update catalog

catalog/forecasts/Biological/Daily_Bloom_binary/collection.json

@@ -93,7 +93,7 @@
       "interval": [
         [
           "2023-10-01T00:00:00Z",
-          "2024-03-21T00:00:00Z"
+          "2024-03-22T00:00:00Z"
         ]
       ]
     }

catalog/forecasts/Biological/Daily_Chlorophyll-a/collection.json

@@ -98,7 +98,7 @@
       "interval": [
         [
           "2023-10-01T00:00:00Z",
-          "2024-03-21T00:00:00Z"
+          "2024-03-22T00:00:00Z"
         ]
       ]
     }

catalog/forecasts/Chemical/Daily_oxygen_concentration/collection.json

@@ -78,7 +78,7 @@
       "interval": [
         [
           "2023-10-14T00:00:00Z",
-          "2024-03-21T00:00:00Z"
+          "2024-03-22T00:00:00Z"
         ]
       ]
     }

catalog/forecasts/Physical/Daily_Secchi/collection.json

@@ -78,7 +78,7 @@
       "interval": [
         [
           "2023-10-14T00:00:00Z",
-          "2024-03-21T00:00:00Z"
+          "2024-03-22T00:00:00Z"
         ]
       ]
     }

catalog/forecasts/Physical/Daily_Water_temperature/collection.json

@@ -113,7 +113,7 @@
       "interval": [
         [
           "2023-09-21T00:00:00Z",
-          "2024-03-21T00:00:00Z"
+          "2024-03-22T00:00:00Z"
         ]
       ]
     }

catalog/forecasts/Physical/Hourly_Water_temperature/collection.json

@@ -113,7 +113,7 @@
       "interval": [
         [
           "2023-09-21T00:00:00Z",
-          "2024-03-21T00:00:00Z"
+          "2024-03-22T00:00:00Z"
         ]
       ]
     }

catalog/forecasts/models/model_items/climatology.json

@@ -24,7 +24,7 @@
   "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 Inflow discharge, Daily Water_temperature, Daily oxygen_concentration, Daily oxygen % sat, Daily Secchi, Daily fluorescent dissolved organic matter, Daily Bloom_binary",
     "start_datetime": "2023-09-21",
-    "end_datetime": "2024-03-21",
+    "end_datetime": "2024-03-22",
     "providers": [
       {
         "url": "pending",

catalog/forecasts/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 surface pressure, Daily Relative humdity, Daily Precipitation, Daily Wind speed, Daily Air temperature",
     "start_datetime": "2023-10-14",
-    "end_datetime": "2024-02-23",
+    "end_datetime": "2024-02-24",
     "providers": [
       {
         "url": "pending",

catalog/forecasts/models/model_items/fableARIMA.json

@@ -23,7 +23,7 @@
   "properties": {
     "description": "\nmodel info: ARIMA fit using the ARIMA() function in the fable R package\n\nSites: bvre, fcre\n\nVariables: Daily Bloom_binary, Daily Chlorophyll-a",
     "start_datetime": "2023-10-01",
-    "end_datetime": "2024-03-20",
+    "end_datetime": "2024-03-21",
     "providers": [
       {
         "url": "pending",

catalog/forecasts/models/model_items/fableETS.json

@@ -23,7 +23,7 @@
   "properties": {
     "description": "\nmodel info: fable package exponential smoothing model fable::ETS()\n\nSites: bvre, fcre\n\nVariables: Daily Bloom_binary, Daily Chlorophyll-a",
     "start_datetime": "2023-10-01",
-    "end_datetime": "2024-03-20",
+    "end_datetime": "2024-03-21",
     "providers": [
       {
         "url": "pending",

catalog/forecasts/models/model_items/fableNNETAR.json

@@ -23,7 +23,7 @@
   "properties": {
     "description": "\nmodel info: autoregressive neural net fit using the NNETAR() function in the fable R package\n\nSites: bvre, fcre\n\nVariables: Daily Bloom_binary, Daily Chlorophyll-a",
     "start_datetime": "2023-10-01",
-    "end_datetime": "2024-03-20",
+    "end_datetime": "2024-03-21",
     "providers": [
       {
         "url": "pending",

catalog/forecasts/models/model_items/flareGOTM.json

@@ -22,7 +22,7 @@
   "properties": {
     "description": "\nmodel info: FLARE-GOTM combines the 1D hydrodynamic process-based model GOTM, a data assimilation algorithm, and NOAA weather data to forecast water column temperatures.\n\nSites: fcre\n\nVariables: Daily NA",
     "start_datetime": "2024-01-21",
-    "end_datetime": "2024-03-15",
+    "end_datetime": "2024-03-16",
     "providers": [
       {
         "url": "pending",

catalog/forecasts/models/model_items/flareSimstrat.json

@@ -22,7 +22,7 @@
   "properties": {
     "description": "\nmodel info: FLARE-Simstrat combines the 1D process-based model Simstrat, a data assimilation algorithm (EnKF) and NOAA driver weather data to make predictions of water column temperatures.\n\nSites: fcre\n\nVariables: Daily NA",
     "start_datetime": "2024-01-21",
-    "end_datetime": "2024-03-15",
+    "end_datetime": "2024-03-16",
     "providers": [
       {
         "url": "pending",

catalog/forecasts/models/model_items/gem_global.json

@@ -22,7 +22,7 @@
   "properties": {
     "description": "\nmodel info: Candian GEM Global Ensemble model downloaded from open-meteo.com\n\nSites: fcre\n\nVariables: Daily Air temperature, Daily surface pressure, Daily Relative humdity, Daily Precipitation, Daily Shortwave radiation, Daily Wind speed",
     "start_datetime": "2023-10-14",
-    "end_datetime": "2024-03-16",
+    "end_datetime": "2024-03-17",
     "providers": [
       {
         "url": "pending",

catalog/forecasts/models/model_items/gfs_seamless.json

@@ -22,7 +22,7 @@
   "properties": {
     "description": "\nmodel info: NOAA Global Ensemble Forecasting Model downloaded using the https://open-meteo.com.  The seamless model combines the 0.25 and 0.5 degree resolution products to get a full 35-day ahead forecast\n\nSites: fcre\n\nVariables: Daily Air temperature, Daily surface pressure, Daily Relative humdity, Daily Precipitation, Daily Shortwave radiation, Daily Wind speed",
     "start_datetime": "2023-10-13",
-    "end_datetime": "2024-03-19",
+    "end_datetime": "2024-03-20",
     "providers": [
       {
         "url": "pending",

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": "2024-03-17",
+    "end_datetime": "2024-03-18",
     "providers": [
       {
         "url": "pending",

catalog/forecasts/models/model_items/historic_mean.json

@@ -24,7 +24,7 @@
   "properties": {
     "description": "\nmodel info: Calculates the mean state from the historic timeseries and applies this to the forecast horizon. The model uses the fable R package MEAN() function to fit this model, with the uncertainty generated from the residuals of the fitted model.\n\nSites: tubr, fcre, bvre\n\nVariables: Daily Inflow discharge, Daily Water_temperature, Daily oxygen_concentration, Daily oxygen % sat, Daily Chlorophyll-a, Daily Secchi, Daily Air temperature, Daily fluorescent dissolved organic matter, Daily Bloom_binary",
     "start_datetime": "2024-02-06",
-    "end_datetime": "2024-03-19",
+    "end_datetime": "2024-03-20",
     "providers": [
       {
         "url": "pending",

catalog/forecasts/models/model_items/icon_seamless.json

@@ -22,7 +22,7 @@
   "properties": {
     "description": "\nmodel info: The DWD Icon EPS Seamless model downloaded from open-meteo.com\n\nSites: fcre\n\nVariables: Daily Air temperature, Daily surface pressure, Daily Relative humdity, Daily Precipitation, Daily Shortwave radiation, Daily Wind speed",
     "start_datetime": "2023-10-14",
-    "end_datetime": "2024-02-20",
+    "end_datetime": "2024-02-21",
     "providers": [
       {
         "url": "pending",

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": "2024-03-17",
+    "end_datetime": "2024-03-19",
     "providers": [
       {
         "url": "pending",

catalog/forecasts/models/model_items/monthly_mean.json

@@ -24,7 +24,7 @@
   "properties": {
     "description": "\nmodel info: This model calculates a monthly mean from the historic data and assigns this as the mean prediction for any day within that month. The standard deviation of the observations for that month is given as the standard deviation of the forecast.\n\nSites: fcre, tubr, bvre\n\nVariables: Daily Air temperature, Daily Inflow discharge, Daily Water_temperature, Daily oxygen_concentration, Daily oxygen % sat, Daily Chlorophyll-a, Daily Secchi, Daily fluorescent dissolved organic matter, Daily Bloom_binary",
     "start_datetime": "2024-02-06",
-    "end_datetime": "2024-03-21",
+    "end_datetime": "2024-03-22",
     "providers": [
       {
         "url": "pending",

catalog/forecasts/models/model_items/persistenceRW.json

@@ -24,7 +24,7 @@
   "properties": {
     "description": "\nmodel info: Random walk from the fable package with ensembles used to represent uncertainty\n\nSites: bvre, fcre, tubr\n\nVariables: Daily Water_temperature, Daily Chlorophyll-a, Daily Inflow discharge, Daily oxygen_concentration, Daily oxygen % sat, Daily Secchi, Daily Air temperature, Daily fluorescent dissolved organic matter, Daily Bloom_binary",
     "start_datetime": "2023-09-21",
-    "end_datetime": "2024-03-19",
+    "end_datetime": "2024-03-20",
     "providers": [
       {
         "url": "pending",

catalog/noaa_forecasts/Pseudo/collection.json

@@ -53,7 +53,7 @@
       "interval": [
         [
           "2020-09-25T00:00:00Z",
-          "2024-03-19T00:00:00Z"
+          "2024-03-20T00:00:00Z"
         ]
       ]
     }

catalog/noaa_forecasts/Stage1-stats/collection.json

@@ -53,7 +53,7 @@
       "interval": [
         [
           "2020-09-25T00:00:00Z",
-          "2024-03-19T00:00:00Z"
+          "2024-03-20T00:00:00Z"
         ]
       ]
     }

catalog/noaa_forecasts/Stage1/collection.json

@@ -53,7 +53,7 @@
       "interval": [
         [
           "2020-09-25T00:00:00Z",
-          "2024-03-19T00:00:00Z"
+          "2024-03-20T00:00:00Z"
         ]
       ]
     }

catalog/noaa_forecasts/Stage2/collection.json

@@ -53,7 +53,7 @@
       "interval": [
         [
           "2020-09-25T00:00:00Z",
-          "2024-03-19T00:00:00Z"
+          "2024-03-20T00:00:00Z"
         ]
       ]
     }

catalog/noaa_forecasts/Stage3/collection.json

@@ -53,7 +53,7 @@
       "interval": [
         [
           "2020-09-25T00:00:00Z",
-          "2024-03-19T00:00:00Z"
+          "2024-03-20T00:00:00Z"
         ]
       ]
     }

catalog/noaa_forecasts/collection.json

@@ -88,7 +88,7 @@
       "interval": [
         [
           "2020-09-25T00:00:00Z",
-          "2024-03-19T00:00:00Z"
+          "2024-03-20T00:00:00Z"
         ]
       ]
     }

catalog/summaries/Biological/Daily_Bloom_binary/collection.json

@@ -93,7 +93,7 @@
       "interval": [
         [
           "2023-10-01T00:00:00Z",
-          "2024-03-21T00:00:00Z"
+          "2024-03-22T00:00:00Z"
         ]
       ]
     }

catalog/summaries/Biological/Daily_Chlorophyll-a/collection.json

@@ -98,7 +98,7 @@
       "interval": [
         [
           "2023-10-01T00:00:00Z",
-          "2024-03-21T00:00:00Z"
+          "2024-03-22T00:00:00Z"
         ]
       ]
     }

catalog/summaries/Chemical/Daily_oxygen_concentration/collection.json

@@ -78,7 +78,7 @@
       "interval": [
         [
           "2023-10-14T00:00:00Z",
-          "2024-03-21T00:00:00Z"
+          "2024-03-22T00:00:00Z"
         ]
       ]
     }

catalog/summaries/Physical/Daily_Secchi/collection.json

@@ -78,7 +78,7 @@
       "interval": [
         [
           "2023-10-14T00:00:00Z",
-          "2024-03-21T00:00:00Z"
+          "2024-03-22T00:00:00Z"
         ]
       ]
     }

catalog/summaries/Physical/Daily_Water_temperature/collection.json

@@ -113,7 +113,7 @@
       "interval": [
         [
           "2023-09-21T00:00:00Z",
-          "2024-03-21T00:00:00Z"
+          "2024-03-22T00:00:00Z"
         ]
       ]
     }

catalog/summaries/Physical/Hourly_Water_temperature/collection.json

@@ -113,7 +113,7 @@
       "interval": [
         [
           "2023-09-21T00:00:00Z",
-          "2024-03-21T00:00:00Z"
+          "2024-03-22T00:00:00Z"
         ]
       ]
     }

catalog/summaries/models/model_items/Flow_cms_mean.json

@@ -189,13 +189,8 @@
     "3": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Inflow discharge",
-<<<<<<< HEAD
-      "href": "\"s3://anonymous@bio230121-bucket01/vera4cast/forecasts/summaries//parquet/project_id=vera4cast/duration=P1D/variable=Flow_cms_mean/model_id=Flow_cms_mean?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/forecasts/summaries//parquet/project_id=vera4cast/duration=P1D/variable=Flow_cms_mean/model_id=Flow_cms_mean?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"
-=======
       "href": "s3://anonymous@bio230121-bucket01/vera4cast/forecasts/summaries/project_id=vera4cast/duration=P1D/variable=Flow_cms_mean/model_id=Flow_cms_mean?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/forecasts/summaries/project_id=vera4cast/duration=P1D/variable=Flow_cms_mean/model_id=Flow_cms_mean?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"
->>>>>>> 23b36559025bbe97b5e989c3ae822d333bc17567
     }
   }
 }

catalog/summaries/models/model_items/TESTclimatology.json

@@ -190,13 +190,8 @@
     "3": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Water_temperature",
-<<<<<<< HEAD
-      "href": "\"s3://anonymous@bio230121-bucket01/vera4cast/forecasts/summaries//parquet/project_id=vera4cast/duration=P1D/variable=Temp_C_mean/model_id=TESTclimatology?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/forecasts/summaries//parquet/project_id=vera4cast/duration=P1D/variable=Temp_C_mean/model_id=TESTclimatology?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"
-=======
       "href": "s3://anonymous@bio230121-bucket01/vera4cast/forecasts/summaries/project_id=vera4cast/duration=P1D/variable=Temp_C_mean/model_id=TESTclimatology?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/forecasts/summaries/project_id=vera4cast/duration=P1D/variable=Temp_C_mean/model_id=TESTclimatology?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"
->>>>>>> 23b36559025bbe97b5e989c3ae822d333bc17567
     }
   }
 }

catalog/summaries/models/model_items/TempC_mean_example_forecast.json

@@ -189,13 +189,8 @@
     "3": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Water_temperature",
-<<<<<<< HEAD
-      "href": "\"s3://anonymous@bio230121-bucket01/vera4cast/forecasts/summaries//parquet/project_id=vera4cast/duration=P1D/variable=Temp_C_mean/model_id=TempC_mean_example_forecast?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/forecasts/summaries//parquet/project_id=vera4cast/duration=P1D/variable=Temp_C_mean/model_id=TempC_mean_example_forecast?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"
-=======
       "href": "s3://anonymous@bio230121-bucket01/vera4cast/forecasts/summaries/project_id=vera4cast/duration=P1D/variable=Temp_C_mean/model_id=TempC_mean_example_forecast?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/forecasts/summaries/project_id=vera4cast/duration=P1D/variable=Temp_C_mean/model_id=TempC_mean_example_forecast?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"
->>>>>>> 23b36559025bbe97b5e989c3ae822d333bc17567
     }
   }
 }

catalog/summaries/models/model_items/Temp_C_mean.json

@@ -189,13 +189,8 @@
     "3": {
       "type": "application/x-parquet",
       "title": "Database Access for Daily Water_temperature",
-<<<<<<< HEAD
-      "href": "\"s3://anonymous@bio230121-bucket01/vera4cast/forecasts/summaries//parquet/project_id=vera4cast/duration=P1D/variable=Temp_C_mean/model_id=Temp_C_mean?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/forecasts/summaries//parquet/project_id=vera4cast/duration=P1D/variable=Temp_C_mean/model_id=Temp_C_mean?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"
-=======
       "href": "s3://anonymous@bio230121-bucket01/vera4cast/forecasts/summaries/project_id=vera4cast/duration=P1D/variable=Temp_C_mean/model_id=Temp_C_mean?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/forecasts/summaries/project_id=vera4cast/duration=P1D/variable=Temp_C_mean/model_id=Temp_C_mean?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"
->>>>>>> 23b36559025bbe97b5e989c3ae822d333bc17567
     }
   }
 }