Aquaculture and Irrigation Water-Use Model (AIWUM) version 2.0 Updated Input and Output Datasets for the Mississippi Alluvial Plain, 2014–2023

This data release contains updated monthly and annual water-use estimates from the Aquaculture and Irrigation Water-Use Model (AIWUM) version 2.0 for the Mississippi Alluvial Plain (MAP) from 2014 to 2023. AIWUM version 2.0 employs remote sensing datasets and machine learning to advance the ability to predict groundwater use in regions with scarce or limited in-situ groundwater withdrawal data availability.  The model utilizes hydrometeorological data and Distributed Random Forests, an ensemble machine learning algorithm, to estimate annual and monthly groundwater use for irrigation and aquaculture throughout the MAP region at a 1-km resolution (Majumdar and others, 2024).  Aquaculture and irrigation estimates contained in this data release are representative of groundwater withdrawal for six different categories: aquaculture, cotton, corn, rice, soybeans, and all other crops.

Contained in this data release are monthly and annual estimates by land-use category and monthly and annual total estimates. Monthly and annual totals are a summation of water use for aquaculture, cotton, corn, rice, soybeans, and all other crops, by month and by year. Estimates are provided here in multiple forms: monthly estimates by use, monthly total estimates, annual estimates by use, and annual total estimates. All estimates are in units of in cubic meters per square kilometer.

Further details about this application of the AIWUM model can be found in the related primary publication. The primary publication can be accessed through links in the related external resources section below. These data provide updates to the previously published AIWUM version 2.0 estimates for 2014 to 2020 in https://doi.org/10.5066/P9CET25K.