@article{Massoud-2018-Projecting,
title = "Projecting groundwater storage changes in California{'}s Central Valley",
author = "Massoud, Elias and
Purdy, A. J. and
Miro, Michelle E. and
Famiglietti, J. S.",
journal = "Scientific Reports, Volume 8, Issue 1",
volume = "8",
number = "1",
year = "2018",
publisher = "Springer Science and Business Media LLC",
url = "https://gwf-uwaterloo.github.io/gwf-publications/G18-80001",
doi = "10.1038/s41598-018-31210-1",
abstract = "Accurate and detailed knowledge of California's groundwater is of paramount importance for statewide water resources planning and management, and to sustain a multi-billion-dollar agriculture industry during prolonged droughts. In this study, we use water supply and demand information from California's Department of Water Resources to develop an aggregate groundwater storage model for California's Central Valley. The model is evaluated against 34 years of historic estimates of changes in groundwater storage derived from the United States Geological Survey's Central Valley Hydrologic Model (USGS CVHM) and NASA's Gravity Recovery and Climate Experiment (NASA GRACE) satellites. The calibrated model is then applied to predict future changes in groundwater storage for the years 2015-2050 under various precipitation scenarios from downscaled climate projections. We also discuss and project potential management strategies across different annual supply and demand variables and how they affect changes in groundwater storage. All simulations support the need for collective statewide management intervention to prevent continued depletion of groundwater availability.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="Massoud-2018-Projecting">
<titleInfo>
<title>Projecting groundwater storage changes in California’s Central Valley</title>
</titleInfo>
<name type="personal">
<namePart type="given">Elias</namePart>
<namePart type="family">Massoud</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">A</namePart>
<namePart type="given">J</namePart>
<namePart type="family">Purdy</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Michelle</namePart>
<namePart type="given">E</namePart>
<namePart type="family">Miro</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">J</namePart>
<namePart type="given">S</namePart>
<namePart type="family">Famiglietti</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2018</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<genre authority="bibutilsgt">journal article</genre>
<relatedItem type="host">
<titleInfo>
<title>Scientific Reports, Volume 8, Issue 1</title>
</titleInfo>
<originInfo>
<issuance>continuing</issuance>
<publisher>Springer Science and Business Media LLC</publisher>
</originInfo>
<genre authority="marcgt">periodical</genre>
<genre authority="bibutilsgt">academic journal</genre>
</relatedItem>
<abstract>Accurate and detailed knowledge of California’s groundwater is of paramount importance for statewide water resources planning and management, and to sustain a multi-billion-dollar agriculture industry during prolonged droughts. In this study, we use water supply and demand information from California’s Department of Water Resources to develop an aggregate groundwater storage model for California’s Central Valley. The model is evaluated against 34 years of historic estimates of changes in groundwater storage derived from the United States Geological Survey’s Central Valley Hydrologic Model (USGS CVHM) and NASA’s Gravity Recovery and Climate Experiment (NASA GRACE) satellites. The calibrated model is then applied to predict future changes in groundwater storage for the years 2015-2050 under various precipitation scenarios from downscaled climate projections. We also discuss and project potential management strategies across different annual supply and demand variables and how they affect changes in groundwater storage. All simulations support the need for collective statewide management intervention to prevent continued depletion of groundwater availability.</abstract>
<identifier type="citekey">Massoud-2018-Projecting</identifier>
<identifier type="doi">10.1038/s41598-018-31210-1</identifier>
<location>
<url>https://gwf-uwaterloo.github.io/gwf-publications/G18-80001</url>
</location>
<part>
<date>2018</date>
<detail type="volume"><number>8</number></detail>
<detail type="issue"><number>1</number></detail>
</part>
</mods>
</modsCollection>
%0 Journal Article
%T Projecting groundwater storage changes in California’s Central Valley
%A Massoud, Elias
%A Purdy, A. J.
%A Miro, Michelle E.
%A Famiglietti, J. S.
%J Scientific Reports, Volume 8, Issue 1
%D 2018
%V 8
%N 1
%I Springer Science and Business Media LLC
%F Massoud-2018-Projecting
%X Accurate and detailed knowledge of California’s groundwater is of paramount importance for statewide water resources planning and management, and to sustain a multi-billion-dollar agriculture industry during prolonged droughts. In this study, we use water supply and demand information from California’s Department of Water Resources to develop an aggregate groundwater storage model for California’s Central Valley. The model is evaluated against 34 years of historic estimates of changes in groundwater storage derived from the United States Geological Survey’s Central Valley Hydrologic Model (USGS CVHM) and NASA’s Gravity Recovery and Climate Experiment (NASA GRACE) satellites. The calibrated model is then applied to predict future changes in groundwater storage for the years 2015-2050 under various precipitation scenarios from downscaled climate projections. We also discuss and project potential management strategies across different annual supply and demand variables and how they affect changes in groundwater storage. All simulations support the need for collective statewide management intervention to prevent continued depletion of groundwater availability.
%R 10.1038/s41598-018-31210-1
%U https://gwf-uwaterloo.github.io/gwf-publications/G18-80001
%U https://doi.org/10.1038/s41598-018-31210-1
Markdown (Informal)
[Projecting groundwater storage changes in California’s Central Valley](https://gwf-uwaterloo.github.io/gwf-publications/G18-80001) (Massoud et al., GWF 2018)
ACL
- Elias Massoud, A. J. Purdy, Michelle E. Miro, and J. S. Famiglietti. 2018. Projecting groundwater storage changes in California’s Central Valley. Scientific Reports, Volume 8, Issue 1, 8(1).