forked from LTREB-reservoirs/vera4cast
-
Notifications
You must be signed in to change notification settings - Fork 4
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge branch 'main' of https://github.com/eco4cast/neon4cast-ci
# Conflicts: # catalog/forecasts/Terrestrial/30min_latent_heat_flux/collection.json # catalog/forecasts/Terrestrial/Daily_Net_ecosystem_exchange/collection.json # catalog/forecasts/collection.json # catalog/forecasts/models/collection.json # catalog/forecasts/models/model_items/persistenceRW.json # catalog/forecasts/models/model_items/tg_arima.json # catalog/forecasts/models/model_items/tg_bag_mlp.json # catalog/forecasts/models/model_items/tg_ets.json # catalog/forecasts/models/model_items/tg_humidity_lm.json # catalog/forecasts/models/model_items/tg_humidity_lm_all_sites.json # catalog/forecasts/models/model_items/tg_lasso.json # catalog/forecasts/models/model_items/tg_precip_lm.json # catalog/forecasts/models/model_items/tg_precip_lm_all_sites.json # catalog/forecasts/models/model_items/tg_randfor.json # catalog/forecasts/models/model_items/tg_tbats.json
- Loading branch information
Showing
163 changed files
with
2,637 additions
and
436 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
|
@@ -183,7 +183,7 @@ | |
"interval": [ | ||
[ | ||
"2023-01-01T00:00:00Z", | ||
"2024-01-24T00:00:00Z" | ||
"2024-02-05T00:00:00Z" | ||
] | ||
] | ||
} | ||
|
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
|
@@ -68,7 +68,7 @@ | |
"interval": [ | ||
[ | ||
"2023-01-01T00:00:00Z", | ||
"2024-12-09T00:00:00Z" | ||
"2024-12-23T00:00:00Z" | ||
] | ||
] | ||
} | ||
|
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
|
@@ -128,7 +128,7 @@ | |
"interval": [ | ||
[ | ||
"2023-01-02T00:00:00Z", | ||
"2024-12-09T00:00:00Z" | ||
"2024-12-23T00:00:00Z" | ||
] | ||
] | ||
} | ||
|
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
|
@@ -128,7 +128,7 @@ | |
"interval": [ | ||
[ | ||
"2023-01-02T00:00:00Z", | ||
"2024-12-09T00:00:00Z" | ||
"2024-12-23T00:00:00Z" | ||
] | ||
] | ||
} | ||
|
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
|
@@ -63,7 +63,7 @@ | |
"interval": [ | ||
[ | ||
"2023-01-01T00:00:00Z", | ||
"2024-12-09T00:00:00Z" | ||
"2024-12-23T00:00:00Z" | ||
] | ||
] | ||
} | ||
|
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
|
@@ -63,7 +63,7 @@ | |
"interval": [ | ||
[ | ||
"2023-01-01T00:00:00Z", | ||
"2024-12-09T00:00:00Z" | ||
"2024-12-23T00:00:00Z" | ||
] | ||
] | ||
} | ||
|
147 changes: 147 additions & 0 deletions
147
catalog/forecasts/Terrestrial/30min_latent_heat_flux/collection.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,147 @@ | ||
{ | ||
"id": "30min_latent_heat_flux", | ||
"description": "This page includes all models for the 30min_latent_heat_flux variable.", | ||
"stac_version": "1.0.0", | ||
"license": "CC0-1.0", | ||
"stac_extensions": [ | ||
"https://stac-extensions.github.io/scientific/v1.0.0/schema.json", | ||
"https://stac-extensions.github.io/item-assets/v1.0.0/schema.json", | ||
"https://stac-extensions.github.io/table/v1.2.0/schema.json" | ||
], | ||
"type": "Collection", | ||
"links": [ | ||
{ | ||
"rel": "item", | ||
"type": "application/json", | ||
"href": "../../models/model_items/climatology.json" | ||
}, | ||
{ | ||
"rel": "parent", | ||
"type": "application/json", | ||
"href": "../collection.json" | ||
}, | ||
{ | ||
"rel": "root", | ||
"type": "application/json", | ||
"href": "../collection.json" | ||
}, | ||
{ | ||
"rel": "self", | ||
"type": "application/json", | ||
"href": "collection.json" | ||
}, | ||
{ | ||
"rel": "cite-as", | ||
"href": "https://doi.org/10.1002/fee.2616" | ||
}, | ||
{ | ||
"rel": "about", | ||
"href": "https://projects.ecoforecast.org/neon4cast-docs/", | ||
"type": "text/html", | ||
"title": "NEON Ecological Forecasting Challenge Documentation" | ||
}, | ||
{ | ||
"rel": "describedby", | ||
"href": "https://projects.ecoforecast.org/neon4cast-docs/", | ||
"title": "NEON Forecast Challenge Dashboard", | ||
"type": "text/html" | ||
} | ||
], | ||
"title": "30min_latent_heat_flux", | ||
"extent": { | ||
"spatial": { | ||
"bbox": [ | ||
[-156.6194, 17.9696, -66.8687, 71.2824] | ||
] | ||
}, | ||
"temporal": { | ||
"interval": [ | ||
[ | ||
"2023-11-14T00:00:00Z", | ||
"2024-01-09T00:00:00Z" | ||
] | ||
] | ||
} | ||
}, | ||
"table:columns": [ | ||
{ | ||
"name": "reference_datetime", | ||
"type": "timestamp[us, tz=UTC]", | ||
"description": "datetime that the forecast was initiated (horizon = 0)" | ||
}, | ||
{ | ||
"name": "datetime", | ||
"type": "timestamp[us, tz=UTC]", | ||
"description": "datetime of the forecasted value (ISO 8601)" | ||
}, | ||
{ | ||
"name": "site_id", | ||
"type": "string", | ||
"description": "For forecasts that are not on a spatial grid, use of a site dimension that maps to a more detailed geometry (points, polygons, etc.) is allowable. In general this would be documented in the external metadata (e.g., alook-up table that provides lon and lat)" | ||
}, | ||
{ | ||
"name": "family", | ||
"type": "string", | ||
"description": "For ensembles: “ensemble.” Default value if unspecified for probability distributions: Name of the statistical distribution associated with the reported statistics. The “sample” distribution is synonymous with “ensemble.”For summary statistics: “summary.”" | ||
}, | ||
{ | ||
"name": "parameter", | ||
"type": "string", | ||
"description": "ensemble member or distribution parameter" | ||
}, | ||
{ | ||
"name": "prediction", | ||
"type": "double", | ||
"description": "predicted value for variable" | ||
}, | ||
{ | ||
"name": "pub_datetime", | ||
"type": "timestamp[us, tz=UTC]", | ||
"description": "datetime that forecast was submitted" | ||
}, | ||
{ | ||
"name": "project_id", | ||
"type": "string", | ||
"description": "unique identifier for the forecast project" | ||
}, | ||
{ | ||
"name": "duration", | ||
"type": "string", | ||
"description": "temporal duration of forecast (hourly, daily, etc.); follows ISO 8601 duration convention" | ||
}, | ||
{ | ||
"name": "variable", | ||
"type": "string", | ||
"description": "name of forecasted variable" | ||
}, | ||
{ | ||
"name": "model_id", | ||
"type": "string", | ||
"description": "unique model identifier" | ||
}, | ||
{ | ||
"name": "reference_date", | ||
"type": "string", | ||
"description": "date that the forecast was initiated" | ||
} | ||
], | ||
"assets": { | ||
"data": { | ||
"href": "\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=PT30M/variable=le?endpoint_override=sdsc.osn.xsede.org\"", | ||
"type": "application/x-parquet", | ||
"title": "Database Access", | ||
"roles": [ | ||
"data" | ||
], | ||
"description": "Use `arrow` for remote access to the database. This R code will return results for forecasts of the variable by the specific model .\n\n### R\n\n```{r}\n# Use code below\n\nall_results <- arrow::open_dataset(\"s3://anonymous@bio230014-bucket01/challenges/forecasts/parquet/project_id=neon4cast/duration=PT30M/variable=le?endpoint_override=sdsc.osn.xsede.org\")\ndf <- all_results |> dplyr::collect()\n\n```\n \n\nYou can use dplyr operations before calling `dplyr::collect()` to `summarise`, `select` columns, and/or `filter` rows prior to pulling the data into a local `data.frame`. Reducing the data that is pulled locally will speed up the data download speed and reduce your memory usage.\n\n\n" | ||
}, | ||
"thumbnail": { | ||
"href": "pending", | ||
"type": "image/JPEG", | ||
"roles": [ | ||
"thumbnail" | ||
], | ||
"title": "pending" | ||
} | ||
} | ||
} |
Oops, something went wrong.