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update catalog
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github-actions committed Dec 2, 2024
1 parent d4a4da2 commit e0e6a40
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Showing 7 changed files with 26 additions and 26 deletions.
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"interval": [
[
"2024-02-07T00:00:00Z",
"2025-01-04T00:00:00Z"
"2025-01-05T00:00:00Z"
]
]
}
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"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": "2024-11-30",
"updated": "2024-12-01",
"datetime": "2024-12-01",
"updated": "2024-12-02",
"start_datetime": "2024-02-13T00:00:00Z",
"end_datetime": "2025-01-02T00:00:00Z",
"end_datetime": "2025-01-03T00:00:00Z",
"providers": [
{
"url": "https://code.usgs.gov/wma/proxies/habs/habs-forecast-chl-usgsrc4cast/-/blob/main/2_model/src/chla_models.R?ref_type=heads",
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"geometry": {
"type": "MultiPoint",
"coordinates": [
[-90.6077, 39.6328],
[-122.2974, 44.7538],
[-122.5773, 45.3793],
[-122.6692, 45.5175],
[-75.0574, 41.7567],
[-74.7781, 40.2217],
[-88.6142, 41.2999],
[-88.2515, 42.31],
[-88.984, 41.3248],
[-89.3562, 41.1073]
[-89.3562, 41.1073],
[-90.6077, 39.6328],
[-122.2974, 44.7538],
[-122.5773, 45.3793],
[-122.6692, 45.5175]
]
},
"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-05586300, USGS-14181500, USGS-14211010, USGS-14211720, USGS-01427510, USGS-01463500, USGS-05543010, USGS-05549500, USGS-05553700, USGS-05558300.\n Summaries are the forecasts statistics of the raw forecasts (i.e., mean, median, confidence intervals)",
"datetime": "2024-11-30",
"updated": "2024-12-01",
"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": "2024-12-01",
"updated": "2024-12-02",
"start_datetime": "2024-09-26T00:00:00Z",
"end_datetime": "2024-12-29T00:00:00Z",
"end_datetime": "2024-12-30T00:00:00Z",
"providers": [
{
"url": "https://projects.ecoforecast.org/neon4cast-ci/",
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"chla",
"Daily",
"P1D",
"USGS-05586300",
"USGS-14181500",
"USGS-14211010",
"USGS-14211720",
"USGS-01427510",
"USGS-01463500",
"USGS-05543010",
"USGS-05549500",
"USGS-05553700",
"USGS-05558300"
"USGS-05558300",
"USGS-05586300",
"USGS-14181500",
"USGS-14211010",
"USGS-14211720"
],
"table:columns": [
{
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"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-05553700, USGS-05558300, USGS-05586300, USGS-14181500, USGS-14211010, USGS-14211720, USGS-05549500.\n Summaries are the forecasts statistics of the raw forecasts (i.e., mean, median, confidence intervals)",
"datetime": "2024-11-30",
"updated": "2024-12-01",
"datetime": "2024-12-01",
"updated": "2024-12-02",
"start_datetime": "2024-02-07T00:00:00Z",
"end_datetime": "2025-01-04T00:00:00Z",
"end_datetime": "2025-01-05T00:00:00Z",
"providers": [
{
"url": "https://github.com/eco4cast/usgsrc4cast-ci/blob/main/baseline_models/models/aquatics_climatology.R",
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"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": "2024-11-30",
"updated": "2024-12-01",
"datetime": "2024-12-01",
"updated": "2024-12-02",
"start_datetime": "2024-02-07T00:00:00Z",
"end_datetime": "2025-01-03T00:00:00Z",
"end_datetime": "2025-01-04T00:00:00Z",
"providers": [
{
"url": "https://github.com/eco4cast/usgsrc4cast-ci/blob/main/baseline_models/models/aquatics_persistenceRW.R",
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2 changes: 1 addition & 1 deletion catalog/summaries/aquatics/collection.json
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"interval": [
[
"2024-02-07T00:00:00Z",
"2025-01-04T00:00:00Z"
"2025-01-05T00:00:00Z"
]
]
}
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2 changes: 1 addition & 1 deletion catalog/summaries/collection.json
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"interval": [
[
"2024-02-07T00:00:00Z",
"2025-01-04T00:00:00Z"
"2025-01-05T00:00:00Z"
]
]
}
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