H21Q:
Remote Sensing Applications for Water Resources Management, Including Droughts, Floods, and Associated Water Cycle Extremes I

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Session ID#: 34089

Session Description:
Water resources management can benefit from applications of remote sensing and hydrologic models. These tools can be especially valuable during extreme events and in data-sparse regions. Observational assets include the GPM, SMAP, Terra, Aqua, Landsat, GRACE, and Sentinel satellites, and other satellite and airborne platforms. They can support the operational water resources management community in responding to climate change, increases in climate variability and the frequency of extreme events.  This session will highlight advances in the use of satellite, airborne and ground-based sensor networks to: measure the quantity/quality of hydrologic resources in the U.S. and internationally; provide information to water managers to improve water resources management; and support risk-based decision making. Topics of interest include (1) extreme events such as floods and droughts; (2) water supply and snow water resource monitoring and forecasting; and (3) evapotranspiration, soil moisture, groundwater, and agricultural water management.
Primary Convener:  Forrest S Melton, NASA Ames Research Center, Moffett Field, CA, United States
Conveners:  Bradley Doorn, NASA Headquarters, Applied Sciences Program, Water Resources & Agriculture, Washington, United States, Christine M Lee, NASA Jet Propulsion Laboratory, Pasadena, United States and Sushel Unninayar, NASA Goddard Space Flight Center, HSL, Greenbelt, MD, United States
Chairs:  Sushel Unninayar, NASA/GSFC-HSL & Morgan State University-DRED, Greenbelt, MD, United States and Bradley Doorn, NASA Headquarters, Applied Sciences Program, Water Resources & Agriculture, Washington, United States
OSPA Liaison:  Sushel Unninayar, NASA/GSFC-HSL & Morgan State University-DRED, Greenbelt, MD, United States

Cross-Listed:
  • B - Biogeosciences
  • C - Cryosphere
  • IN - Earth and Space Science Informatics
  • SI - Societal Impacts and Policy Sciences
Index Terms:

1816 Estimation and forecasting [HYDROLOGY]
1817 Extreme events [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1880 Water management [HYDROLOGY]

Abstracts Submitted to this Session:

The impact of land use change and hydroclimatic variability on landscape connectivity dynamics across surface water networks at subcontinental scale (266567)
Mirela G Tulbure1, Robbi Bishop-Taylor2 and Mark Broich1, (1)University of New South Wales, Sydney, NSW, Australia, (2)Geoscience Australia, Digital Earth Branch, Canberra, ACT, Australia
Comparison between satellite precipitation product and observation rain gauges in the Red-Thai Binh River Basin (267585)
Hung Manh Le1, Jessica R. P. Sutton2, Du Duong Bui1, Venkataraman Lakshmi3 and John D Bolten4, (1)National Center for Water Resources Planning and Investigation, Hanoi, Vietnam, (2)University of South Carolina, School of Earth Ocean and Environment, Columbia, SC, United States, (3)University of Virginia, Civil and Environmental Engineering, Charlottesville, United States, (4)Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt MD, United States
Using machine learning to predict snow water equivalent in the Sierra Nevada USA and Afghanistan (229823)
Edward Bair, University of California, Earth Research Institute, Santa Barbara, CA, United States, Karl Rittger, University of Colorado at Boulder, Institute for Arctic and Alpine Research, Boulder, United States and Jeff Dozier, University of California Santa Barbara, Santa Barbara, CA, United States
Effects of Varying Cloud Cover on Springtime Runoff in California’s Sierra Nevada (257902)
Edwin Sumargo, University of California San Diego, Scripps Institution of Oceanography, Center for Western Weather and Water Extremes, La Jolla, United States and Daniel R Cayan, Scripps Institution of Oceanography, Division of Climate, Atmospheric Sciences, and Physical Oceanography, La Jolla, United States
Improved Lower Mekong River Basin Hydrological Decision Making Using NASA Satellite-based Earth Observation Systems (240326)
Ibrahim Nourein Mohammed, NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States, Raghavan Srinivasan, Texas A&M University, Director of Spatial Sciences Laboratory, Agrilife Research, College Station, United States, Venkataraman Lakshmi, University of Virginia, Civil and Environmental Engineering, Charlottesville, VA, United States and John D Bolten, Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt MD, United States
Global Rapid Flood Mapping System with Spaceborne SAR Data (299618)
Sang-Ho Yun1, Susan E Owen2, Hook Hua3, Piyush S Agram2, Heresh Fattahi4, Cunren Liang5, Gerald Manipon3, Eric Jameson Fielding3, Paul Alan Rosen3, Frank Webb6 and Prof. Mark Simons, Ph.D.7, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Lab Caltech, Pasadena, CA, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)California Institute of Technology, Division of Geological and Planetary sciences, Seismological Laboratory, Pasadena, CA, United States, (5)California Institute of Technology, Pasadena, CA, United States, (6)JPL, Pasadena, CA, United States, (7)California Institute of Technology, Pasadena, United States

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