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Data-Driven Drought Prediction Project Model Outputs for Select Spatial Units within the Conterminous United States
This metadata record describes model outputs and supporting model code for the Data-Driven Drought Prediction project of the Water Resources Mission Area Drought Program. The data listed here include outputs of multiple machine learning model types for predicting hydrological drought at select locations within the conterminous United States. The child items referenced below correspond to different models and spatial extents (Colorado River Basin region or conterminous United States). See the list below or metadata files in each sub-folder for more details.
1. Daily streamflow percentile predictions for the Colorado River Basin region — Outputs from long short-term memory (LSTM) deep learning models corresponding to selected stream gage locations.
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "Scott D Hamshaw",
"@type": "vcard:Contact",
"hasEmail": "mailto:shamshaw@usgs.gov"
}
|
| description | This metadata record describes model outputs and supporting model code for the Data-Driven Drought Prediction project of the Water Resources Mission Area Drought Program. The data listed here include outputs of multiple machine learning model types for predicting hydrological drought at select locations within the conterminous United States. The child items referenced below correspond to different models and spatial extents (Colorado River Basin region or conterminous United States). See the list below or metadata files in each sub-folder for more details. 1. Daily streamflow percentile predictions for the Colorado River Basin region — Outputs from long short-term memory (LSTM) deep learning models corresponding to selected stream gage locations. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/P97NIH7Y",
"mediaType": "application/http",
"description": "Landing page for access to the data"
},
{
"@type": "dcat:Distribution",
"title": "Original Metadata",
"format": "XML",
"mediaType": "text/xml",
"description": "The metadata original format",
"downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.64259aead34e370832ff5e7b.xml"
}
]
|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_64259aead34e370832ff5e7b |
| keyword |
[
"Conterminous United States",
"USGS:64259aead34e370832ff5e7b",
"Upper Colorado River",
"climatologyMeteorologyAtmosphere",
"deep learning",
"drought prediction",
"droughts",
"hydrology",
"long short-term memory",
"machine learning",
"modeling",
"river systems",
"statistical analysis",
"streamflow",
"streamflow percentiles",
"streamflow predictions"
]
|
| modified | 2023-04-28T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -129.4139, 22.3380, -63.8690, 54.6819 |
| theme |
[
"Geospatial"
]
|
| title | Data-Driven Drought Prediction Project Model Outputs for Select Spatial Units within the Conterminous United States |
