H13L:
Applications of GRACE, Models, and Monitoring for Water Resources Assessment I

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Session ID#: 34823

Session Description:
There have been significant advances in the use of GRACE (Gravity Recovery and Climate Experiment) satellite data in conjunction with ground-based monitoring and/or modeling at regional, national, and global scales to assess spatiotemporal variations in water resources. However, there are still significant uncertainties associated with selecting appropriate applications and interpretations of GRACE data for monitoring change in water storage at different temporal and spatial scales. In this session, we invite papers on studies that utilize GRACE satellite data, modeling, and/or monitoring to assess GRACE utility and/or examine variations in water resources within the context of droughts, floods, or sustainability. While studies from global to regional scales are appropriate, we would like to highlight work in well-studied regions such as North America where there are more detailed modeling and monitoring data available for constraint and comparison.
Primary Convener:  Meredith Reitz, United States Geological Survey (USGS), Reston, VA, United States
Conveners:  Himanshu Save, The University of Texas at Austin, Center for Space Research, Austin, TX, United States, Bridget R Scanlon, University of Texas at Austin, Bureau of Economic Geology, Jackson School of Geosciences, Austin, TX, United States and Laura E Condon, Syracuse University, Civil and Environmental Engineering, Syracuse, NY, United States
Chairs:  Bridget R Scanlon, University of Texas at Austin, Bureau of Economic Geology, Jackson School of Geosciences, Austin, TX, United States, Laura E Condon, Syracuse University, Civil and Environmental Engineering, Syracuse, NY, United States and Himanshu Save, Center for Space Research, Austin, United States
OSPA Liaison:  Bridget R Scanlon, University of Texas at Austin, Bureau of Economic Geology, Jackson School of Geosciences, Austin, TX, United States
Index Terms:

1829 Groundwater hydrology [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1873 Uncertainty assessment [HYDROLOGY]
1876 Water budgets [HYDROLOGY]

Abstracts Submitted to this Session:

Evaluation and prediction of groundwater storage changes in Beijing under the impacts of the South to North Water Diversion Project and climate change using ground observations, remote sensing and modeling (Invited) (240955)
Di Long1, Yoshihide Wada2, Jianshi Zhao3, Yang Hong3, Dagen Liu4 and Liangzhi You5, (1)Tsinghua University, Beijing, China, (2)IIASA International Institute for Applied Systems Analysis, Laxenburg, Austria, (3)Tsinghua University, Department of Hydraulic Engineering, Beijing, China, (4)Beijing Water Authority, Beijing, China, (5)International Food Policy Research Institute, Dakar, Senegal
Groundwater Withdrawals under Drought: Reconciling GRACE and Models in the United States High Plains Aquifer (247811)
Wanshu Nie, Johns Hopkins University, Baltimore, United States, Benjamin F Zaitchik, Johns Hopkins University, Baltimore, MD, United States, Sujay V Kumar, NASA GSFC, Greenbelt, MD, United States and Matthew Rodell, NASA Goddard Space Flight Center, Earth Sciences Division, Greenbelt, MD, United States
Using GRACE Amplitude Data in Conjunction with the Spatial Distribution of Groundwater Recharge to Estimate the Components of the Terrestrial Water Storage Anomaly across the Contiguous United States (281420)
Ward E Sanford, USGS, Integrated Modeling and Prediction Division, Reston, United States, Meredith Reitz, United States Geological Survey (USGS), Reston, VA, United States and Wes Zell, United States Geological Survey, Reston, VA, United States
Simulation of space-based (GRACE) gravity variations caused by storage changes in large confined and unconfined aquifers (287781)
Donald R Pool, USGS Arizona Water Science Center, Tucson, AZ, United States and Bridget R Scanlon, University of Texas at Austin, Bureau of Economic Geology, Jackson School of Geosciences, Austin, TX, United States
Daily GRACE storage anomaly data for characterization of dynamic storage-discharge relationships of natural drainage basins (248615)
Durga Sharma1, Swagat Patnaik1, John T Reager II2 and Basudev Biswal1, (1)Indian Institute of Technology Hyderabad, Hydearbad, India, (2)NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Improving the realism of hydrologic model functioning through GRACE (269296)
Oldrich Rakovec, Czech University of Life Sciences, Water Resources and Environmental Modelling, Prague, Czech Republic, Rohini Kumar, Helmholtz Centre for Environmental Research GmbH – UFZ, Leipzig, Germany, Computational Hydrosystems, Leipzig, Germany, Sabine Attinger, Helmholtz Centre for Environmental Research UFZ Leipzig, Department of Computational Hydrosystems, Leipzig, Germany and Luis Samaniego, Helmholtz Centre for Environmental Research GmbH – UFZ, Computational Hydrosystems, Leipzig, Germany

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