An Open-Source Web-Application for Regional Analysis of GRACE Groundwater Data and Engaging Stakeholders in Groundwater Management
General Material Designation
[Thesis]
First Statement of Responsibility
McStraw, Travis Clinton
Subsequent Statement of Responsibility
Jones, Norman L.
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
Brigham Young University
Date of Publication, Distribution, etc.
2020
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
105
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
M.Sc.
Body granting the degree
Brigham Young University
Text preceding or following the note
2020
SUMMARY OR ABSTRACT
Text of Note
Since 2002, NASA's GRACE Satellite mission has allowed scientists of various disciplines to analyze and map the changes in Earth's total water storage on a global scale. Although the raw data is available to the public, the process of viewing, manipulating, and analyzing the 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, I have a developed a utility for subsetting GRACE data to particular regions of interest and I have packaged that utility in a web app that allows water managers to quickly and easily visualize GRACE data these regions. Using the GLDAS-Noah Land Surface Model, the total water storage for the regions derived from the raw GRACE data is decomposed into surface water, soil moisture, and groundwater components. The GRACE Groundwater Subsetting Tool is easily deployed, open-source, and provides access to all of the major signal processing solutions available for the total water storage data. The application has been successfully applied to both developed and developing countries in various parts of the world, including the Central Valley region in California, Bangladesh, the La Plata River Basin in South America, and the SERVIR Hindu Kush Himalaya region. The groundwater data in this application has proven capable of monitoring groundwater use based on drought trends as well as agricultural demand in a number of locations and can assist in uniting decision makers and water users in the mission of sustainably managing the world's groundwater resources.