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Understanding Groundwater Variabilit...

Rother, David E.

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Understanding Groundwater Variability: Modeling Groundwater Storage Change in Southern California.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Understanding Groundwater Variability: Modeling Groundwater Storage Change in Southern California./
Author:	Rother, David E.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	60 p.
Notes:	Source: Masters Abstracts International, Volume: 58-01.
Contained By:	Masters Abstracts International58-01(E).
Subject:	Geography. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10928433
ISBN:	9780438270633

Understanding Groundwater Variability: Modeling Groundwater Storage Change in Southern California.
Rother, David E.

Understanding Groundwater Variability: Modeling Groundwater Storage Change in Southern California. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 60 p.

Source: Masters Abstracts International, Volume: 58-01.

Thesis (M.S.)--San Diego State University, 2018.

This thesis details the development, calibration, and application of an atmosphere-landgroundwater model that is used to simulate groundwater storage change in southern California between November 2005 and December 2016. The model consists of three separate components: the Weather Research and Forecasting (WRF) atmospheric model, the Simplified Simple Biosphere (SSiB) model, and a modified version of the Simple Groundwater Model (SIMGM). A full coupling of the WRF/SSiB/SIMGM allows for a complete simulation of the physical and biophysical processes that influence groundwater storage, as well as their interactions with regional climate. The primary dataset used to validate the results of the model is of terrestrial water storage provided by NASA's Gravity Recovery and Climate Experiment (GRACE) satellites. The analysis of in-situ USGS groundwater well water table depth measurements indicate that GRACE adequately represents groundwater storage fluctuations in the region. A series of physics scheme combinations within the WRF model were tested to determine which most accurately simulated patterns of precipitation and temperature during November 2005 - February 2006. Further sensitivity tests were performed on the SSiB/SIMGM model, specifically on the equation representing groundwater discharge. Time series analyses comparing the atmosphere-land-groundwater model and GRACE observational data suggest that the model tends to simulate terrestrial water storage more accurately during wet periods than in dry, however, it underestimated the intensity of the negative groundwater anomaly compared to the offline model. The statistical tests used to evaluate the model's performance, including mean bias and correlation, indicate that the WRF/SSiB/SIMGM coupled model captured precipitation and temperature with good accuracy, however, the model underestimated the drought signal displayed in the GRACE terrestrial water storage dataset. Overestimation of precipitation over Arizona and along California's south-eastern border was the primary cause of excess soil moisture and water storage in these areas.

ISBN: 9780438270633Subjects--Topical Terms:

524010
Geography.

Understanding Groundwater Variability: Modeling Groundwater Storage Change in Southern California.
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