Automated commit: Update data folder

earthcube · Sep 7, 2024 · 76ef79a · 76ef79a
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diff --git a/data/challenge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/collection.json b/data/challenge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/collection.json
@@ -11,107 +11,107 @@
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/tg_tbats.json"
+            "href": "./models/USGSHABs1.json"
         },
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/tg_temp_lm.json"
+            "href": "./models/cb_prophet.json"
         },
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/tg_temp_lm_all_sites.json"
+            "href": "./models/climatology.json"
         },
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/tg_humidity_lm.json"
+            "href": "./models/persistenceRW.json"
         },
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/tg_humidity_lm_all_sites.json"
+            "href": "./models/procBlanchardMonod.json"
         },
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/tg_lasso.json"
+            "href": "./models/procCTMIMonod.json"
         },
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/tg_precip_lm.json"
+            "href": "./models/procEppleyNorbergMonod.json"
         },
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/tg_precip_lm_all_sites.json"
+            "href": "./models/procEppleyNorbergSteele.json"
         },
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/tg_randfor.json"
+            "href": "./models/procHinshelwoodMonod.json"
         },
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/USGSHABs1.json"
+            "href": "./models/procHinshelwoodSteele.json"
         },
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/cb_prophet.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_humidity_lm.json"
         },
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/procBlanchardMonod.json"
+            "href": "./models/tg_humidity_lm_all_sites.json"
         },
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/procCTMIMonod.json"
+            "href": "./models/tg_lasso.json"
         },
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/procEppleyNorbergMonod.json"
+            "href": "./models/tg_precip_lm.json"
         },
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/procEppleyNorbergSteele.json"
+            "href": "./models/tg_precip_lm_all_sites.json"
         },
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/procHinshelwoodMonod.json"
+            "href": "./models/tg_randfor.json"
         },
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/procHinshelwoodSteele.json"
+            "href": "./models/tg_tbats.json"
         },
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/tg_arima.json"
+            "href": "./models/tg_temp_lm.json"
         },
         {
             "rel": "item",
             "type": "application/json",
-            "href": "./models/tg_ets.json"
+            "href": "./models/tg_temp_lm_all_sites.json"
         },
         {
             "rel": "parent",

diff --git a/data/challenge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/USGSHABs1.json b/data/challenge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/USGSHABs1.json
@@ -31,7 +31,7 @@
     "properties": {
         "title": "USGSHABs1",
         "description": "All forecasts for the Daily_Chlorophyll_a variable for the USGSHABs1 model. Information for the model is provided as follows: NA.\n                                    The model predicts this variable at the following sites: BLWA, TOMB, FLNT.\n                                    Forecasts are the raw forecasts that includes all ensemble members or distribution parameters. Due to the size of the raw forecasts, we recommend accessing the forecast summaries or scores to analyze forecasts (unless you need the individual ensemble members)",
-        "datetime": "2024-09-05T00:00:00Z",
+        "datetime": "2024-09-06T00:00:00Z",
         "start_datetime": "2023-11-12T00:00:00Z",
         "end_datetime": "2024-03-09T00:00:00Z",
         "providers": [

diff --git a/data/challenge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/cb_prophet.json b/data/challenge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/cb_prophet.json
@@ -55,7 +55,7 @@
     "properties": {
         "title": "cb_prophet",
         "description": "All forecasts for the Daily_Chlorophyll_a variable for the cb_prophet model. Information for the model is provided as follows: The Prophet model is an empirical model, specifically a non-linear regression model that includes\nseasonality effects (Taylor & Letham, 2018). The model relies on Bayesian estimation with an additive\nwhite noise error term.\n                                    The model predicts this variable at the following sites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB.\n                                    Forecasts are the raw forecasts that includes all ensemble members or distribution parameters. Due to the size of the raw forecasts, we recommend accessing the forecast summaries or scores to analyze forecasts (unless you need the individual ensemble members)",
-        "datetime": "2024-09-05T00:00:00Z",
+        "datetime": "2024-09-06T00:00:00Z",
         "start_datetime": "2023-11-14T00:00:00Z",
         "end_datetime": "2024-03-10T00:00:00Z",
         "providers": [

diff --git a/data/challenge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/climatology.json b/data/challenge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/climatology.json
@@ -59,7 +59,7 @@
     "properties": {
         "title": "climatology",
         "description": "All forecasts 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, FLNT, SUGG, TOMB, CRAM, LIRO, PRPO, PRLA, TOOK, USGS-01427510, USGS-01463500, USGS-05543010, USGS-05553700, USGS-05558300, USGS-05586300, USGS-14181500, USGS-14211010, USGS-14211720.\n                                    Forecasts are the raw forecasts that includes all ensemble members or distribution parameters. Due to the size of the raw forecasts, we recommend accessing the forecast summaries or scores to analyze forecasts (unless you need the individual ensemble members)",
-        "datetime": "2024-09-05T00:00:00Z",
+        "datetime": "2024-09-06T00:00:00Z",
         "start_datetime": "2023-01-02T00:00:00Z",
         "end_datetime": "2024-09-26T00:00:00Z",
         "providers": [

diff --git a/...challenge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/persistenceRW.json b/...challenge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/persistenceRW.json
@@ -59,7 +59,7 @@
     "properties": {
         "title": "persistenceRW",
         "description": "All forecasts 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: LIRO, PRLA, PRPO, SUGG, TOMB, TOOK, BARC, BLWA, CRAM, FLNT.\n                                    Forecasts are the raw forecasts that includes all ensemble members or distribution parameters. Due to the size of the raw forecasts, we recommend accessing the forecast summaries or scores to analyze forecasts (unless you need the individual ensemble members)",
-        "datetime": "2024-09-05T00:00:00Z",
+        "datetime": "2024-09-06T00:00:00Z",
         "start_datetime": "2023-11-15T00:00:00Z",
         "end_datetime": "2024-09-25T00:00:00Z",
         "providers": [

diff --git a/...enge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/procBlanchardMonod.json b/...enge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/procBlanchardMonod.json
@@ -47,7 +47,7 @@
     "properties": {
         "title": "procBlanchardMonod",
         "description": "All forecasts for the Daily_Chlorophyll_a variable for the procBlanchardMonod 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                                    Forecasts are the raw forecasts that includes all ensemble members or distribution parameters. Due to the size of the raw forecasts, we recommend accessing the forecast summaries or scores to analyze forecasts (unless you need the individual ensemble members)",
-        "datetime": "2024-09-05T00:00:00Z",
+        "datetime": "2024-09-06T00:00:00Z",
         "start_datetime": "2023-11-13T00:00:00Z",
         "end_datetime": "2024-03-06T00:00:00Z",
         "providers": [

diff --git a/...challenge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/procCTMIMonod.json b/...challenge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/procCTMIMonod.json
@@ -47,7 +47,7 @@
     "properties": {
         "title": "procCTMIMonod",
         "description": "All forecasts for the Daily_Chlorophyll_a variable for the procCTMIMonod 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                                    Forecasts are the raw forecasts that includes all ensemble members or distribution parameters. Due to the size of the raw forecasts, we recommend accessing the forecast summaries or scores to analyze forecasts (unless you need the individual ensemble members)",
-        "datetime": "2024-09-05T00:00:00Z",
+        "datetime": "2024-09-06T00:00:00Z",
         "start_datetime": "2023-11-13T00:00:00Z",
         "end_datetime": "2024-03-06T00:00:00Z",
         "providers": [

diff --git a/.../neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/procEppleyNorbergMonod.json b/.../neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/procEppleyNorbergMonod.json
@@ -47,13 +47,13 @@
     "properties": {
         "title": "procEppleyNorbergMonod",
         "description": "All forecasts for the Daily_Chlorophyll_a variable for the procEppleyNorbergMonod 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                                    Forecasts are the raw forecasts that includes all ensemble members or distribution parameters. Due to the size of the raw forecasts, we recommend accessing the forecast summaries or scores to analyze forecasts (unless you need the individual ensemble members)",
-        "datetime": "2024-09-05T00:00:00Z",
+        "datetime": "2024-09-06T00:00:00Z",
         "start_datetime": "2023-11-13T00:00:00Z",
         "end_datetime": "2024-03-06T00:00:00Z",
         "providers": [
             {
-                "url": "https://projects.ecoforecast.org/neon4cast-ci/",
-                "name": "NEON Ecological Forecasting Project",
+                "url": null,
+                "name": "Abigail Lewis",
                 "roles": [
                     "producer",
                     "processor",

diff --git a/...neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/procEppleyNorbergSteele.json b/...neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/procEppleyNorbergSteele.json
@@ -47,7 +47,7 @@
     "properties": {
         "title": "procEppleyNorbergSteele",
         "description": "All forecasts for the Daily_Chlorophyll_a variable for the procEppleyNorbergSteele 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                                    Forecasts are the raw forecasts that includes all ensemble members or distribution parameters. Due to the size of the raw forecasts, we recommend accessing the forecast summaries or scores to analyze forecasts (unless you need the individual ensemble members)",
-        "datetime": "2024-09-05T00:00:00Z",
+        "datetime": "2024-09-06T00:00:00Z",
         "start_datetime": "2023-11-13T00:00:00Z",
         "end_datetime": "2024-03-06T00:00:00Z",
         "providers": [

diff --git a/...ge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/procHinshelwoodMonod.json b/...ge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/procHinshelwoodMonod.json
@@ -47,13 +47,13 @@
     "properties": {
         "title": "procHinshelwoodMonod",
         "description": "All forecasts for the Daily_Chlorophyll_a variable for the procHinshelwoodMonod 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                                    Forecasts are the raw forecasts that includes all ensemble members or distribution parameters. Due to the size of the raw forecasts, we recommend accessing the forecast summaries or scores to analyze forecasts (unless you need the individual ensemble members)",
-        "datetime": "2024-09-05T00:00:00Z",
+        "datetime": "2024-09-06T00:00:00Z",
         "start_datetime": "2023-11-13T00:00:00Z",
         "end_datetime": "2024-03-06T00:00:00Z",
         "providers": [
             {
-                "url": null,
-                "name": "Abigail Lewis",
+                "url": "https://projects.ecoforecast.org/neon4cast-ci/",
+                "name": "NEON Ecological Forecasting Project",
                 "roles": [
                     "producer",
                     "processor",

diff --git a/...e/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/procHinshelwoodSteele.json b/...e/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/procHinshelwoodSteele.json
@@ -47,7 +47,7 @@
     "properties": {
         "title": "procHinshelwoodSteele",
         "description": "All forecasts for the Daily_Chlorophyll_a variable for the procHinshelwoodSteele 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                                    Forecasts are the raw forecasts that includes all ensemble members or distribution parameters. Due to the size of the raw forecasts, we recommend accessing the forecast summaries or scores to analyze forecasts (unless you need the individual ensemble members)",
-        "datetime": "2024-09-05T00:00:00Z",
+        "datetime": "2024-09-06T00:00:00Z",
         "start_datetime": "2023-11-13T00:00:00Z",
         "end_datetime": "2024-03-06T00:00:00Z",
         "providers": [

diff --git a/data/challenge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/tg_arima.json b/data/challenge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/tg_arima.json
@@ -59,13 +59,13 @@
     "properties": {
         "title": "tg_arima",
         "description": "All forecasts 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                                    Forecasts are the raw forecasts that includes all ensemble members or distribution parameters. Due to the size of the raw forecasts, we recommend accessing the forecast summaries or scores to analyze forecasts (unless you need the individual ensemble members)",
-        "datetime": "2024-09-05T00:00:00Z",
+        "datetime": "2024-09-06T00:00:00Z",
         "start_datetime": "2023-01-01T00:00:00Z",
         "end_datetime": "2024-08-18T00:00:00Z",
         "providers": [
             {
-                "url": "https://github.com/eco4cast/Forecast_submissions/blob/main/Generate_forecasts",
-                "name": "Gregory Harrison",
+                "url": "https://projects.ecoforecast.org/neon4cast-ci/",
+                "name": "NEON Ecological Forecasting Project",
                 "roles": [
                     "producer",
                     "processor",

diff --git a/data/challenge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/tg_ets.json b/data/challenge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/tg_ets.json
@@ -59,7 +59,7 @@
     "properties": {
         "title": "tg_ets",
         "description": "All forecasts 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                                    Forecasts are the raw forecasts that includes all ensemble members or distribution parameters. Due to the size of the raw forecasts, we recommend accessing the forecast summaries or scores to analyze forecasts (unless you need the individual ensemble members)",
-        "datetime": "2024-09-05T00:00:00Z",
+        "datetime": "2024-09-06T00:00:00Z",
         "start_datetime": "2023-01-01T00:00:00Z",
         "end_datetime": "2024-08-18T00:00:00Z",
         "providers": [

diff --git a/...hallenge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/tg_humidity_lm.json b/...hallenge/neon4cast-stac/forecasts/Aquatics/Daily_Chlorophyll_a/models/tg_humidity_lm.json
@@ -14,10 +14,6 @@
     "geometry": {
         "type": "MultiPoint",
         "coordinates": [
-            [
-                -149.6106,
-                68.6307
-            ],
             [
                 -82.0084,
                 29.676
@@ -53,19 +49,23 @@
             [
                 -88.1589,
                 31.8534
+            ],
+            [
+                -149.6106,
+                68.6307
             ]
         ]
     },
     "properties": {
         "title": "tg_humidity_lm",
-        "description": "All forecasts for the Daily_Chlorophyll_a variable for the tg_humidity_lm model. Information for the model is provided as follows: The tg_humidity_lm model is a linear model fit using the function lm() in R. This is a very simple\nmodel with only one covariate: relative humidity.\n                                    The model predicts this variable at the following sites: TOOK, BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB.\n                                    Forecasts are the raw forecasts that includes all ensemble members or distribution parameters. Due to the size of the raw forecasts, we recommend accessing the forecast summaries or scores to analyze forecasts (unless you need the individual ensemble members)",
-        "datetime": "2024-09-05T00:00:00Z",
+        "description": "All forecasts for the Daily_Chlorophyll_a variable for the tg_humidity_lm model. Information for the model is provided as follows: The tg_humidity_lm model is a linear model fit using the function lm() in R. This is a very simple\nmodel with only one covariate: relative humidity.\n                                    The model predicts this variable at the following sites: BARC, BLWA, CRAM, FLNT, LIRO, PRLA, PRPO, SUGG, TOMB, TOOK.\n                                    Forecasts are the raw forecasts that includes all ensemble members or distribution parameters. Due to the size of the raw forecasts, we recommend accessing the forecast summaries or scores to analyze forecasts (unless you need the individual ensemble members)",
+        "datetime": "2024-09-06T00:00:00Z",
         "start_datetime": "2023-11-14T00:00:00Z",
         "end_datetime": "2024-03-08T00:00:00Z",
         "providers": [
             {
-                "url": "https://projects.ecoforecast.org/neon4cast-ci/",
-                "name": "NEON Ecological Forecasting Project",
+                "url": "https://github.com/eco4cast/Forecast_submissions/blob/main/Generate_forecasts",
+                "name": "Abigail Lewis",
                 "roles": [
                     "producer",
                     "processor",
@@ -90,7 +90,6 @@
             "chla",
             "Daily",
             "P1D",
-            "TOOK",
             "BARC",
             "BLWA",
             "CRAM",
@@ -99,7 +98,8 @@
             "PRLA",
             "PRPO",
             "SUGG",
-            "TOMB"
+            "TOMB",
+            "TOOK"
         ],
         "table:columns": [
             {