Aquaculture and Irrigation Water-Use Model (AIWUM) version 2.0 Updated Input and Output Datasets for the Mississippi Alluvial Plain, 2014–2023
The Aquaculture and Irrigation Water Use Model (AIWUM) 2.0 employs remote sensing data sets and Distributed Random Forests (DRF), an ensemble machine learning algorithm, to predict annual groundwater use associated with irrigation and aquaculture from 2014 to 2023 in the Mississippi Alluvial Plain (MAP) and Mississippi embayment regions at 1-kilometer and 100-meter resolution (Majumdar and others, 2023). The response variable for the model are groundwater withdrawal rates from flowmeters in the Mississippi delta region associated with the Delta Voluntary Metering Program (DVMP). Explanatory variables include a variety of climate, remote sensing, and GIS data. Annual predictions of groundwater use from the DRF are disaggregated to monthly groundwater use using crop-specific groundwater withdrawal data from existing flowmeters across the MAP. This data release provides a complete model archive and output datasets associated with AIWUM 2.0. Processing steps for attributing explanatory variables to groundwater withdrawal rates at flow-meters are available in the 'Data Quality' section of this metadata file.
The input files needed to run the AIWUM 2.0 model are as follows: PRISM climatological datasets for precipitation and maximum temperature, Cropland Data Layer datasets, real-time flowmeter data from the Mississippi DVMP, real-time NWIS data, shapefiles of areas permitted for groundwater withdrawals, verified irrigated lands datasets, National Hydrography Dataset, TerraClimate runoff and soil moisture datasets, remote sensing evapotranspiration datasets, SWB hydrologic soil group, and SWB irrigation. The AIWUM 2.0 model produces annual and monthly rasters for total water use at 1km and 100m resolution. Crop-specific water use rasters are also produced annual at 1km and 100m resolution.
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "010:12" ] |
| contactPoint |
{ "fn": "Collin M. Haugh", "@type": "vcard:Contact", "hasEmail": "mailto:chaugh@usgs.gov" } |
| description | The Aquaculture and Irrigation Water Use Model (AIWUM) 2.0 employs remote sensing data sets and Distributed Random Forests (DRF), an ensemble machine learning algorithm, to predict annual groundwater use associated with irrigation and aquaculture from 2014 to 2023 in the Mississippi Alluvial Plain (MAP) and Mississippi embayment regions at 1-kilometer and 100-meter resolution (Majumdar and others, 2023). The response variable for the model are groundwater withdrawal rates from flowmeters in the Mississippi delta region associated with the Delta Voluntary Metering Program (DVMP). Explanatory variables include a variety of climate, remote sensing, and GIS data. Annual predictions of groundwater use from the DRF are disaggregated to monthly groundwater use using crop-specific groundwater withdrawal data from existing flowmeters across the MAP. This data release provides a complete model archive and output datasets associated with AIWUM 2.0. Processing steps for attributing explanatory variables to groundwater withdrawal rates at flow-meters are available in the 'Data Quality' section of this metadata file. The input files needed to run the AIWUM 2.0 model are as follows: PRISM climatological datasets for precipitation and maximum temperature, Cropland Data Layer datasets, real-time flowmeter data from the Mississippi DVMP, real-time NWIS data, shapefiles of areas permitted for groundwater withdrawals, verified irrigated lands datasets, National Hydrography Dataset, TerraClimate runoff and soil moisture datasets, remote sensing evapotranspiration datasets, SWB hydrologic soil group, and SWB irrigation. The AIWUM 2.0 model produces annual and monthly rasters for total water use at 1km and 100m resolution. Crop-specific water use rasters are also produced annual at 1km and 100m resolution. |
| distribution |
[ { "@type": "dcat:Distribution", "title": "Digital Data", "format": "XML", "accessURL": "https://doi.org/10.5066/P13PQXTH", "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.6864312cd4be025fd24f0253.xml" } ] |
| identifier | http://datainventory.doi.gov/id/dataset/USGS_6864312cd4be025fd24f0253 |
| keyword |
[ "AIWUM", "Alabama", "Arkansas", "Distributed Random Forests", "Illinois", "Kentucky", "Louisiana", "Mississippi", "Missouri", "Tennessee", "Texas", "USGS:6864312cd4be025fd24f0253", "aquaculture", "groundwater", "irrigation", "water use" ] |
| modified | 2026-01-22T00:00:00Z |
| publisher |
{ "name": "U.S. Geological Survey", "@type": "org:Organization" } |
| spatial | -94.1146, 31.1925, -86.7537, 37.4650 |
| theme |
[ "geospatial" ] |
| title | Aquaculture and Irrigation Water-Use Model (AIWUM) version 2.0 Updated Input and Output Datasets for the Mississippi Alluvial Plain, 2014–2023 |
