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update catalog
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github-actions committed Sep 25, 2024
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2 changes: 1 addition & 1 deletion catalog/scores/Aquatics/Daily_Chlorophyll_a/models/climatology.json
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"properties": {
"title": "climatology",
"description": "All scores for the Daily_Chlorophyll_a variable for the climatology model. Information for the model is provided as follows: Historical DOY mean and sd. Assumes normal distribution.\n The model predicts this variable at the following sites: BARC, BLWA, CRAM, FLNT, LIRO, PRPO, SUGG, TOMB, PRLA, TOOK.\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": "2024-09-24T00:00:00Z",
"datetime": "2024-09-25T00:00:00Z",
"start_datetime": "2024-06-13T00:00:00Z",
"end_datetime": "2024-08-07T00:00:00Z",
"providers": [
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2 changes: 1 addition & 1 deletion catalog/scores/Aquatics/Daily_Chlorophyll_a/models/persistenceRW.json
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"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 from the fable package with ensembles used to represent uncertainty.\n The model predicts this variable at the following sites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK.\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": "2024-09-24T00:00:00Z",
"datetime": "2024-09-25T00:00:00Z",
"start_datetime": "2024-06-13T00:00:00Z",
"end_datetime": "2024-08-06T00:00:00Z",
"providers": [
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2 changes: 1 addition & 1 deletion catalog/scores/Aquatics/Daily_Chlorophyll_a/models/tg_arima.json
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"properties": {
"title": "tg_arima",
"description": "All scores for the Daily_Chlorophyll_a variable for the tg_arima model. Information for the model is provided as follows: The tg_arima model is an AutoRegressive Integrated Moving Average (ARIMA) model fit using\nthe function auto.arima() from the forecast package in R (Hyndman et al. 2023; Hyndman et al., 2008).\nThis is an empirical time series model with no covariates.\n The model predicts this variable at the following sites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK.\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": "2024-09-24T00:00:00Z",
"datetime": "2024-09-25T00:00:00Z",
"start_datetime": "2024-06-13T00:00:00Z",
"end_datetime": "2024-08-02T00:00:00Z",
"providers": [
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2 changes: 1 addition & 1 deletion catalog/scores/Aquatics/Daily_Chlorophyll_a/models/tg_ets.json
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"properties": {
"title": "tg_ets",
"description": "All scores for the Daily_Chlorophyll_a variable for the tg_ets model. Information for the model is provided as follows: The tg_ets model is an Error, Trend, Seasonal (ETS) model fit using the function ets() from the\nforecast package in R (Hyndman et al. 2023; Hyndman et al., 2008). This is an empirical time series\nmodel with no covariates..\n The model predicts this variable at the following sites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK.\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": "2024-09-24T00:00:00Z",
"datetime": "2024-09-25T00:00:00Z",
"start_datetime": "2024-06-13T00:00:00Z",
"end_datetime": "2024-08-02T00:00:00Z",
"providers": [
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2 changes: 1 addition & 1 deletion catalog/scores/Aquatics/Daily_Chlorophyll_a/models/tg_tbats.json
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"properties": {
"title": "tg_tbats",
"description": "All scores for the Daily_Chlorophyll_a variable for the tg_tbats model. Information for the model is provided as follows: The tg_tbats model is a TBATS (Trigonometric seasonality, Box-Cox transformation, ARMA\nerrors, Trend and Seasonal components) model fit using the function tbats() from the forecast package in\nR (Hyndman et al. 2023; Hyndman et al., 2008). This is an empirical time series model with no\ncovariates..\n The model predicts this variable at the following sites: SUGG, TOMB, TOOK, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO.\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": "2024-09-24T00:00:00Z",
"datetime": "2024-09-25T00:00:00Z",
"start_datetime": "2024-06-13T00:00:00Z",
"end_datetime": "2024-08-02T00:00:00Z",
"providers": [
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14 changes: 7 additions & 7 deletions catalog/scores/Aquatics/Daily_Dissolved_oxygen/collection.json
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{
"rel": "item",
"type": "application/json",
"href": "./models/AquaticEcosystemsOxygen.json"
"href": "./models/persistenceRW.json"
},
{
"rel": "item",
"type": "application/json",
"href": "./models/climatology.json"
"href": "./models/tg_arima.json"
},
{
"rel": "item",
"type": "application/json",
"href": "./models/tg_tbats.json"
"href": "./models/tg_ets.json"
},
{
"rel": "item",
"type": "application/json",
"href": "./models/persistenceRW.json"
"href": "./models/tg_tbats.json"
},
{
"rel": "item",
"type": "application/json",
"href": "./models/tg_arima.json"
"href": "./models/hotdeck.json"
},
{
"rel": "item",
"type": "application/json",
"href": "./models/tg_ets.json"
"href": "./models/AquaticEcosystemsOxygen.json"
},
{
"rel": "item",
"type": "application/json",
"href": "./models/hotdeck.json"
"href": "./models/climatology.json"
},
{
"rel": "parent",
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2 changes: 1 addition & 1 deletion catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/AquaticEcosystemsOxygen.json
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"properties": {
"title": "AquaticEcosystemsOxygen",
"description": "All scores for the Daily_Dissolved_oxygen variable for the AquaticEcosystemsOxygen model. Information for the model is provided as follows: Used a Bayesian Dynamic Linear Model using the fit_dlm function from the ecoforecastR package.\n The model predicts this variable at the following sites: WLOU.\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": "2024-09-24T00:00:00Z",
"datetime": "2024-09-25T00:00:00Z",
"start_datetime": "2024-06-13T00:00:00Z",
"end_datetime": "2024-07-31T00:00:00Z",
"providers": [
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2 changes: 1 addition & 1 deletion catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/climatology.json
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"properties": {
"title": "climatology",
"description": "All scores for the Daily_Dissolved_oxygen variable for the climatology model. Information for the model is provided as follows: Historical DOY mean and sd. Assumes normal distribution.\n The model predicts this variable at the following sites: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, POSE, PRIN, PRPO, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, PRLA, OKSR, TOOK.\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": "2024-09-24T00:00:00Z",
"datetime": "2024-09-25T00:00:00Z",
"start_datetime": "2024-06-13T00:00:00Z",
"end_datetime": "2024-08-07T00:00:00Z",
"providers": [
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2 changes: 1 addition & 1 deletion catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/hotdeck.json
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"properties": {
"title": "hotdeck",
"description": "All scores for the Daily_Dissolved_oxygen variable for the hotdeck model. Information for the model is provided as follows: Uses a hot deck approach: - Take the latest observation/forecast. - Past observations from around the same window of the season are collected. - Values close to the latest observation/forecast are collected. - One of these is randomly sampled. - Its \"tomorrow\" observation is used as the forecast. - Repeat until forecast at step h..\n The model predicts this variable at the following sites: SUGG, SYCA, BARC, BIGC, BLDE, CRAM, KING, LEWI, LIRO, MAYF, MCRA, POSE, PRIN, REDB.\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": "2024-09-24T00:00:00Z",
"datetime": "2024-09-25T00:00:00Z",
"start_datetime": "2024-06-13T00:00:00Z",
"end_datetime": "2024-08-02T00:00:00Z",
"providers": [
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24 changes: 12 additions & 12 deletions catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/persistenceRW.json
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Expand Up @@ -9,6 +9,10 @@
"geometry": {
"type": "MultiPoint",
"coordinates": [
[-88.1589, 31.8534],
[-149.6106, 68.6307],
[-84.2793, 35.9574],
[-105.9154, 39.8914],
[-102.4471, 39.7582],
[-82.0084, 29.676],
[-119.2575, 37.0597],
Expand Down Expand Up @@ -38,17 +42,13 @@
[-111.7979, 40.7839],
[-82.0177, 29.6878],
[-111.5081, 33.751],
[-119.0274, 36.9559],
[-88.1589, 31.8534],
[-149.6106, 68.6307],
[-84.2793, 35.9574],
[-105.9154, 39.8914]
[-119.0274, 36.9559]
]
},
"properties": {
"title": "persistenceRW",
"description": "All scores for the Daily_Dissolved_oxygen variable for the persistenceRW model. Information for the model is provided as follows: Random walk from the fable package with ensembles used to represent uncertainty.\n The model predicts this variable at the following sites: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU.\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": "2024-09-24T00:00:00Z",
"description": "All scores for the Daily_Dissolved_oxygen variable for the persistenceRW model. Information for the model is provided as follows: Random walk from the fable package with ensembles used to represent uncertainty.\n The model predicts this variable at the following sites: TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR.\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": "2024-09-25T00:00:00Z",
"start_datetime": "2024-06-13T00:00:00Z",
"end_datetime": "2024-08-06T00:00:00Z",
"providers": [
Expand Down Expand Up @@ -79,6 +79,10 @@
"oxygen",
"Daily",
"P1D",
"TOMB",
"TOOK",
"WALK",
"WLOU",
"ARIK",
"BARC",
"BIGC",
Expand Down Expand Up @@ -108,11 +112,7 @@
"REDB",
"SUGG",
"SYCA",
"TECR",
"TOMB",
"TOOK",
"WALK",
"WLOU"
"TECR"
],
"table:columns": [
{
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56 changes: 28 additions & 28 deletions catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/tg_arima.json
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"geometry": {
"type": "MultiPoint",
"coordinates": [
[-78.1473, 38.8943],
[-97.7823, 33.3785],
[-99.1139, 47.1591],
[-99.2531, 47.1298],
[-111.7979, 40.7839],
[-82.0177, 29.6878],
[-111.5081, 33.751],
[-119.0274, 36.9559],
[-88.1589, 31.8534],
[-149.6106, 68.6307],
[-84.2793, 35.9574],
[-105.9154, 39.8914],
[-102.4471, 39.7582],
[-82.0084, 29.676],
[-119.2575, 37.0597],
Expand All @@ -42,13 +30,25 @@
[-87.4077, 32.9604],
[-96.443, 38.9459],
[-122.1655, 44.2596],
[-149.143, 68.6698]
[-149.143, 68.6698],
[-78.1473, 38.8943],
[-97.7823, 33.3785],
[-99.1139, 47.1591],
[-99.2531, 47.1298],
[-111.7979, 40.7839],
[-82.0177, 29.6878],
[-111.5081, 33.751],
[-119.0274, 36.9559],
[-88.1589, 31.8534],
[-149.6106, 68.6307],
[-84.2793, 35.9574],
[-105.9154, 39.8914]
]
},
"properties": {
"title": "tg_arima",
"description": "All scores for the Daily_Dissolved_oxygen variable for the tg_arima model. Information for the model is provided as follows: The tg_arima model is an AutoRegressive Integrated Moving Average (ARIMA) model fit using\nthe function auto.arima() from the forecast package in R (Hyndman et al. 2023; Hyndman et al., 2008).\nThis is an empirical time series model with no covariates.\n The model predicts this variable at the following sites: POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR.\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": "2024-09-24T00:00:00Z",
"description": "All scores for the Daily_Dissolved_oxygen variable for the tg_arima model. Information for the model is provided as follows: The tg_arima model is an AutoRegressive Integrated Moving Average (ARIMA) model fit using\nthe function auto.arima() from the forecast package in R (Hyndman et al. 2023; Hyndman et al., 2008).\nThis is an empirical time series model with no covariates.\n The model predicts this variable at the following sites: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU.\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": "2024-09-25T00:00:00Z",
"start_datetime": "2024-06-13T00:00:00Z",
"end_datetime": "2024-08-02T00:00:00Z",
"providers": [
Expand Down Expand Up @@ -79,18 +79,6 @@
"oxygen",
"Daily",
"P1D",
"POSE",
"PRIN",
"PRLA",
"PRPO",
"REDB",
"SUGG",
"SYCA",
"TECR",
"TOMB",
"TOOK",
"WALK",
"WLOU",
"ARIK",
"BARC",
"BIGC",
Expand All @@ -112,7 +100,19 @@
"MAYF",
"MCDI",
"MCRA",
"OKSR"
"OKSR",
"POSE",
"PRIN",
"PRLA",
"PRPO",
"REDB",
"SUGG",
"SYCA",
"TECR",
"TOMB",
"TOOK",
"WALK",
"WLOU"
],
"table:columns": [
{
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