/catalog/scores/Biological/Daily_Bloom_binary/collection.json b/catalog/scores/Biological/Daily_Bloom_binary/collection.json
@@ -30,6 +30,26 @@
       "type": "application/json",
       "href": "../../models/model_items/glm_aed_v1.json"
     },
+    {
+      "rel": "item",
+      "type": "application/json",
+      "href": "../../models/model_items/monthly_mean.json"
+    },
+    {
+      "rel": "item",
+      "type": "application/json",
+      "href": "../../models/model_items/historic_mean.json"
+    },
+    {
+      "rel": "item",
+      "type": "application/json",
+      "href": "../../models/model_items/persistenceRW.json"
+    },
+    {
+      "rel": "item",
+      "type": "application/json",
+      "href": "../../models/model_items/climatology.json"
+    },
     {
       "rel": "parent",
       "type": "application/json",
@@ -73,7 +93,7 @@
       "interval": [
         [
           "2023-10-01T00:00:00Z",
-          "2024-02-08T00:00:00Z"
+          "2024-02-09T00:00:00Z"
         ]
       ]
     }

diff --git a/catalog/scores/Biological/Daily_Chlorophyll-a/collection.json b/catalog/scores/Biological/Daily_Chlorophyll-a/collection.json
@@ -43,17 +43,17 @@
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/historic_mean.json"
+      "href": "../../models/model_items/persistenceRW.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/monthly_mean.json"
+      "href": "../../models/model_items/historic_mean.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/persistenceRW.json"
+      "href": "../../models/model_items/monthly_mean.json"
     },
     {
       "rel": "parent",
@@ -98,7 +98,7 @@
       "interval": [
         [
           "2023-10-01T00:00:00Z",
-          "2024-02-08T00:00:00Z"
+          "2024-02-09T00:00:00Z"
         ]
       ]
     }

diff --git a/catalog/scores/Biological/collection.json b/catalog/scores/Biological/collection.json
@@ -63,7 +63,7 @@
       "interval": [
         [
           "2023-09-21T00:00:00Z",
-          "2024-02-09T00:00:00Z"
+          "2024-02-10T00:00:00Z"
         ]
       ]
     }

diff --git a/catalog/scores/Chemical/Daily_oxygen_concentration/collection.json b/catalog/scores/Chemical/Daily_oxygen_concentration/collection.json
@@ -23,7 +23,7 @@
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/monthly_mean.json"
+      "href": "../../models/model_items/historic_mean.json"
     },
     {
       "rel": "item",
@@ -33,7 +33,7 @@
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/historic_mean.json"
+      "href": "../../models/model_items/monthly_mean.json"
     },
     {
       "rel": "parent",
@@ -78,7 +78,7 @@
       "interval": [
         [
           "2023-10-14T00:00:00Z",
-          "2024-02-08T00:00:00Z"
+          "2024-02-09T00:00:00Z"
         ]
       ]
     }

diff --git a/catalog/scores/Chemical/collection.json b/catalog/scores/Chemical/collection.json
@@ -58,7 +58,7 @@
       "interval": [
         [
           "2023-09-21T00:00:00Z",
-          "2024-02-09T00:00:00Z"
+          "2024-02-10T00:00:00Z"
         ]
       ]
     }

diff --git a/catalog/scores/Physical/Daily_Water_temperature/collection.json b/catalog/scores/Physical/Daily_Water_temperature/collection.json
@@ -20,11 +20,6 @@
       "type": "application/json",
       "href": "../../models/model_items/TempC_mean_example_forecast.json"
     },
-    {
-      "rel": "item",
-      "type": "application/json",
-      "href": "../../models/model_items/Temp_C_mean.json"
-    },
     {
       "rel": "item",
       "type": "application/json",
@@ -45,6 +40,11 @@
       "type": "application/json",
       "href": "../../models/model_items/glm_aed_v1.json"
     },
+    {
+      "rel": "item",
+      "type": "application/json",
+      "href": "../../models/model_items/historic_mean.json"
+    },
     {
       "rel": "item",
       "type": "application/json",
@@ -53,22 +53,22 @@
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/persistenceFO.json"
+      "href": "../../models/model_items/monthly_mean.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/persistenceRW.json"
+      "href": "../../models/model_items/persistenceFO.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/historic_mean.json"
+      "href": "../../models/model_items/persistenceRW.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/monthly_mean.json"
+      "href": "../../models/model_items/Temp_C_mean.json"
     },
     {
       "rel": "parent",
@@ -113,7 +113,7 @@
       "interval": [
         [
           "2023-09-21T00:00:00Z",
-          "2024-02-08T00:00:00Z"
+          "2024-02-09T00:00:00Z"
         ]
       ]
     }

diff --git a/catalog/scores/Physical/Hourly_Water_temperature/collection.json b/catalog/scores/Physical/Hourly_Water_temperature/collection.json
@@ -20,11 +20,6 @@
       "type": "application/json",
       "href": "../../models/model_items/TempC_mean_example_forecast.json"
     },
-    {
-      "rel": "item",
-      "type": "application/json",
-      "href": "../../models/model_items/Temp_C_mean.json"
-    },
     {
       "rel": "item",
       "type": "application/json",
@@ -45,6 +40,11 @@
       "type": "application/json",
       "href": "../../models/model_items/glm_aed_v1.json"
     },
+    {
+      "rel": "item",
+      "type": "application/json",
+      "href": "../../models/model_items/historic_mean.json"
+    },
     {
       "rel": "item",
       "type": "application/json",
@@ -53,22 +53,22 @@
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/persistenceFO.json"
+      "href": "../../models/model_items/monthly_mean.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/persistenceRW.json"
+      "href": "../../models/model_items/persistenceFO.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/historic_mean.json"
+      "href": "../../models/model_items/persistenceRW.json"
     },
     {
       "rel": "item",
       "type": "application/json",
-      "href": "../../models/model_items/monthly_mean.json"
+      "href": "../../models/model_items/Temp_C_mean.json"
     },
     {
       "rel": "parent",
@@ -113,7 +113,7 @@
       "interval": [
         [
           "2023-09-21T00:00:00Z",
-          "2024-02-08T00:00:00Z"
+          "2024-02-09T00:00:00Z"
         ]
       ]
     }

diff --git a/catalog/scores/Physical/collection.json b/catalog/scores/Physical/collection.json
@@ -68,7 +68,7 @@
       "interval": [
         [
           "2023-09-21T00:00:00Z",
-          "2024-02-09T00:00:00Z"
+          "2024-02-10T00:00:00Z"
         ]
       ]
     }

diff --git a/catalog/scores/collection.json b/catalog/scores/collection.json
@@ -82,7 +82,7 @@
       "interval": [
         [
           "2023-09-21T00:00:00Z",
-          "2024-02-09T00:00:00Z"
+          "2024-02-10T00:00:00Z"
         ]
       ]
     }

diff --git a/catalog/scores/models/collection.json b/catalog/scores/models/collection.json
@@ -40,6 +40,11 @@
       "type": "application/json",
       "href": "model_items/icon_seamless.json"
     },
+    {
+      "rel": "item",
+      "type": "application/json",
+      "href": "model_items/monthly_mean.json"
+    },
     {
       "rel": "item",
       "type": "application/json",
@@ -78,7 +83,7 @@
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/monthly_mean.json"
+      "href": "model_items/Flow_cms_mean.json"
     },
     {
       "rel": "item",
@@ -95,11 +100,6 @@
       "type": "application/json",
       "href": "model_items/TempC_mean_example_forecast.json"
     },
-    {
-      "rel": "item",
-      "type": "application/json",
-      "href": "model_items/Temp_C_mean.json"
-    },
     {
       "rel": "item",
       "type": "application/json",
@@ -113,7 +113,7 @@
     {
       "rel": "item",
       "type": "application/json",
-      "href": "model_items/Flow_cms_mean.json"
+      "href": "model_items/Temp_C_mean.json"
     },
     {
       "rel": "parent",
@@ -158,7 +158,7 @@
       "interval": [
         [
           "2023-09-21T00:00:00Z",
-          "2024-02-09T00:00:00Z"
+          "2024-02-10T00:00:00Z"
         ]
       ]
     }

diff --git a/catalog/scores/models/model_items/Flow_cms_mean.json b/catalog/scores/models/model_items/Flow_cms_mean.json
@@ -22,7 +22,7 @@
   "properties": {
     "description": [],
     "start_datetime": "2024-02-06",
-    "end_datetime": "2024-02-08",
+    "end_datetime": "2024-02-09",
     "providers": [
       {
         "url": "pending",

diff --git a/catalog/scores/models/model_items/Temp_C_mean.json b/catalog/scores/models/model_items/Temp_C_mean.json
@@ -22,7 +22,7 @@
   "properties": {
     "description": [],
     "start_datetime": "2024-02-06",
-    "end_datetime": "2024-02-08",
+    "end_datetime": "2024-02-09",
     "providers": [
       {
         "url": "pending",

diff --git a/catalog/scores/models/model_items/cfs.json b/catalog/scores/models/model_items/cfs.json
@@ -22,7 +22,7 @@
   "properties": {
     "description": "\nmodel info: NOAA Climate Forecasting System forecasts as downloaded from open-meteo.com.  Submitted forecasts only include the first ~6 months because there are 4 ensemble members available (only 1 is available from 6 - 9 months).\n\nSites: fcre\n\nVariables: Daily Air temperature, Daily Relative humdity, Daily Precipitation, Daily Shortwave radiation, Daily Wind speed",
     "start_datetime": "2023-10-13",
-    "end_datetime": "2024-02-09",
+    "end_datetime": "2024-02-10",
     "providers": [
       {
         "url": "pending",

diff --git a/catalog/scores/models/model_items/climatology.json b/catalog/scores/models/model_items/climatology.json
@@ -22,9 +22,9 @@
     ]
   },
   "properties": {
-    "description": "\nmodel info: Historical DOY mean and sd.  Assumes normal distribution\n\nSites: fcre, bvre, tubr\n\nVariables: Daily Air temperature, Daily Chlorophyll-a, Daily oxygen_concentration, Daily Inflow discharge, Daily Water_temperature, Daily oxygen % sat",
+    "description": "\nmodel info: Historical DOY mean and sd.  Assumes normal distribution\n\nSites: fcre, bvre, tubr\n\nVariables: Daily Air temperature, Daily Chlorophyll-a, Daily oxygen_concentration, Daily Inflow discharge, Daily Water_temperature, Daily fluorescent dissolved organic matter, Daily oxygen % sat, Daily Bloom_binary",
     "start_datetime": "2023-09-21",
-    "end_datetime": "2024-02-09",
+    "end_datetime": "2024-02-10",
     "providers": [
       {
         "url": "pending",
@@ -52,7 +52,9 @@
       "Daily oxygen_concentration",
       "Daily Inflow discharge",
       "Daily Water_temperature",
-      "Daily oxygen % sat"
+      "Daily fluorescent dissolved organic matter",
+      "Daily oxygen % sat",
+      "Daily Bloom_binary"
     ],
     "table:columns": [
       {
@@ -239,10 +241,22 @@
       "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@bio230121-bucket01/vera4cast/scores/parquet/project_id=vera4cast/duration=P1D/variable=Temp_C_mean/model_id=climatology?endpoint_override=renc.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 fluorescent dissolved organic matter",
+      "href": "s3://anonymous@bio230121-bucket01/vera4cast/scores/parquet/project_id=vera4cast/duration=P1D/variable=fDOM_QSU_mean/model_id=climatology?endpoint_override=renc.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@bio230121-bucket01/vera4cast/scores/parquet/project_id=vera4cast/duration=P1D/variable=fDOM_QSU_mean/model_id=climatology?endpoint_override=renc.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 oxygen % sat",
       "href": "s3://anonymous@bio230121-bucket01/vera4cast/scores/parquet/project_id=vera4cast/duration=P1D/variable=DOsat_percent_mean/model_id=climatology?endpoint_override=renc.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@bio230121-bucket01/vera4cast/scores/parquet/project_id=vera4cast/duration=P1D/variable=DOsat_percent_mean/model_id=climatology?endpoint_override=renc.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 Bloom_binary",
+      "href": "s3://anonymous@bio230121-bucket01/vera4cast/scores/parquet/project_id=vera4cast/duration=P1D/variable=Bloom_binary_mean/model_id=climatology?endpoint_override=renc.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@bio230121-bucket01/vera4cast/scores/parquet/project_id=vera4cast/duration=P1D/variable=Bloom_binary_mean/model_id=climatology?endpoint_override=renc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n       \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n"
     }
   }
 }
diff --git a/catalog/scores/models/model_items/ecmwf_ifs04.json b/catalog/scores/models/model_items/ecmwf_ifs04.json
@@ -22,7 +22,7 @@
   "properties": {
     "description": "\nmodel info: ECMWF IFS Ensemble weather model downloaded from open-meteo.com.  Since ECMWF IFS Ensemble does output solar radiation on open-meteo.com,  the solar radiation from GFS seamless is used.\n\nSites: fcre\n\nVariables: Daily Air temperature, Daily surface pressure, Daily Relative humdity, Daily Precipitation, Daily Wind speed",
     "start_datetime": "2023-10-14",
-    "end_datetime": "2024-02-09",
+    "end_datetime": "2024-02-10",
     "providers": [
       {
         "url": "pending",