H52G:
Remote Sensing and Modeling of the Terrestrial Water Cycle II

Submit an Abstract to this Session



Session ID#: 34084

Session Description:
Hydrologic models and remote sensing are essential tools for studying the changing nature of the terrestrial water cycle and its various components. Advances in the areas of remote sensing and modeling allowed the integration of these two approaches and the use of multiple sensors and variables simultaneously to better understand the spatial and temporal dynamics of the water cycle and the available water resources at various scales. Some of the major missions proven valuable for hydrologic modeling include SMOS, AMSR-E/AMSR2 and SMAP for soil moisture; TRMM and GPM for precipitation; TOPEX and SWOT (planned) for water level; AIRS/AMSU for atmospheric water vapor and air temperature profiles; GRACE for water storage changes and MODIS for vegetation and surface temperature. We invite multi-scale, multi-variable and multi-sensor studies that use remote sensing techniques and modeling approaches to assess the spatiotemporal variability in water resources and study the terrestrial water cycle.
Primary Convener:  Iliana E Mladenova, NASA GSFC, Greenbelt, MD, United States
Conveners:  Venkataraman Lakshmi, University of Virginia, Civil and Environmental Engineering, Charlottesville, United States and Sayed M. Bateni, University of Hawaii at Manoa, Civil and Environmental Engineering and Water Resources Research Center, Honolulu, HI, United States
Chairs:  Iliana E Mladenova, NASA GSFC, Greenbelt, MD, United States and Sayed M. Bateni, University of Hawaii at Manoa, Civil and Environmental Engineering and Water Resources Research Center, Honolulu, HI, United States
OSPA Liaison:  Iliana E Mladenova, NASA GSFC, Greenbelt, MD, United States
Index Terms:

1655 Water cycles [GLOBAL CHANGE]
1816 Estimation and forecasting [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]

Abstracts Submitted to this Session:

Christopher Hain, NASA Marshall Space Flight Center, Earth Science Office, Huntsville, United States, Martha Anderson, USDA-Agricultural Research Service Beltsville, Hydrology and Remote Sensing, Beltsville, United States, Mitchell A Schull, Agricultural Research Service Beltsville, Beltsville, MD, United States and Christopher M U Neale, University of Nebraska, Daugherty Water for Food Global Institute, Lincoln, NE, United States
Christian Kummerow, Colorado State University, Department of Atmospheric Science, Fort Collins, United States and Paula Brown, Colorado State University, Fort Collins, CO, United States
Sayed M. Bateni, University of Hawaii at Manoa, Civil and Environmental Engineering and Water Resources Research Center, Honolulu, HI, United States and Elahe Tajfar, University of Hawaii, Civil and Environmental Engineering, Honolulu, United States
Marc Simard1, Ke Liu2, Michael William Denbina3, Daniel Jensen4, Ernesto Rodriguez5, Tien-Hao Liao3, Alexandra Christensen6, Cathleen E Jones1, Robert Twilley7, Michael P Lamb8 and Nathan Marc Thomas9, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)University of Tasmania, Hobart, TAS, Australia, (3)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (4)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (5)JPL/NASA/Caltech, Pasadena, CA, United States, (6)Jet Propulsion Laboratory, Suborbital Radar Science and Engineering, Pasadena, United States, (7)Louisiana State University, Department of Oceanography & Coastal Sciences, Baton Rouge, United States, (8)California Institute of Technology, Geological and Planetary Sciences, Pasadena, United States, (9)University of Maryland, College Park, United States

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