An Open‐Source Web Application for Regional Analysis of GRACE Groundwater Data and Engaging Stakeholders in Groundwater Management. (31st October 2021)

• Record Type: Journal Article
• Authors: McStraw, Travis Clinton; Pulla, Sarva T.; Jones, Norman L.; Williams, Gustavious P.; David, Cédric H.; Nelson, James E.; Ames, Daniel P.
• Is Part Of: Journal of the American Water Resources Association. Volume 58:Number 6(2022)
• Page Start: 1002
• Page End: 1016
• Publication Date: 2021-10-31
• Subjects: decisions support systems -- groundwater management -- sustainability -- remote sensing; Water-supply -- Periodicals; Hydrology -- Periodicals; Water resources development -- Periodicals; Water resources development -- Environmental aspects -- Periodicals; 333.9100973
• DOI: 10.1111/1752-1688.12968
• Languages: English
• ISSNs: 1093-474X

Abstract

Abstract: Since 2002, National Aeronautics and Space Administration's Gravity Recovery and Climate Experiment (GRACE) allows scientists of various disciplines to analyze and map changes in total water storage globally. Although the raw data are available to the public, the process of viewing, manipulating, and analyzing GRACE data can be difficult for those without strong technological backgrounds in programming or geospatial software. This is particularly true for water managers in developing countries, where GRACE data could be a valuable asset for sustainable water resource management. To address this problem, we developed an open‐source utility for subsetting GRACE datasets to selected regions of interest and packaged that utility in a web application that allows water managers to quickly and easily access and visualize GRACE data. For a selected region, we use data from the three Global Land Data Assimilation System land surface models: Noah, variable infiltration capacity, and Catchment Land Surface Model, and decompose the GRACE data for total water storage into surface water, soil moisture, and groundwater components along with associated uncertainty estimates. The resulting groundwater data are in the form of groundwater storage changes over time, and a better understanding of groundwater storage trends helps water managers to more effectively respond to drought and agricultural demand in a selected region and thereby more sustainably manage groundwater resources. We demonstrate these uses in a case study from the Hindu‐Kush Himalayan region.