From 9f0c7514fa086a327b2b49f394c0495b009126f1 Mon Sep 17 00:00:00 2001 From: github-actions Date: Thu, 26 Sep 2024 23:43:58 +0000 Subject: [PATCH] update catalog --- .../Daily_Chlorophyll_a/collection.json | 10 +- .../models/climatology.json | 2 +- .../models/persistenceRW.json | 2 +- .../Daily_Chlorophyll_a/models/tg_arima.json | 2 +- .../Daily_Chlorophyll_a/models/tg_ets.json | 2 +- .../Daily_Chlorophyll_a/models/tg_tbats.json | 20 ++-- .../Daily_Dissolved_oxygen/collection.json | 14 +-- .../models/AquaticEcosystemsOxygen.json | 2 +- .../models/climatology.json | 32 +++--- .../models/hotdeck.json | 16 +-- .../models/persistenceRW.json | 24 ++--- .../models/tg_arima.json | 2 +- .../Daily_Dissolved_oxygen/models/tg_ets.json | 2 +- .../models/tg_tbats.json | 2 +- .../Daily_Water_temperature/collection.json | 28 ++--- .../models/GAM_air_wind.json | 2 +- .../models/GLEON_JRabaey_temp_physics.json | 2 +- .../models/GLEON_lm_lag_1day.json | 2 +- .../models/baseline_ensemble.json | 40 +++---- .../models/bee_bake_RFModel_2024.json | 2 +- .../models/climatology.json | 2 +- .../models/fARIMA_clim_ensemble.json | 2 +- .../models/fTSLM_lag.json | 2 +- .../models/flareGLM.json | 2 +- .../models/flareGLM_noDA.json | 20 ++-- .../models/hotdeck.json | 2 +- .../models/lm_AT_WTL_WS.json | 2 +- .../models/mkricheldorf_w_lag.json | 2 +- .../models/mlp1_wtempforecast_LF.json | 2 +- .../models/persistenceRW.json | 32 +++--- .../models/tg_arima.json | 2 +- .../models/tg_ets.json | 48 ++++----- .../models/tg_tbats.json | 2 +- .../models/zimmerman_proj1.json | 2 +- .../models/tg_arima.json | 28 ++--- .../models/tg_ets.json | 2 +- .../models/tg_tbats.json | 2 +- .../models/tg_arima.json | 2 +- .../models/tg_ets.json | 2 +- .../models/tg_tbats.json | 2 +- .../collection.json | 12 +-- .../models/ChlorophyllCrusaders.json | 2 +- .../models/climatology.json | 2 +- .../models/persistenceRW.json | 68 ++++++------ .../models/tg_arima.json | 100 +++++++++--------- .../models/tg_ets.json | 28 ++--- .../models/tg_tbats.json | 24 ++--- .../collection.json | 12 +-- .../models/baseline_ensemble.json | 28 ++--- .../models/climatology.json | 68 ++++++------ .../models/persistenceRW.json | 64 +++++------ .../models/tg_arima.json | 60 +++++------ .../models/tg_ets.json | 2 +- .../models/tg_tbats.json | 2 +- .../collection.json | 8 +- .../models/bookcast_forest.json | 2 +- .../models/climatology.json | 60 +++++------ .../models/persistenceRW.json | 20 ++-- .../models/tg_arima.json | 2 +- .../models/tg_ets.json | 96 ++++++++--------- .../models/tg_tbats.json | 2 +- .../models/climatology.json | 52 ++++----- .../models/tg_arima.json | 24 ++--- .../Daily_latent_heat_flux/models/tg_ets.json | 64 +++++------ .../models/tg_tbats.json | 2 +- 65 files changed, 586 insertions(+), 586 deletions(-) diff --git a/catalog/scores/Aquatics/Daily_Chlorophyll_a/collection.json b/catalog/scores/Aquatics/Daily_Chlorophyll_a/collection.json index 77f623ff8b..70f69c2272 100644 --- a/catalog/scores/Aquatics/Daily_Chlorophyll_a/collection.json +++ b/catalog/scores/Aquatics/Daily_Chlorophyll_a/collection.json @@ -8,11 +8,6 @@ ], "type": "Collection", "links": [ - { - "rel": "item", - "type": "application/json", - "href": "./models/tg_tbats.json" - }, { "rel": "item", "type": "application/json", @@ -33,6 +28,11 @@ "type": "application/json", "href": "./models/tg_ets.json" }, + { + "rel": "item", + "type": "application/json", + "href": "./models/tg_tbats.json" + }, { "rel": "parent", "type": "application/json", diff --git a/catalog/scores/Aquatics/Daily_Chlorophyll_a/models/climatology.json b/catalog/scores/Aquatics/Daily_Chlorophyll_a/models/climatology.json index cf4882ca53..bae81a2196 100644 --- a/catalog/scores/Aquatics/Daily_Chlorophyll_a/models/climatology.json +++ b/catalog/scores/Aquatics/Daily_Chlorophyll_a/models/climatology.json @@ -24,7 +24,7 @@ "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": "2024-09-25T00:00:00Z", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-07T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Chlorophyll_a/models/persistenceRW.json b/catalog/scores/Aquatics/Daily_Chlorophyll_a/models/persistenceRW.json index d1cffa2736..00935f2c20 100644 --- a/catalog/scores/Aquatics/Daily_Chlorophyll_a/models/persistenceRW.json +++ b/catalog/scores/Aquatics/Daily_Chlorophyll_a/models/persistenceRW.json @@ -24,7 +24,7 @@ "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": "2024-09-25T00:00:00Z", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-06T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Chlorophyll_a/models/tg_arima.json b/catalog/scores/Aquatics/Daily_Chlorophyll_a/models/tg_arima.json index 721e7adf69..7b5e672d82 100644 --- a/catalog/scores/Aquatics/Daily_Chlorophyll_a/models/tg_arima.json +++ b/catalog/scores/Aquatics/Daily_Chlorophyll_a/models/tg_arima.json @@ -24,7 +24,7 @@ "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": "2024-09-25T00:00:00Z", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-02T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Chlorophyll_a/models/tg_ets.json b/catalog/scores/Aquatics/Daily_Chlorophyll_a/models/tg_ets.json index 3e6b66e240..69736442c0 100644 --- a/catalog/scores/Aquatics/Daily_Chlorophyll_a/models/tg_ets.json +++ b/catalog/scores/Aquatics/Daily_Chlorophyll_a/models/tg_ets.json @@ -24,7 +24,7 @@ "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": "2024-09-25T00:00:00Z", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-02T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Chlorophyll_a/models/tg_tbats.json b/catalog/scores/Aquatics/Daily_Chlorophyll_a/models/tg_tbats.json index bec5bc0d7f..efcd80becd 100644 --- a/catalog/scores/Aquatics/Daily_Chlorophyll_a/models/tg_tbats.json +++ b/catalog/scores/Aquatics/Daily_Chlorophyll_a/models/tg_tbats.json @@ -9,22 +9,22 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-82.0177, 29.6878], - [-88.1589, 31.8534], - [-149.6106, 68.6307], [-82.0084, 29.676], [-87.7982, 32.5415], [-89.4737, 46.2097], [-84.4374, 31.1854], [-89.7048, 45.9983], [-99.1139, 47.1591], - [-99.2531, 47.1298] + [-99.2531, 47.1298], + [-82.0177, 29.6878], + [-88.1589, 31.8534], + [-149.6106, 68.6307] ] }, "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": "2024-09-25T00:00:00Z", + "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: 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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-02T00:00:00Z", "providers": [ @@ -55,16 +55,16 @@ "chla", "Daily", "P1D", - "SUGG", - "TOMB", - "TOOK", "BARC", "BLWA", "CRAM", "FLNT", "LIRO", "PRLA", - "PRPO" + "PRPO", + "SUGG", + "TOMB", + "TOOK" ], "table:columns": [ { diff --git a/catalog/scores/Aquatics/Daily_Dissolved_oxygen/collection.json b/catalog/scores/Aquatics/Daily_Dissolved_oxygen/collection.json index bd15b767da..0e5676a1f8 100644 --- a/catalog/scores/Aquatics/Daily_Dissolved_oxygen/collection.json +++ b/catalog/scores/Aquatics/Daily_Dissolved_oxygen/collection.json @@ -11,37 +11,37 @@ { "rel": "item", "type": "application/json", - "href": "./models/persistenceRW.json" + "href": "./models/climatology.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/persistenceRW.json" }, { "rel": "item", "type": "application/json", - "href": "./models/tg_tbats.json" + "href": "./models/AquaticEcosystemsOxygen.json" }, { "rel": "item", "type": "application/json", - "href": "./models/hotdeck.json" + "href": "./models/tg_ets.json" }, { "rel": "item", "type": "application/json", - "href": "./models/AquaticEcosystemsOxygen.json" + "href": "./models/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "./models/climatology.json" + "href": "./models/tg_arima.json" }, { "rel": "parent", diff --git a/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/AquaticEcosystemsOxygen.json b/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/AquaticEcosystemsOxygen.json index de7ed6b899..212fd8cd9e 100644 --- a/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/AquaticEcosystemsOxygen.json +++ b/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/AquaticEcosystemsOxygen.json @@ -15,7 +15,7 @@ "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": "2024-09-25T00:00:00Z", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-07-31T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/climatology.json b/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/climatology.json index ea189842ad..f21083c6eb 100644 --- a/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/climatology.json +++ b/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/climatology.json @@ -9,10 +9,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-102.4471, 39.7582], - [-82.0084, 29.676], - [-119.2575, 37.0597], - [-110.5871, 44.9501], [-96.6242, 34.4442], [-87.7982, 32.5415], [-147.504, 65.1532], @@ -32,23 +28,27 @@ [-122.1655, 44.2596], [-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], - [-99.1139, 47.1591], - [-149.143, 68.6698], - [-149.6106, 68.6307] + [-102.4471, 39.7582], + [-82.0084, 29.676], + [-119.2575, 37.0597], + [-110.5871, 44.9501], + [-149.143, 68.6698] ] }, "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": "2024-09-25T00:00:00Z", + "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: BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, TOOK, WALK, WLOU, ARIK, BARC, BIGC, BLDE, 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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-07T00:00:00Z", "providers": [ @@ -79,10 +79,6 @@ "oxygen", "Daily", "P1D", - "ARIK", - "BARC", - "BIGC", - "BLDE", "BLUE", "BLWA", "CARI", @@ -102,17 +98,21 @@ "MCRA", "POSE", "PRIN", + "PRLA", "PRPO", "REDB", "SUGG", "SYCA", "TECR", "TOMB", + "TOOK", "WALK", "WLOU", - "PRLA", - "OKSR", - "TOOK" + "ARIK", + "BARC", + "BIGC", + "BLDE", + "OKSR" ], "table:columns": [ { diff --git a/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/hotdeck.json b/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/hotdeck.json index 4181685684..dd818fc417 100644 --- a/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/hotdeck.json +++ b/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/hotdeck.json @@ -9,8 +9,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-82.0177, 29.6878], - [-111.5081, 33.751], [-82.0084, 29.676], [-119.2575, 37.0597], [-110.5871, 44.9501], @@ -22,13 +20,15 @@ [-122.1655, 44.2596], [-78.1473, 38.8943], [-97.7823, 33.3785], - [-111.7979, 40.7839] + [-111.7979, 40.7839], + [-82.0177, 29.6878], + [-111.5081, 33.751] ] }, "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": "2024-09-25T00:00:00Z", + "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: BARC, BIGC, BLDE, CRAM, KING, LEWI, LIRO, MAYF, MCRA, POSE, PRIN, REDB, SUGG, SYCA.\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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-02T00:00:00Z", "providers": [ @@ -59,8 +59,6 @@ "oxygen", "Daily", "P1D", - "SUGG", - "SYCA", "BARC", "BIGC", "BLDE", @@ -72,7 +70,9 @@ "MCRA", "POSE", "PRIN", - "REDB" + "REDB", + "SUGG", + "SYCA" ], "table:columns": [ { diff --git a/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/persistenceRW.json b/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/persistenceRW.json index 559116d4da..49250e4dc2 100644 --- a/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/persistenceRW.json +++ b/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/persistenceRW.json @@ -9,10 +9,6 @@ "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], @@ -42,13 +38,17 @@ [-111.7979, 40.7839], [-82.0177, 29.6878], [-111.5081, 33.751], - [-119.0274, 36.9559] + [-119.0274, 36.9559], + [-88.1589, 31.8534], + [-149.6106, 68.6307], + [-84.2793, 35.9574], + [-105.9154, 39.8914] ] }, "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: 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", + "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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-06T00:00:00Z", "providers": [ @@ -79,10 +79,6 @@ "oxygen", "Daily", "P1D", - "TOMB", - "TOOK", - "WALK", - "WLOU", "ARIK", "BARC", "BIGC", @@ -112,7 +108,11 @@ "REDB", "SUGG", "SYCA", - "TECR" + "TECR", + "TOMB", + "TOOK", + "WALK", + "WLOU" ], "table:columns": [ { diff --git a/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/tg_arima.json b/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/tg_arima.json index 583ff0fc89..514af0103e 100644 --- a/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/tg_arima.json +++ b/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/tg_arima.json @@ -48,7 +48,7 @@ "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: 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", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-02T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/tg_ets.json b/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/tg_ets.json index 6dac787981..7ec9fc5270 100644 --- a/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/tg_ets.json +++ b/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/tg_ets.json @@ -48,7 +48,7 @@ "properties": { "title": "tg_ets", "description": "All scores for the Daily_Dissolved_oxygen 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: LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, 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.\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", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-02T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/tg_tbats.json b/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/tg_tbats.json index 3c0aa46b06..7032255b9b 100644 --- a/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/tg_tbats.json +++ b/catalog/scores/Aquatics/Daily_Dissolved_oxygen/models/tg_tbats.json @@ -48,7 +48,7 @@ "properties": { "title": "tg_tbats", "description": "All scores for the Daily_Dissolved_oxygen 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: 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", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-02T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/collection.json b/catalog/scores/Aquatics/Daily_Water_temperature/collection.json index 16af985e7c..e73806b253 100644 --- a/catalog/scores/Aquatics/Daily_Water_temperature/collection.json +++ b/catalog/scores/Aquatics/Daily_Water_temperature/collection.json @@ -11,22 +11,22 @@ { "rel": "item", "type": "application/json", - "href": "./models/fTSLM_lag.json" + "href": "./models/flareGLM_noDA.json" }, { "rel": "item", "type": "application/json", - "href": "./models/flareGLM.json" + "href": "./models/hotdeck.json" }, { "rel": "item", "type": "application/json", - "href": "./models/flareGLM_noDA.json" + "href": "./models/fARIMA_clim_ensemble.json" }, { "rel": "item", "type": "application/json", - "href": "./models/fARIMA_clim_ensemble.json" + "href": "./models/GLEON_JRabaey_temp_physics.json" }, { "rel": "item", @@ -36,17 +36,17 @@ { "rel": "item", "type": "application/json", - "href": "./models/GLEON_JRabaey_temp_physics.json" + "href": "./models/lm_AT_WTL_WS.json" }, { "rel": "item", "type": "application/json", - "href": "./models/persistenceRW.json" + "href": "./models/mkricheldorf_w_lag.json" }, { "rel": "item", "type": "application/json", - "href": "./models/hotdeck.json" + "href": "./models/mlp1_wtempforecast_LF.json" }, { "rel": "item", @@ -56,17 +56,17 @@ { "rel": "item", "type": "application/json", - "href": "./models/lm_AT_WTL_WS.json" + "href": "./models/fTSLM_lag.json" }, { "rel": "item", "type": "application/json", - "href": "./models/mkricheldorf_w_lag.json" + "href": "./models/flareGLM.json" }, { "rel": "item", "type": "application/json", - "href": "./models/mlp1_wtempforecast_LF.json" + "href": "./models/GLEON_lm_lag_1day.json" }, { "rel": "item", @@ -81,22 +81,22 @@ { "rel": "item", "type": "application/json", - "href": "./models/GLEON_lm_lag_1day.json" + "href": "./models/tg_tbats.json" }, { "rel": "item", "type": "application/json", - "href": "./models/tg_arima.json" + "href": "./models/tg_ets.json" }, { "rel": "item", "type": "application/json", - "href": "./models/tg_ets.json" + "href": "./models/persistenceRW.json" }, { "rel": "item", "type": "application/json", - "href": "./models/tg_tbats.json" + "href": "./models/tg_arima.json" }, { "rel": "item", diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/models/GAM_air_wind.json b/catalog/scores/Aquatics/Daily_Water_temperature/models/GAM_air_wind.json index ce23567bba..f4752527f7 100644 --- a/catalog/scores/Aquatics/Daily_Water_temperature/models/GAM_air_wind.json +++ b/catalog/scores/Aquatics/Daily_Water_temperature/models/GAM_air_wind.json @@ -21,7 +21,7 @@ "properties": { "title": "GAM_air_wind", "description": "All scores for the Daily_Water_temperature variable for the GAM_air_wind model. Information for the model is provided as follows: I used a GAM (mgcv) with a linear relationship to air temperature and smoothing for eastward and northward winds..\n The model predicts this variable at the following sites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, 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": "2024-09-25T00:00:00Z", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-03-01T00:00:00Z", "end_datetime": "2024-08-06T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/models/GLEON_JRabaey_temp_physics.json b/catalog/scores/Aquatics/Daily_Water_temperature/models/GLEON_JRabaey_temp_physics.json index 7b479f4769..633cfdfaff 100644 --- a/catalog/scores/Aquatics/Daily_Water_temperature/models/GLEON_JRabaey_temp_physics.json +++ b/catalog/scores/Aquatics/Daily_Water_temperature/models/GLEON_JRabaey_temp_physics.json @@ -48,7 +48,7 @@ "properties": { "title": "GLEON_JRabaey_temp_physics", "description": "All scores for the Daily_Water_temperature variable for the GLEON_JRabaey_temp_physics model. Information for the model is provided as follows: The JR-physics model is a simple process model based on the assumption that surface water\ntemperature should trend towards equilibration with air temperature with a lag factor..\n The model predicts this variable at the following sites: 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, POSE, PRIN, PRLA, PRPO, 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": "2024-09-25T00:00:00Z", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-01-02T00:00:00Z", "end_datetime": "2024-03-12T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/models/GLEON_lm_lag_1day.json b/catalog/scores/Aquatics/Daily_Water_temperature/models/GLEON_lm_lag_1day.json index c68af83331..41613e4134 100644 --- a/catalog/scores/Aquatics/Daily_Water_temperature/models/GLEON_lm_lag_1day.json +++ b/catalog/scores/Aquatics/Daily_Water_temperature/models/GLEON_lm_lag_1day.json @@ -21,7 +21,7 @@ "properties": { "title": "GLEON_lm_lag_1day", "description": "All scores for the Daily_Water_temperature variable for the GLEON_lm_lag_1day model. Information for the model is provided as follows: NA.\n The model predicts this variable at the following sites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, 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": "2024-09-25T00:00:00Z", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-01-02T00:00:00Z", "end_datetime": "2024-02-02T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/models/baseline_ensemble.json b/catalog/scores/Aquatics/Daily_Water_temperature/models/baseline_ensemble.json index 3e6999fbbc..ad24a2713e 100644 --- a/catalog/scores/Aquatics/Daily_Water_temperature/models/baseline_ensemble.json +++ b/catalog/scores/Aquatics/Daily_Water_temperature/models/baseline_ensemble.json @@ -9,6 +9,15 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-102.4471, 39.7582], + [-82.0084, 29.676], + [-119.2575, 37.0597], + [-110.5871, 44.9501], + [-96.6242, 34.4442], + [-87.7982, 32.5415], + [-147.504, 65.1532], + [-105.5442, 40.035], + [-89.4737, 46.2097], [-66.9868, 18.1135], [-84.4374, 31.1854], [-66.7987, 18.1741], @@ -33,22 +42,13 @@ [-88.1589, 31.8534], [-84.2793, 35.9574], [-105.9154, 39.8914], - [-102.4471, 39.7582], - [-82.0084, 29.676], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-87.7982, 32.5415], - [-147.504, 65.1532], - [-105.5442, 40.035], - [-89.4737, 46.2097], [-149.6106, 68.6307] ] }, "properties": { "title": "baseline_ensemble", - "description": "All scores for the Daily_Water_temperature variable for the baseline_ensemble model. Information for the model is provided as follows: The Baseline MME is a multi-model ensemble (MME) comprised of the two baseline models\n(day-of-year, persistence) submitted by Challenge organisers.\n The model predicts this variable at the following sites: CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, WALK, WLOU, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, 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": "2024-09-25T00:00:00Z", + "description": "All scores for the Daily_Water_temperature variable for the baseline_ensemble model. Information for the model is provided as follows: The Baseline MME is a multi-model ensemble (MME) comprised of the two baseline models\n(day-of-year, persistence) submitted by Challenge organisers.\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, WALK, WLOU, 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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-01T00:00:00Z", "providers": [ @@ -79,6 +79,15 @@ "temperature", "Daily", "P1D", + "ARIK", + "BARC", + "BIGC", + "BLDE", + "BLUE", + "BLWA", + "CARI", + "COMO", + "CRAM", "CUPE", "FLNT", "GUIL", @@ -103,15 +112,6 @@ "TOMB", "WALK", "WLOU", - "ARIK", - "BARC", - "BIGC", - "BLDE", - "BLUE", - "BLWA", - "CARI", - "COMO", - "CRAM", "TOOK" ], "table:columns": [ diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/models/bee_bake_RFModel_2024.json b/catalog/scores/Aquatics/Daily_Water_temperature/models/bee_bake_RFModel_2024.json index 166bdd629e..4428cc4258 100644 --- a/catalog/scores/Aquatics/Daily_Water_temperature/models/bee_bake_RFModel_2024.json +++ b/catalog/scores/Aquatics/Daily_Water_temperature/models/bee_bake_RFModel_2024.json @@ -21,7 +21,7 @@ "properties": { "title": "bee_bake_RFModel_2024", "description": "All scores for the Daily_Water_temperature variable for the bee_bake_RFModel_2024 model. Information for the model is provided as follows: Random Forest.\n The model predicts this variable at the following sites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, 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": "2024-09-25T00:00:00Z", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-05T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/models/climatology.json b/catalog/scores/Aquatics/Daily_Water_temperature/models/climatology.json index 605d35f25d..822ef8f954 100644 --- a/catalog/scores/Aquatics/Daily_Water_temperature/models/climatology.json +++ b/catalog/scores/Aquatics/Daily_Water_temperature/models/climatology.json @@ -48,7 +48,7 @@ "properties": { "title": "climatology", "description": "All scores for the Daily_Water_temperature 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: 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, ARIK, BARC, BIGC, BLDE.\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", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-07T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/models/fARIMA_clim_ensemble.json b/catalog/scores/Aquatics/Daily_Water_temperature/models/fARIMA_clim_ensemble.json index a9e68fade9..759a7ae69c 100644 --- a/catalog/scores/Aquatics/Daily_Water_temperature/models/fARIMA_clim_ensemble.json +++ b/catalog/scores/Aquatics/Daily_Water_temperature/models/fARIMA_clim_ensemble.json @@ -47,7 +47,7 @@ "properties": { "title": "fARIMA_clim_ensemble", "description": "All scores for the Daily_Water_temperature variable for the fARIMA_clim_ensemble model. Information for the model is provided as follows: The fAMIRA-DOY MME is a multi-model ensemble (MME) composed of two empirical\nmodels: an ARIMA model (fARIMA) and day-of-year model.\n The model predicts this variable at the following sites: ARIK, BARC, BLDE, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MART, MAYF, MCDI, MCRA, OKSR, POSE, PRIN, PRPO, REDB, SUGG, SYCA, TECR, TOMB, WLOU, WALK, BLWA, PRLA, BIGC, 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": "2024-09-25T00:00:00Z", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-01T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/models/fTSLM_lag.json b/catalog/scores/Aquatics/Daily_Water_temperature/models/fTSLM_lag.json index 0cd43105a0..9ac2969448 100644 --- a/catalog/scores/Aquatics/Daily_Water_temperature/models/fTSLM_lag.json +++ b/catalog/scores/Aquatics/Daily_Water_temperature/models/fTSLM_lag.json @@ -48,7 +48,7 @@ "properties": { "title": "fTSLM_lag", "description": "All scores for the Daily_Water_temperature variable for the fTSLM_lag model. Information for the model is provided as follows: This is a simple time series linear model in which water temperature is a function of air\ntemperature of that day and the previous day’s air temperature.\n The model predicts this variable at the following sites: 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, ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM.\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", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-06T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/models/flareGLM.json b/catalog/scores/Aquatics/Daily_Water_temperature/models/flareGLM.json index 87f2b51f80..0e8abfef40 100644 --- a/catalog/scores/Aquatics/Daily_Water_temperature/models/flareGLM.json +++ b/catalog/scores/Aquatics/Daily_Water_temperature/models/flareGLM.json @@ -21,7 +21,7 @@ "properties": { "title": "flareGLM", "description": "All scores for the Daily_Water_temperature variable for the flareGLM model. Information for the model is provided as follows: The FLARE-GLM is a forecasting framework that integrates the General Lake Model\nhydrodynamic process model (GLM; Hipsey et al., 2019) and data assimilation algorithm to generate\nensemble forecasts of lake water temperature..\n The model predicts this variable at the following sites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, 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": "2024-09-25T00:00:00Z", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-06T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/models/flareGLM_noDA.json b/catalog/scores/Aquatics/Daily_Water_temperature/models/flareGLM_noDA.json index 5a65c56d7a..bff7efdc15 100644 --- a/catalog/scores/Aquatics/Daily_Water_temperature/models/flareGLM_noDA.json +++ b/catalog/scores/Aquatics/Daily_Water_temperature/models/flareGLM_noDA.json @@ -9,19 +9,19 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-82.0084, 29.676], - [-89.4737, 46.2097], - [-89.7048, 45.9983], [-99.1139, 47.1591], [-99.2531, 47.1298], [-82.0177, 29.6878], - [-149.6106, 68.6307] + [-149.6106, 68.6307], + [-82.0084, 29.676], + [-89.4737, 46.2097], + [-89.7048, 45.9983] ] }, "properties": { "title": "flareGLM_noDA", - "description": "All scores for the Daily_Water_temperature variable for the flareGLM_noDA model. Information for the model is provided as follows: The FLARE-GLM is a forecasting framework that integrates the General Lake Model\nhydrodynamic process model (GLM; Hipsey et al., 2019). This version does not incorportate data assimilation.\n The model predicts this variable at the following sites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, 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": "2024-09-25T00:00:00Z", + "description": "All scores for the Daily_Water_temperature variable for the flareGLM_noDA model. Information for the model is provided as follows: The FLARE-GLM is a forecasting framework that integrates the General Lake Model\nhydrodynamic process model (GLM; Hipsey et al., 2019). This version does not incorportate data assimilation.\n The model predicts this variable at the following sites: PRLA, PRPO, SUGG, TOOK, BARC, CRAM, LIRO.\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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-06T00:00:00Z", "providers": [ @@ -52,13 +52,13 @@ "temperature", "Daily", "P1D", - "BARC", - "CRAM", - "LIRO", "PRLA", "PRPO", "SUGG", - "TOOK" + "TOOK", + "BARC", + "CRAM", + "LIRO" ], "table:columns": [ { diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/models/hotdeck.json b/catalog/scores/Aquatics/Daily_Water_temperature/models/hotdeck.json index fb448847ae..5ff14e97db 100644 --- a/catalog/scores/Aquatics/Daily_Water_temperature/models/hotdeck.json +++ b/catalog/scores/Aquatics/Daily_Water_temperature/models/hotdeck.json @@ -44,7 +44,7 @@ "properties": { "title": "hotdeck", "description": "All scores for the Daily_Water_temperature 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: ARIK, BARC, BIGC, BLDE, BLUE, BLWA, CARI, COMO, CRAM, CUPE, FLNT, GUIL, HOPB, KING, LECO, LEWI, LIRO, MAYF, MCRA, POSE, PRIN, PRLA, PRPO, REDB, SUGG, SYCA, TECR, TOMB, 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", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-02T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/models/lm_AT_WTL_WS.json b/catalog/scores/Aquatics/Daily_Water_temperature/models/lm_AT_WTL_WS.json index d9db8bbd94..38e869d0f7 100644 --- a/catalog/scores/Aquatics/Daily_Water_temperature/models/lm_AT_WTL_WS.json +++ b/catalog/scores/Aquatics/Daily_Water_temperature/models/lm_AT_WTL_WS.json @@ -21,7 +21,7 @@ "properties": { "title": "lm_AT_WTL_WS", "description": "All scores for the Daily_Water_temperature variable for the lm_AT_WTL_WS model. Information for the model is provided as follows: This forecast of water temperature at NEON Lake sites uses a linear model, incorporating air temperature, wind speed, and the previous day's forecasted water temperature as variables..\n The model predicts this variable at the following sites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, 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": "2024-09-25T00:00:00Z", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-02T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/models/mkricheldorf_w_lag.json b/catalog/scores/Aquatics/Daily_Water_temperature/models/mkricheldorf_w_lag.json index d9c14c6f26..985aa7b3a4 100644 --- a/catalog/scores/Aquatics/Daily_Water_temperature/models/mkricheldorf_w_lag.json +++ b/catalog/scores/Aquatics/Daily_Water_temperature/models/mkricheldorf_w_lag.json @@ -21,7 +21,7 @@ "properties": { "title": "mkricheldorf_w_lag", "description": "All scores for the Daily_Water_temperature variable for the mkricheldorf_w_lag model. Information for the model is provided as follows: I used an autoregressive linear model using the lm() function.\n The model predicts this variable at the following sites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, 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": "2024-09-25T00:00:00Z", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-26T00:00:00Z", "end_datetime": "2024-08-06T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/models/mlp1_wtempforecast_LF.json b/catalog/scores/Aquatics/Daily_Water_temperature/models/mlp1_wtempforecast_LF.json index 8b3134c740..e8070826ca 100644 --- a/catalog/scores/Aquatics/Daily_Water_temperature/models/mlp1_wtempforecast_LF.json +++ b/catalog/scores/Aquatics/Daily_Water_temperature/models/mlp1_wtempforecast_LF.json @@ -21,7 +21,7 @@ "properties": { "title": "mlp1_wtempforecast_LF", "description": "All scores for the Daily_Water_temperature variable for the mlp1_wtempforecast_LF model. Information for the model is provided as follows: Modelling for water temperature using a single layer neural network (mlp() in tidymodels). Used relative humidity, precipitation flux and air temperature as drivers. Hypertuned parameters for models to be run with 100 epochs and penalty value of 0.01..\n The model predicts this variable at the following sites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, 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": "2024-09-25T00:00:00Z", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-05T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/models/persistenceRW.json b/catalog/scores/Aquatics/Daily_Water_temperature/models/persistenceRW.json index a410e8ad52..77aa81b506 100644 --- a/catalog/scores/Aquatics/Daily_Water_temperature/models/persistenceRW.json +++ b/catalog/scores/Aquatics/Daily_Water_temperature/models/persistenceRW.json @@ -9,12 +9,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-102.4471, 39.7582], - [-82.0084, 29.676], - [-119.2575, 37.0597], - [-110.5871, 44.9501], - [-96.6242, 34.4442], - [-87.7982, 32.5415], [-147.504, 65.1532], [-105.5442, 40.035], [-89.4737, 46.2097], @@ -42,13 +36,19 @@ [-88.1589, 31.8534], [-149.6106, 68.6307], [-84.2793, 35.9574], - [-105.9154, 39.8914] + [-105.9154, 39.8914], + [-102.4471, 39.7582], + [-82.0084, 29.676], + [-119.2575, 37.0597], + [-110.5871, 44.9501], + [-96.6242, 34.4442], + [-87.7982, 32.5415] ] }, "properties": { "title": "persistenceRW", - "description": "All scores for the Daily_Water_temperature 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": "2024-09-25T00:00:00Z", + "description": "All scores for the Daily_Water_temperature 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: 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, ARIK, BARC, BIGC, BLDE, BLUE, BLWA.\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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-06T00:00:00Z", "providers": [ @@ -79,12 +79,6 @@ "temperature", "Daily", "P1D", - "ARIK", - "BARC", - "BIGC", - "BLDE", - "BLUE", - "BLWA", "CARI", "COMO", "CRAM", @@ -112,7 +106,13 @@ "TOMB", "TOOK", "WALK", - "WLOU" + "WLOU", + "ARIK", + "BARC", + "BIGC", + "BLDE", + "BLUE", + "BLWA" ], "table:columns": [ { diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/models/tg_arima.json b/catalog/scores/Aquatics/Daily_Water_temperature/models/tg_arima.json index 1fcd23a709..6b3dfacf76 100644 --- a/catalog/scores/Aquatics/Daily_Water_temperature/models/tg_arima.json +++ b/catalog/scores/Aquatics/Daily_Water_temperature/models/tg_arima.json @@ -48,7 +48,7 @@ "properties": { "title": "tg_arima", "description": "All scores for the Daily_Water_temperature 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", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-02T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/models/tg_ets.json b/catalog/scores/Aquatics/Daily_Water_temperature/models/tg_ets.json index 3d821f15ac..ed7bef4d72 100644 --- a/catalog/scores/Aquatics/Daily_Water_temperature/models/tg_ets.json +++ b/catalog/scores/Aquatics/Daily_Water_temperature/models/tg_ets.json @@ -9,6 +9,16 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-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], @@ -32,23 +42,13 @@ [-122.1655, 44.2596], [-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] + [-97.7823, 33.3785] ] }, "properties": { "title": "tg_ets", - "description": "All scores for the Daily_Water_temperature 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: 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", + "description": "All scores for the Daily_Water_temperature 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: 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, POSE, PRIN.\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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-02T00:00:00Z", "providers": [ @@ -79,6 +79,16 @@ "temperature", "Daily", "P1D", + "PRLA", + "PRPO", + "REDB", + "SUGG", + "SYCA", + "TECR", + "TOMB", + "TOOK", + "WALK", + "WLOU", "ARIK", "BARC", "BIGC", @@ -102,17 +112,7 @@ "MCRA", "OKSR", "POSE", - "PRIN", - "PRLA", - "PRPO", - "REDB", - "SUGG", - "SYCA", - "TECR", - "TOMB", - "TOOK", - "WALK", - "WLOU" + "PRIN" ], "table:columns": [ { diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/models/tg_tbats.json b/catalog/scores/Aquatics/Daily_Water_temperature/models/tg_tbats.json index 2dbb2391b3..bc98203d9a 100644 --- a/catalog/scores/Aquatics/Daily_Water_temperature/models/tg_tbats.json +++ b/catalog/scores/Aquatics/Daily_Water_temperature/models/tg_tbats.json @@ -48,7 +48,7 @@ "properties": { "title": "tg_tbats", "description": "All scores for the Daily_Water_temperature 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: LIRO, MART, MAYF, MCDI, MCRA, OKSR, 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.\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", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-02T00:00:00Z", "providers": [ diff --git a/catalog/scores/Aquatics/Daily_Water_temperature/models/zimmerman_proj1.json b/catalog/scores/Aquatics/Daily_Water_temperature/models/zimmerman_proj1.json index bf3e6d928f..2898d2007b 100644 --- a/catalog/scores/Aquatics/Daily_Water_temperature/models/zimmerman_proj1.json +++ b/catalog/scores/Aquatics/Daily_Water_temperature/models/zimmerman_proj1.json @@ -21,7 +21,7 @@ "properties": { "title": "zimmerman_proj1", "description": "All scores for the Daily_Water_temperature variable for the zimmerman_proj1 model. Information for the model is provided as follows: I used an ARIMA model with one autoregressive term. I also included air pressure and air temperature.\n The model predicts this variable at the following sites: BARC, CRAM, LIRO, PRLA, PRPO, SUGG, 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": "2024-09-25T00:00:00Z", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-06T00:00:00Z", "providers": [ diff --git a/catalog/scores/Beetles/Weekly_beetle_community_abundance/models/tg_arima.json b/catalog/scores/Beetles/Weekly_beetle_community_abundance/models/tg_arima.json index 98000ee8a6..2322ae5f81 100644 --- a/catalog/scores/Beetles/Weekly_beetle_community_abundance/models/tg_arima.json +++ b/catalog/scores/Beetles/Weekly_beetle_community_abundance/models/tg_arima.json @@ -9,6 +9,11 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-122.3303, 45.7624], + [-156.6194, 71.2824], + [-71.2874, 44.0639], + [-78.0418, 39.0337], + [-147.5026, 65.154], [-97.57, 33.4012], [-104.7456, 40.8155], [-99.1066, 47.1617], @@ -50,18 +55,13 @@ [-89.5373, 46.2339], [-99.2413, 47.1282], [-121.9519, 45.8205], - [-110.5391, 44.9535], - [-122.3303, 45.7624], - [-156.6194, 71.2824], - [-71.2874, 44.0639], - [-78.0418, 39.0337], - [-147.5026, 65.154] + [-110.5391, 44.9535] ] }, "properties": { "title": "tg_arima", - "description": "All scores for the Weekly_beetle_community_abundance 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: CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA.\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", + "description": "All scores for the Weekly_beetle_community_abundance 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: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL.\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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-17T00:00:00Z", "end_datetime": "2024-07-22T00:00:00Z", "providers": [ @@ -92,6 +92,11 @@ "abundance", "Weekly", "P1W", + "ABBY", + "BARR", + "BART", + "BLAN", + "BONA", "CLBJ", "CPER", "DCFS", @@ -133,12 +138,7 @@ "UNDE", "WOOD", "WREF", - "YELL", - "ABBY", - "BARR", - "BART", - "BLAN", - "BONA" + "YELL" ], "table:columns": [ { diff --git a/catalog/scores/Beetles/Weekly_beetle_community_abundance/models/tg_ets.json b/catalog/scores/Beetles/Weekly_beetle_community_abundance/models/tg_ets.json index 5edd94c8ae..9e567864d0 100644 --- a/catalog/scores/Beetles/Weekly_beetle_community_abundance/models/tg_ets.json +++ b/catalog/scores/Beetles/Weekly_beetle_community_abundance/models/tg_ets.json @@ -61,7 +61,7 @@ "properties": { "title": "tg_ets", "description": "All scores for the Weekly_beetle_community_abundance 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: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL.\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", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-17T00:00:00Z", "end_datetime": "2024-07-22T00:00:00Z", "providers": [ diff --git a/catalog/scores/Beetles/Weekly_beetle_community_abundance/models/tg_tbats.json b/catalog/scores/Beetles/Weekly_beetle_community_abundance/models/tg_tbats.json index a133f48829..e7622412ca 100644 --- a/catalog/scores/Beetles/Weekly_beetle_community_abundance/models/tg_tbats.json +++ b/catalog/scores/Beetles/Weekly_beetle_community_abundance/models/tg_tbats.json @@ -61,7 +61,7 @@ "properties": { "title": "tg_tbats", "description": "All scores for the Weekly_beetle_community_abundance 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: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL.\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", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-17T00:00:00Z", "end_datetime": "2024-07-22T00:00:00Z", "providers": [ diff --git a/catalog/scores/Beetles/Weekly_beetle_community_richness/models/tg_arima.json b/catalog/scores/Beetles/Weekly_beetle_community_richness/models/tg_arima.json index 2faa456072..3fa5c8c093 100644 --- a/catalog/scores/Beetles/Weekly_beetle_community_richness/models/tg_arima.json +++ b/catalog/scores/Beetles/Weekly_beetle_community_richness/models/tg_arima.json @@ -61,7 +61,7 @@ "properties": { "title": "tg_arima", "description": "All scores for the Weekly_beetle_community_richness 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: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL.\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", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-17T00:00:00Z", "end_datetime": "2024-08-05T00:00:00Z", "providers": [ diff --git a/catalog/scores/Beetles/Weekly_beetle_community_richness/models/tg_ets.json b/catalog/scores/Beetles/Weekly_beetle_community_richness/models/tg_ets.json index a897281d04..18f896f96f 100644 --- a/catalog/scores/Beetles/Weekly_beetle_community_richness/models/tg_ets.json +++ b/catalog/scores/Beetles/Weekly_beetle_community_richness/models/tg_ets.json @@ -61,7 +61,7 @@ "properties": { "title": "tg_ets", "description": "All scores for the Weekly_beetle_community_richness 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: TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER.\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", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-17T00:00:00Z", "end_datetime": "2024-08-05T00:00:00Z", "providers": [ diff --git a/catalog/scores/Beetles/Weekly_beetle_community_richness/models/tg_tbats.json b/catalog/scores/Beetles/Weekly_beetle_community_richness/models/tg_tbats.json index 96cf78478e..2efa98a35e 100644 --- a/catalog/scores/Beetles/Weekly_beetle_community_richness/models/tg_tbats.json +++ b/catalog/scores/Beetles/Weekly_beetle_community_richness/models/tg_tbats.json @@ -61,7 +61,7 @@ "properties": { "title": "tg_tbats", "description": "All scores for the Weekly_beetle_community_richness 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: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL.\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", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-17T00:00:00Z", "end_datetime": "2024-08-05T00:00:00Z", "providers": [ diff --git a/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/collection.json b/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/collection.json index 5b27deabdc..14fb0e9be9 100644 --- a/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/collection.json +++ b/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/collection.json @@ -11,32 +11,32 @@ { "rel": "item", "type": "application/json", - "href": "./models/tg_arima.json" + "href": "./models/ChlorophyllCrusaders.json" }, { "rel": "item", "type": "application/json", - "href": "./models/tg_tbats.json" + "href": "./models/climatology.json" }, { "rel": "item", "type": "application/json", - "href": "./models/ChlorophyllCrusaders.json" + "href": "./models/persistenceRW.json" }, { "rel": "item", "type": "application/json", - "href": "./models/climatology.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_ets.json" + "href": "./models/tg_arima.json" }, { "rel": "parent", diff --git a/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/ChlorophyllCrusaders.json b/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/ChlorophyllCrusaders.json index 9c3aca5aaa..b017e4154e 100644 --- a/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/ChlorophyllCrusaders.json +++ b/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/ChlorophyllCrusaders.json @@ -15,7 +15,7 @@ "properties": { "title": "ChlorophyllCrusaders", "description": "All scores for the Daily_Green_chromatic_coordinate variable for the ChlorophyllCrusaders model. Information for the model is provided as follows: Our project utilizes a historical GCC data to fit a Dynamic Linear Model (DLM). After this DLM is trained, we utilize forecasted temperature data to predict future GCC data..\n The model predicts this variable at the following sites: HEAL.\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", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-06-20T00:00:00Z", "providers": [ diff --git a/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/climatology.json b/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/climatology.json index 5450d89518..6be4dd8d20 100644 --- a/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/climatology.json +++ b/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/climatology.json @@ -61,7 +61,7 @@ "properties": { "title": "climatology", "description": "All scores for the Daily_Green_chromatic_coordinate 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: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL.\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", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-07T00:00:00Z", "providers": [ diff --git a/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/persistenceRW.json b/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/persistenceRW.json index e4d37fd25a..042418dadb 100644 --- a/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/persistenceRW.json +++ b/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/persistenceRW.json @@ -9,6 +9,21 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-122.3303, 45.7624], + [-156.6194, 71.2824], + [-71.2874, 44.0639], + [-78.0418, 39.0337], + [-147.5026, 65.154], + [-97.57, 33.4012], + [-104.7456, 40.8155], + [-99.1066, 47.1617], + [-145.7514, 63.8811], + [-87.8039, 32.5417], + [-81.4362, 28.1251], + [-83.5019, 35.689], + [-66.8687, 17.9696], + [-72.1727, 42.5369], + [-149.2133, 63.8758], [-84.4686, 31.1948], [-106.8425, 32.5907], [-96.6129, 39.1104], @@ -40,28 +55,13 @@ [-89.5373, 46.2339], [-99.2413, 47.1282], [-121.9519, 45.8205], - [-110.5391, 44.9535], - [-122.3303, 45.7624], - [-156.6194, 71.2824], - [-71.2874, 44.0639], - [-78.0418, 39.0337], - [-147.5026, 65.154], - [-97.57, 33.4012], - [-104.7456, 40.8155], - [-99.1066, 47.1617], - [-145.7514, 63.8811], - [-87.8039, 32.5417], - [-81.4362, 28.1251], - [-83.5019, 35.689], - [-66.8687, 17.9696], - [-72.1727, 42.5369], - [-149.2133, 63.8758] + [-110.5391, 44.9535] ] }, "properties": { "title": "persistenceRW", - "description": "All scores for the Daily_Green_chromatic_coordinate 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: JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL.\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", + "description": "All scores for the Daily_Green_chromatic_coordinate 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: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL.\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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-07-28T00:00:00Z", "providers": [ @@ -92,6 +92,21 @@ "gcc_90", "Daily", "P1D", + "ABBY", + "BARR", + "BART", + "BLAN", + "BONA", + "CLBJ", + "CPER", + "DCFS", + "DEJU", + "DELA", + "DSNY", + "GRSM", + "GUAN", + "HARV", + "HEAL", "JERC", "JORN", "KONA", @@ -123,22 +138,7 @@ "UNDE", "WOOD", "WREF", - "YELL", - "ABBY", - "BARR", - "BART", - "BLAN", - "BONA", - "CLBJ", - "CPER", - "DCFS", - "DEJU", - "DELA", - "DSNY", - "GRSM", - "GUAN", - "HARV", - "HEAL" + "YELL" ], "table:columns": [ { diff --git a/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/tg_arima.json b/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/tg_arima.json index 9ebeb87bf1..bf529f7d8f 100644 --- a/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/tg_arima.json +++ b/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/tg_arima.json @@ -9,29 +9,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-100.9154, 46.7697], - [-99.0588, 35.4106], - [-112.4524, 40.1776], - [-84.2826, 35.9641], - [-81.9934, 29.6893], - [-155.3173, 19.5531], - [-105.546, 40.2759], - [-78.1395, 38.8929], - [-76.56, 38.8901], - [-119.7323, 37.1088], - [-119.2622, 37.0334], - [-110.8355, 31.9107], - [-89.5864, 45.5089], - [-103.0293, 40.4619], - [-87.3933, 32.9505], - [-119.006, 37.0058], - [-149.3705, 68.6611], - [-89.5857, 45.4937], - [-95.1921, 39.0404], - [-89.5373, 46.2339], - [-99.2413, 47.1282], - [-121.9519, 45.8205], - [-110.5391, 44.9535], [-122.3303, 45.7624], [-156.6194, 71.2824], [-71.2874, 44.0639], @@ -55,13 +32,36 @@ [-88.1612, 31.8539], [-80.5248, 37.3783], [-109.3883, 38.2483], - [-105.5824, 40.0543] + [-105.5824, 40.0543], + [-100.9154, 46.7697], + [-99.0588, 35.4106], + [-112.4524, 40.1776], + [-84.2826, 35.9641], + [-81.9934, 29.6893], + [-155.3173, 19.5531], + [-105.546, 40.2759], + [-78.1395, 38.8929], + [-76.56, 38.8901], + [-119.7323, 37.1088], + [-119.2622, 37.0334], + [-110.8355, 31.9107], + [-89.5864, 45.5089], + [-103.0293, 40.4619], + [-87.3933, 32.9505], + [-119.006, 37.0058], + [-149.3705, 68.6611], + [-89.5857, 45.4937], + [-95.1921, 39.0404], + [-89.5373, 46.2339], + [-99.2413, 47.1282], + [-121.9519, 45.8205], + [-110.5391, 44.9535] ] }, "properties": { "title": "tg_arima", - "description": "All scores for the Daily_Green_chromatic_coordinate 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: NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO.\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", + "description": "All scores for the Daily_Green_chromatic_coordinate 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: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL.\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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-07-28T00:00:00Z", "providers": [ @@ -92,29 +92,6 @@ "gcc_90", "Daily", "P1D", - "NOGP", - "OAES", - "ONAQ", - "ORNL", - "OSBS", - "PUUM", - "RMNP", - "SCBI", - "SERC", - "SJER", - "SOAP", - "SRER", - "STEI", - "STER", - "TALL", - "TEAK", - "TOOL", - "TREE", - "UKFS", - "UNDE", - "WOOD", - "WREF", - "YELL", "ABBY", "BARR", "BART", @@ -138,7 +115,30 @@ "LENO", "MLBS", "MOAB", - "NIWO" + "NIWO", + "NOGP", + "OAES", + "ONAQ", + "ORNL", + "OSBS", + "PUUM", + "RMNP", + "SCBI", + "SERC", + "SJER", + "SOAP", + "SRER", + "STEI", + "STER", + "TALL", + "TEAK", + "TOOL", + "TREE", + "UKFS", + "UNDE", + "WOOD", + "WREF", + "YELL" ], "table:columns": [ { diff --git a/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/tg_ets.json b/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/tg_ets.json index d40fc1fba1..43c7cee4b6 100644 --- a/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/tg_ets.json +++ b/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/tg_ets.json @@ -9,6 +9,11 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-95.1921, 39.0404], + [-89.5373, 46.2339], + [-99.2413, 47.1282], + [-121.9519, 45.8205], + [-110.5391, 44.9535], [-122.3303, 45.7624], [-156.6194, 71.2824], [-71.2874, 44.0639], @@ -50,18 +55,13 @@ [-87.3933, 32.9505], [-119.006, 37.0058], [-149.3705, 68.6611], - [-89.5857, 45.4937], - [-95.1921, 39.0404], - [-89.5373, 46.2339], - [-99.2413, 47.1282], - [-121.9519, 45.8205], - [-110.5391, 44.9535] + [-89.5857, 45.4937] ] }, "properties": { "title": "tg_ets", - "description": "All scores for the Daily_Green_chromatic_coordinate 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: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL.\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", + "description": "All scores for the Daily_Green_chromatic_coordinate 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: UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE.\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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-07-28T00:00:00Z", "providers": [ @@ -92,6 +92,11 @@ "gcc_90", "Daily", "P1D", + "UKFS", + "UNDE", + "WOOD", + "WREF", + "YELL", "ABBY", "BARR", "BART", @@ -133,12 +138,7 @@ "TALL", "TEAK", "TOOL", - "TREE", - "UKFS", - "UNDE", - "WOOD", - "WREF", - "YELL" + "TREE" ], "table:columns": [ { diff --git a/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/tg_tbats.json b/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/tg_tbats.json index c0b67dc147..ecfd4ab3b7 100644 --- a/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/tg_tbats.json +++ b/catalog/scores/Phenology/Daily_Green_chromatic_coordinate/models/tg_tbats.json @@ -9,6 +9,10 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-122.3303, 45.7624], + [-156.6194, 71.2824], + [-71.2874, 44.0639], + [-78.0418, 39.0337], [-147.5026, 65.154], [-97.57, 33.4012], [-104.7456, 40.8155], @@ -51,17 +55,13 @@ [-89.5373, 46.2339], [-99.2413, 47.1282], [-121.9519, 45.8205], - [-110.5391, 44.9535], - [-122.3303, 45.7624], - [-156.6194, 71.2824], - [-71.2874, 44.0639], - [-78.0418, 39.0337] + [-110.5391, 44.9535] ] }, "properties": { "title": "tg_tbats", - "description": "All scores for the Daily_Green_chromatic_coordinate 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: BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN.\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", + "description": "All scores for the Daily_Green_chromatic_coordinate 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: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL.\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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-07-28T00:00:00Z", "providers": [ @@ -92,6 +92,10 @@ "gcc_90", "Daily", "P1D", + "ABBY", + "BARR", + "BART", + "BLAN", "BONA", "CLBJ", "CPER", @@ -134,11 +138,7 @@ "UNDE", "WOOD", "WREF", - "YELL", - "ABBY", - "BARR", - "BART", - "BLAN" + "YELL" ], "table:columns": [ { diff --git a/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/collection.json b/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/collection.json index 753c6958a9..b42759d452 100644 --- a/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/collection.json +++ b/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/collection.json @@ -11,32 +11,32 @@ { "rel": "item", "type": "application/json", - "href": "./models/tg_tbats.json" + "href": "./models/tg_arima.json" }, { "rel": "item", "type": "application/json", - "href": "./models/climatology.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/persistenceRW.json" }, { "rel": "item", "type": "application/json", - "href": "./models/tg_ets.json" + "href": "./models/baseline_ensemble.json" }, { "rel": "item", "type": "application/json", - "href": "./models/baseline_ensemble.json" + "href": "./models/climatology.json" }, { "rel": "parent", diff --git a/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/baseline_ensemble.json b/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/baseline_ensemble.json index c56a213f54..8ec544a063 100644 --- a/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/baseline_ensemble.json +++ b/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/baseline_ensemble.json @@ -9,11 +9,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-121.9519, 45.8205], - [-110.5391, 44.9535], - [-122.3303, 45.7624], - [-156.6194, 71.2824], - [-71.2874, 44.0639], [-78.0418, 39.0337], [-147.5026, 65.154], [-97.57, 33.4012], @@ -55,13 +50,18 @@ [-89.5857, 45.4937], [-95.1921, 39.0404], [-89.5373, 46.2339], - [-99.2413, 47.1282] + [-99.2413, 47.1282], + [-121.9519, 45.8205], + [-110.5391, 44.9535], + [-122.3303, 45.7624], + [-156.6194, 71.2824], + [-71.2874, 44.0639] ] }, "properties": { "title": "baseline_ensemble", - "description": "All scores for the Daily_Red_chromatic_coordinate variable for the baseline_ensemble model. Information for the model is provided as follows: The Baseline MME is a multi-model ensemble (MME) comprised of the two baseline models\n(day-of-year, persistence) submitted by Challenge organisers.\n The model predicts this variable at the following sites: WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD.\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", + "description": "All scores for the Daily_Red_chromatic_coordinate variable for the baseline_ensemble model. Information for the model is provided as follows: The Baseline MME is a multi-model ensemble (MME) comprised of the two baseline models\n(day-of-year, persistence) submitted by Challenge organisers.\n The model predicts this variable at the following sites: BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART.\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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-01T00:00:00Z", "providers": [ @@ -92,11 +92,6 @@ "rcc_90", "Daily", "P1D", - "WREF", - "YELL", - "ABBY", - "BARR", - "BART", "BLAN", "BONA", "CLBJ", @@ -138,7 +133,12 @@ "TREE", "UKFS", "UNDE", - "WOOD" + "WOOD", + "WREF", + "YELL", + "ABBY", + "BARR", + "BART" ], "table:columns": [ { diff --git a/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/climatology.json b/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/climatology.json index 554c5a6fa8..48cd7711d3 100644 --- a/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/climatology.json +++ b/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/climatology.json @@ -9,6 +9,21 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-122.3303, 45.7624], + [-156.6194, 71.2824], + [-71.2874, 44.0639], + [-78.0418, 39.0337], + [-147.5026, 65.154], + [-97.57, 33.4012], + [-104.7456, 40.8155], + [-99.1066, 47.1617], + [-145.7514, 63.8811], + [-87.8039, 32.5417], + [-81.4362, 28.1251], + [-83.5019, 35.689], + [-66.8687, 17.9696], + [-72.1727, 42.5369], + [-149.2133, 63.8758], [-84.4686, 31.1948], [-106.8425, 32.5907], [-96.6129, 39.1104], @@ -40,28 +55,13 @@ [-89.5373, 46.2339], [-99.2413, 47.1282], [-121.9519, 45.8205], - [-110.5391, 44.9535], - [-122.3303, 45.7624], - [-156.6194, 71.2824], - [-71.2874, 44.0639], - [-78.0418, 39.0337], - [-147.5026, 65.154], - [-97.57, 33.4012], - [-104.7456, 40.8155], - [-99.1066, 47.1617], - [-145.7514, 63.8811], - [-87.8039, 32.5417], - [-81.4362, 28.1251], - [-83.5019, 35.689], - [-66.8687, 17.9696], - [-72.1727, 42.5369], - [-149.2133, 63.8758] + [-110.5391, 44.9535] ] }, "properties": { "title": "climatology", - "description": "All scores for the Daily_Red_chromatic_coordinate 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: JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL.\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", + "description": "All scores for the Daily_Red_chromatic_coordinate 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: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL.\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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-07T00:00:00Z", "providers": [ @@ -92,6 +92,21 @@ "rcc_90", "Daily", "P1D", + "ABBY", + "BARR", + "BART", + "BLAN", + "BONA", + "CLBJ", + "CPER", + "DCFS", + "DEJU", + "DELA", + "DSNY", + "GRSM", + "GUAN", + "HARV", + "HEAL", "JERC", "JORN", "KONA", @@ -123,22 +138,7 @@ "UNDE", "WOOD", "WREF", - "YELL", - "ABBY", - "BARR", - "BART", - "BLAN", - "BONA", - "CLBJ", - "CPER", - "DCFS", - "DEJU", - "DELA", - "DSNY", - "GRSM", - "GUAN", - "HARV", - "HEAL" + "YELL" ], "table:columns": [ { diff --git a/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/persistenceRW.json b/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/persistenceRW.json index bec25dcc7f..0e22b7fc49 100644 --- a/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/persistenceRW.json +++ b/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/persistenceRW.json @@ -9,6 +9,20 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-119.7323, 37.1088], + [-119.2622, 37.0334], + [-110.8355, 31.9107], + [-89.5864, 45.5089], + [-103.0293, 40.4619], + [-87.3933, 32.9505], + [-119.006, 37.0058], + [-149.3705, 68.6611], + [-89.5857, 45.4937], + [-95.1921, 39.0404], + [-89.5373, 46.2339], + [-99.2413, 47.1282], + [-121.9519, 45.8205], + [-110.5391, 44.9535], [-122.3303, 45.7624], [-156.6194, 71.2824], [-71.2874, 44.0639], @@ -41,27 +55,13 @@ [-155.3173, 19.5531], [-105.546, 40.2759], [-78.1395, 38.8929], - [-76.56, 38.8901], - [-119.7323, 37.1088], - [-119.2622, 37.0334], - [-110.8355, 31.9107], - [-89.5864, 45.5089], - [-103.0293, 40.4619], - [-87.3933, 32.9505], - [-119.006, 37.0058], - [-149.3705, 68.6611], - [-89.5857, 45.4937], - [-95.1921, 39.0404], - [-89.5373, 46.2339], - [-99.2413, 47.1282], - [-121.9519, 45.8205], - [-110.5391, 44.9535] + [-76.56, 38.8901] ] }, "properties": { "title": "persistenceRW", - "description": "All scores for the Daily_Red_chromatic_coordinate 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: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL.\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", + "description": "All scores for the Daily_Red_chromatic_coordinate 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: SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC.\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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-06T00:00:00Z", "providers": [ @@ -92,6 +92,20 @@ "rcc_90", "Daily", "P1D", + "SJER", + "SOAP", + "SRER", + "STEI", + "STER", + "TALL", + "TEAK", + "TOOL", + "TREE", + "UKFS", + "UNDE", + "WOOD", + "WREF", + "YELL", "ABBY", "BARR", "BART", @@ -124,21 +138,7 @@ "PUUM", "RMNP", "SCBI", - "SERC", - "SJER", - "SOAP", - "SRER", - "STEI", - "STER", - "TALL", - "TEAK", - "TOOL", - "TREE", - "UKFS", - "UNDE", - "WOOD", - "WREF", - "YELL" + "SERC" ], "table:columns": [ { diff --git a/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/tg_arima.json b/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/tg_arima.json index 198bf4d12a..f994f72ec7 100644 --- a/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/tg_arima.json +++ b/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/tg_arima.json @@ -9,19 +9,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-122.3303, 45.7624], - [-156.6194, 71.2824], - [-71.2874, 44.0639], - [-78.0418, 39.0337], - [-147.5026, 65.154], - [-97.57, 33.4012], - [-104.7456, 40.8155], - [-99.1066, 47.1617], - [-145.7514, 63.8811], - [-87.8039, 32.5417], - [-81.4362, 28.1251], - [-83.5019, 35.689], - [-66.8687, 17.9696], [-72.1727, 42.5369], [-149.2133, 63.8758], [-84.4686, 31.1948], @@ -55,13 +42,26 @@ [-89.5373, 46.2339], [-99.2413, 47.1282], [-121.9519, 45.8205], - [-110.5391, 44.9535] + [-110.5391, 44.9535], + [-122.3303, 45.7624], + [-156.6194, 71.2824], + [-71.2874, 44.0639], + [-78.0418, 39.0337], + [-147.5026, 65.154], + [-97.57, 33.4012], + [-104.7456, 40.8155], + [-99.1066, 47.1617], + [-145.7514, 63.8811], + [-87.8039, 32.5417], + [-81.4362, 28.1251], + [-83.5019, 35.689], + [-66.8687, 17.9696] ] }, "properties": { "title": "tg_arima", - "description": "All scores for the Daily_Red_chromatic_coordinate 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: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL.\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", + "description": "All scores for the Daily_Red_chromatic_coordinate 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: HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN.\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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-02T00:00:00Z", "providers": [ @@ -92,19 +92,6 @@ "rcc_90", "Daily", "P1D", - "ABBY", - "BARR", - "BART", - "BLAN", - "BONA", - "CLBJ", - "CPER", - "DCFS", - "DEJU", - "DELA", - "DSNY", - "GRSM", - "GUAN", "HARV", "HEAL", "JERC", @@ -138,7 +125,20 @@ "UNDE", "WOOD", "WREF", - "YELL" + "YELL", + "ABBY", + "BARR", + "BART", + "BLAN", + "BONA", + "CLBJ", + "CPER", + "DCFS", + "DEJU", + "DELA", + "DSNY", + "GRSM", + "GUAN" ], "table:columns": [ { diff --git a/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/tg_ets.json b/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/tg_ets.json index 1d59331090..b958a36127 100644 --- a/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/tg_ets.json +++ b/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/tg_ets.json @@ -61,7 +61,7 @@ "properties": { "title": "tg_ets", "description": "All scores for the Daily_Red_chromatic_coordinate 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: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL.\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", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-02T00:00:00Z", "providers": [ diff --git a/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/tg_tbats.json b/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/tg_tbats.json index f723aadd18..ad1954db8b 100644 --- a/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/tg_tbats.json +++ b/catalog/scores/Phenology/Daily_Red_chromatic_coordinate/models/tg_tbats.json @@ -61,7 +61,7 @@ "properties": { "title": "tg_tbats", "description": "All scores for the Daily_Red_chromatic_coordinate 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: SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP.\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", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-02T00:00:00Z", "providers": [ diff --git a/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/collection.json b/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/collection.json index 56d7947ec2..f4fd64ded9 100644 --- a/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/collection.json +++ b/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/collection.json @@ -11,12 +11,12 @@ { "rel": "item", "type": "application/json", - "href": "./models/climatology.json" + "href": "./models/tg_ets.json" }, { "rel": "item", "type": "application/json", - "href": "./models/persistenceRW.json" + "href": "./models/tg_tbats.json" }, { "rel": "item", @@ -26,12 +26,12 @@ { "rel": "item", "type": "application/json", - "href": "./models/tg_ets.json" + "href": "./models/persistenceRW.json" }, { "rel": "item", "type": "application/json", - "href": "./models/tg_tbats.json" + "href": "./models/climatology.json" }, { "rel": "item", diff --git a/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/bookcast_forest.json b/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/bookcast_forest.json index 55c37c4232..5d6c22b12a 100644 --- a/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/bookcast_forest.json +++ b/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/bookcast_forest.json @@ -15,7 +15,7 @@ "properties": { "title": "bookcast_forest", "description": "All scores for the Daily_Net_ecosystem_exchange variable for the bookcast_forest model. Information for the model is provided as follows: A simple daily timestep process-based model of a terrestrial carbon cycle. It includes leaves, wood, and soil pools. It uses a light-use efficiency GPP model to convert PAR to carbon. The model is derived from https://github.com/mdietze/FluxCourseForecast..\n The model predicts this variable at the following sites: OSBS.\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", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-07-12T00:00:00Z", "providers": [ diff --git a/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/climatology.json b/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/climatology.json index 5afa3ca275..6caf37c0f3 100644 --- a/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/climatology.json +++ b/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/climatology.json @@ -9,19 +9,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-89.5864, 45.5089], - [-103.0293, 40.4619], - [-87.3933, 32.9505], - [-119.006, 37.0058], - [-149.3705, 68.6611], - [-89.5857, 45.4937], - [-95.1921, 39.0404], - [-89.5373, 46.2339], - [-99.2413, 47.1282], - [-121.9519, 45.8205], - [-110.5391, 44.9535], - [-122.3303, 45.7624], - [-156.6194, 71.2824], [-71.2874, 44.0639], [-78.0418, 39.0337], [-147.5026, 65.154], @@ -55,13 +42,26 @@ [-76.56, 38.8901], [-119.7323, 37.1088], [-119.2622, 37.0334], - [-110.8355, 31.9107] + [-110.8355, 31.9107], + [-89.5864, 45.5089], + [-103.0293, 40.4619], + [-87.3933, 32.9505], + [-119.006, 37.0058], + [-149.3705, 68.6611], + [-89.5857, 45.4937], + [-95.1921, 39.0404], + [-89.5373, 46.2339], + [-99.2413, 47.1282], + [-121.9519, 45.8205], + [-110.5391, 44.9535], + [-122.3303, 45.7624], + [-156.6194, 71.2824] ] }, "properties": { "title": "climatology", - "description": "All scores for the Daily_Net_ecosystem_exchange 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: STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER.\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", + "description": "All scores for the Daily_Net_ecosystem_exchange 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: BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR.\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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-03T00:00:00Z", "providers": [ @@ -92,19 +92,6 @@ "nee", "Daily", "P1D", - "STEI", - "STER", - "TALL", - "TEAK", - "TOOL", - "TREE", - "UKFS", - "UNDE", - "WOOD", - "WREF", - "YELL", - "ABBY", - "BARR", "BART", "BLAN", "BONA", @@ -138,7 +125,20 @@ "SERC", "SJER", "SOAP", - "SRER" + "SRER", + "STEI", + "STER", + "TALL", + "TEAK", + "TOOL", + "TREE", + "UKFS", + "UNDE", + "WOOD", + "WREF", + "YELL", + "ABBY", + "BARR" ], "table:columns": [ { diff --git a/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/persistenceRW.json b/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/persistenceRW.json index 7d7ca38a59..9ab194b0c2 100644 --- a/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/persistenceRW.json +++ b/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/persistenceRW.json @@ -9,6 +9,9 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-99.2413, 47.1282], + [-121.9519, 45.8205], + [-110.5391, 44.9535], [-122.3303, 45.7624], [-156.6194, 71.2824], [-71.2874, 44.0639], @@ -52,16 +55,13 @@ [-149.3705, 68.6611], [-89.5857, 45.4937], [-95.1921, 39.0404], - [-89.5373, 46.2339], - [-99.2413, 47.1282], - [-121.9519, 45.8205], - [-110.5391, 44.9535] + [-89.5373, 46.2339] ] }, "properties": { "title": "persistenceRW", - "description": "All scores for the Daily_Net_ecosystem_exchange 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: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL.\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", + "description": "All scores for the Daily_Net_ecosystem_exchange 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: WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE.\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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-03T00:00:00Z", "providers": [ @@ -92,6 +92,9 @@ "nee", "Daily", "P1D", + "WOOD", + "WREF", + "YELL", "ABBY", "BARR", "BART", @@ -135,10 +138,7 @@ "TOOL", "TREE", "UKFS", - "UNDE", - "WOOD", - "WREF", - "YELL" + "UNDE" ], "table:columns": [ { diff --git a/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/tg_arima.json b/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/tg_arima.json index e6ebe7bc51..33d405cffd 100644 --- a/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/tg_arima.json +++ b/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/tg_arima.json @@ -61,7 +61,7 @@ "properties": { "title": "tg_arima", "description": "All scores for the Daily_Net_ecosystem_exchange 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: DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER.\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", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-02T00:00:00Z", "providers": [ diff --git a/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/tg_ets.json b/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/tg_ets.json index 15c9bd0048..8c1ef0396e 100644 --- a/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/tg_ets.json +++ b/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/tg_ets.json @@ -9,6 +9,28 @@ "geometry": { "type": "MultiPoint", "coordinates": [ + [-99.0588, 35.4106], + [-112.4524, 40.1776], + [-84.2826, 35.9641], + [-81.9934, 29.6893], + [-155.3173, 19.5531], + [-105.546, 40.2759], + [-78.1395, 38.8929], + [-76.56, 38.8901], + [-119.7323, 37.1088], + [-119.2622, 37.0334], + [-110.8355, 31.9107], + [-89.5864, 45.5089], + [-103.0293, 40.4619], + [-87.3933, 32.9505], + [-119.006, 37.0058], + [-149.3705, 68.6611], + [-89.5857, 45.4937], + [-95.1921, 39.0404], + [-89.5373, 46.2339], + [-99.2413, 47.1282], + [-121.9519, 45.8205], + [-110.5391, 44.9535], [-122.3303, 45.7624], [-156.6194, 71.2824], [-71.2874, 44.0639], @@ -33,35 +55,13 @@ [-80.5248, 37.3783], [-109.3883, 38.2483], [-105.5824, 40.0543], - [-100.9154, 46.7697], - [-99.0588, 35.4106], - [-112.4524, 40.1776], - [-84.2826, 35.9641], - [-81.9934, 29.6893], - [-155.3173, 19.5531], - [-105.546, 40.2759], - [-78.1395, 38.8929], - [-76.56, 38.8901], - [-119.7323, 37.1088], - [-119.2622, 37.0334], - [-110.8355, 31.9107], - [-89.5864, 45.5089], - [-103.0293, 40.4619], - [-87.3933, 32.9505], - [-119.006, 37.0058], - [-149.3705, 68.6611], - [-89.5857, 45.4937], - [-95.1921, 39.0404], - [-89.5373, 46.2339], - [-99.2413, 47.1282], - [-121.9519, 45.8205], - [-110.5391, 44.9535] + [-100.9154, 46.7697] ] }, "properties": { "title": "tg_ets", - "description": "All scores for the Daily_Net_ecosystem_exchange 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: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL.\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", + "description": "All scores for the Daily_Net_ecosystem_exchange 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: OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP.\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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-02T00:00:00Z", "providers": [ @@ -92,6 +92,28 @@ "nee", "Daily", "P1D", + "OAES", + "ONAQ", + "ORNL", + "OSBS", + "PUUM", + "RMNP", + "SCBI", + "SERC", + "SJER", + "SOAP", + "SRER", + "STEI", + "STER", + "TALL", + "TEAK", + "TOOL", + "TREE", + "UKFS", + "UNDE", + "WOOD", + "WREF", + "YELL", "ABBY", "BARR", "BART", @@ -116,29 +138,7 @@ "MLBS", "MOAB", "NIWO", - "NOGP", - "OAES", - "ONAQ", - "ORNL", - "OSBS", - "PUUM", - "RMNP", - "SCBI", - "SERC", - "SJER", - "SOAP", - "SRER", - "STEI", - "STER", - "TALL", - "TEAK", - "TOOL", - "TREE", - "UKFS", - "UNDE", - "WOOD", - "WREF", - "YELL" + "NOGP" ], "table:columns": [ { diff --git a/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/tg_tbats.json b/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/tg_tbats.json index 800bcf31f9..98417328f8 100644 --- a/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/tg_tbats.json +++ b/catalog/scores/Terrestrial/Daily_Net_ecosystem_exchange/models/tg_tbats.json @@ -61,7 +61,7 @@ "properties": { "title": "tg_tbats", "description": "All scores for the Daily_Net_ecosystem_exchange 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: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL.\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", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-02T00:00:00Z", "providers": [ diff --git a/catalog/scores/Terrestrial/Daily_latent_heat_flux/models/climatology.json b/catalog/scores/Terrestrial/Daily_latent_heat_flux/models/climatology.json index d38f09aff4..6304a68346 100644 --- a/catalog/scores/Terrestrial/Daily_latent_heat_flux/models/climatology.json +++ b/catalog/scores/Terrestrial/Daily_latent_heat_flux/models/climatology.json @@ -9,17 +9,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-122.3303, 45.7624], - [-156.6194, 71.2824], - [-71.2874, 44.0639], - [-78.0418, 39.0337], - [-147.5026, 65.154], - [-97.57, 33.4012], - [-104.7456, 40.8155], - [-99.1066, 47.1617], - [-145.7514, 63.8811], - [-87.8039, 32.5417], - [-81.4362, 28.1251], [-83.5019, 35.689], [-66.8687, 17.9696], [-72.1727, 42.5369], @@ -55,13 +44,24 @@ [-89.5373, 46.2339], [-99.2413, 47.1282], [-121.9519, 45.8205], - [-110.5391, 44.9535] + [-110.5391, 44.9535], + [-122.3303, 45.7624], + [-156.6194, 71.2824], + [-71.2874, 44.0639], + [-78.0418, 39.0337], + [-147.5026, 65.154], + [-97.57, 33.4012], + [-104.7456, 40.8155], + [-99.1066, 47.1617], + [-145.7514, 63.8811], + [-87.8039, 32.5417], + [-81.4362, 28.1251] ] }, "properties": { "title": "climatology", - "description": "All scores for the Daily_latent_heat_flux 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: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL.\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", + "description": "All scores for the Daily_latent_heat_flux 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: GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY.\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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-08T00:00:00Z", "providers": [ @@ -92,17 +92,6 @@ "le", "Daily", "P1D", - "ABBY", - "BARR", - "BART", - "BLAN", - "BONA", - "CLBJ", - "CPER", - "DCFS", - "DEJU", - "DELA", - "DSNY", "GRSM", "GUAN", "HARV", @@ -138,7 +127,18 @@ "UNDE", "WOOD", "WREF", - "YELL" + "YELL", + "ABBY", + "BARR", + "BART", + "BLAN", + "BONA", + "CLBJ", + "CPER", + "DCFS", + "DEJU", + "DELA", + "DSNY" ], "table:columns": [ { diff --git a/catalog/scores/Terrestrial/Daily_latent_heat_flux/models/tg_arima.json b/catalog/scores/Terrestrial/Daily_latent_heat_flux/models/tg_arima.json index 6e9c92db6b..a2dcbf3d7a 100644 --- a/catalog/scores/Terrestrial/Daily_latent_heat_flux/models/tg_arima.json +++ b/catalog/scores/Terrestrial/Daily_latent_heat_flux/models/tg_arima.json @@ -9,10 +9,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-89.5373, 46.2339], - [-99.2413, 47.1282], - [-121.9519, 45.8205], - [-110.5391, 44.9535], [-122.3303, 45.7624], [-156.6194, 71.2824], [-71.2874, 44.0639], @@ -55,13 +51,17 @@ [-119.006, 37.0058], [-149.3705, 68.6611], [-89.5857, 45.4937], - [-95.1921, 39.0404] + [-95.1921, 39.0404], + [-89.5373, 46.2339], + [-99.2413, 47.1282], + [-121.9519, 45.8205], + [-110.5391, 44.9535] ] }, "properties": { "title": "tg_arima", - "description": "All scores for the Daily_latent_heat_flux 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: UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS.\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", + "description": "All scores for the Daily_latent_heat_flux 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: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL.\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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-02T00:00:00Z", "providers": [ @@ -92,10 +92,6 @@ "le", "Daily", "P1D", - "UNDE", - "WOOD", - "WREF", - "YELL", "ABBY", "BARR", "BART", @@ -138,7 +134,11 @@ "TEAK", "TOOL", "TREE", - "UKFS" + "UKFS", + "UNDE", + "WOOD", + "WREF", + "YELL" ], "table:columns": [ { diff --git a/catalog/scores/Terrestrial/Daily_latent_heat_flux/models/tg_ets.json b/catalog/scores/Terrestrial/Daily_latent_heat_flux/models/tg_ets.json index 5313f36da8..9201af495f 100644 --- a/catalog/scores/Terrestrial/Daily_latent_heat_flux/models/tg_ets.json +++ b/catalog/scores/Terrestrial/Daily_latent_heat_flux/models/tg_ets.json @@ -9,20 +9,6 @@ "geometry": { "type": "MultiPoint", "coordinates": [ - [-122.3303, 45.7624], - [-156.6194, 71.2824], - [-71.2874, 44.0639], - [-78.0418, 39.0337], - [-147.5026, 65.154], - [-97.57, 33.4012], - [-104.7456, 40.8155], - [-99.1066, 47.1617], - [-145.7514, 63.8811], - [-87.8039, 32.5417], - [-81.4362, 28.1251], - [-83.5019, 35.689], - [-66.8687, 17.9696], - [-72.1727, 42.5369], [-149.2133, 63.8758], [-84.4686, 31.1948], [-106.8425, 32.5907], @@ -55,13 +41,27 @@ [-89.5373, 46.2339], [-99.2413, 47.1282], [-121.9519, 45.8205], - [-110.5391, 44.9535] + [-110.5391, 44.9535], + [-122.3303, 45.7624], + [-156.6194, 71.2824], + [-71.2874, 44.0639], + [-78.0418, 39.0337], + [-147.5026, 65.154], + [-97.57, 33.4012], + [-104.7456, 40.8155], + [-99.1066, 47.1617], + [-145.7514, 63.8811], + [-87.8039, 32.5417], + [-81.4362, 28.1251], + [-83.5019, 35.689], + [-66.8687, 17.9696], + [-72.1727, 42.5369] ] }, "properties": { "title": "tg_ets", - "description": "All scores for the Daily_latent_heat_flux 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: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL.\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", + "description": "All scores for the Daily_latent_heat_flux 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: HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL, ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV.\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": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-02T00:00:00Z", "providers": [ @@ -92,20 +92,6 @@ "le", "Daily", "P1D", - "ABBY", - "BARR", - "BART", - "BLAN", - "BONA", - "CLBJ", - "CPER", - "DCFS", - "DEJU", - "DELA", - "DSNY", - "GRSM", - "GUAN", - "HARV", "HEAL", "JERC", "JORN", @@ -138,7 +124,21 @@ "UNDE", "WOOD", "WREF", - "YELL" + "YELL", + "ABBY", + "BARR", + "BART", + "BLAN", + "BONA", + "CLBJ", + "CPER", + "DCFS", + "DEJU", + "DELA", + "DSNY", + "GRSM", + "GUAN", + "HARV" ], "table:columns": [ { diff --git a/catalog/scores/Terrestrial/Daily_latent_heat_flux/models/tg_tbats.json b/catalog/scores/Terrestrial/Daily_latent_heat_flux/models/tg_tbats.json index ad7a55a74e..79cd21e58d 100644 --- a/catalog/scores/Terrestrial/Daily_latent_heat_flux/models/tg_tbats.json +++ b/catalog/scores/Terrestrial/Daily_latent_heat_flux/models/tg_tbats.json @@ -61,7 +61,7 @@ "properties": { "title": "tg_tbats", "description": "All scores for the Daily_latent_heat_flux 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: ABBY, BARR, BART, BLAN, BONA, CLBJ, CPER, DCFS, DEJU, DELA, DSNY, GRSM, GUAN, HARV, HEAL, JERC, JORN, KONA, KONZ, LAJA, LENO, MLBS, MOAB, NIWO, NOGP, OAES, ONAQ, ORNL, OSBS, PUUM, RMNP, SCBI, SERC, SJER, SOAP, SRER, STEI, STER, TALL, TEAK, TOOL, TREE, UKFS, UNDE, WOOD, WREF, YELL.\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", + "datetime": "2024-09-26T00:00:00Z", "start_datetime": "2024-06-13T00:00:00Z", "end_datetime": "2024-08-02T00:00:00Z", "providers": [