H51R:
Remote Sensing and Modeling of the Terrestrial Water Cycle I

Submit an Abstract to this Session



Session ID#: 34078

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 Venkataraman Lakshmi, University of Virginia, Civil and Environmental Engineering, Charlottesville, 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:

A Time Series Analysis of Global Soil Moisture Data Products for Water Cycle Studies (252935)
Xiwu Zhan1, Jifu Yin2, Jicheng Liu1, Li Fang3, Christopher Hain4, Ralph R Ferraro5 and Fuzhong Weng6, (1)NOAA College Park, College Park, MD, United States, (2)NOAA College Park, NESDIS-STAR/University of Maryland CICS, College Park, MD, United States, (3)Earth System Science Interdisciplinary Center, COLLEGE PARK, MD, United States, (4)NASA Marshall Space Flight Center, Earth Science Office, Huntsville, AL, United States, (5)NOAA Center for Satellite Applications and Reserch, SCSB, College Park, United States, (6)NOAA, Boulder, CO, United States
Parameterization of L-, C- and X-band Radiometer-based Soil Moisture Retrieval Algorithm Using In-situ Validation Sites (271796)
Ying Gao1, Andreas Colliander2, Mariko Sofie Burgin3, Jeffrey P Walker4, Chun Sik Chae3, Emmanuel Dinnat5,6, Michael H Cosh7 and Todd G Caldwell8, (1)Monash University, Melbourne, VIC, Australia, (2)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (3)Jet Propulsion Laboratory, Pasadena, CA, United States, (4)Monash University, Department of Civil Engineering, Clayton, VIC, Australia, (5)Chapman University, Center of Excellence in Earth Systems Modeling & Observations, Orange, CA, United States, (6)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (7)U.S. Department of Agriculture ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States, (8)University of Texas at Austin, Jackson School of Geosciences, Austin, United States
Field-scale surface soil moisture retrieval using L-band synthetic aperture radar data: shrublands examples (219966)
Seungbum Kim, Jet Propulsion Laboratory, Pasadena, CA, United States, Motofumi Arii, Mitsubishi Electric, Kanagawa, Japan and Thomas J Jackson, USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States
SMAP Radiometer Soil Moisture Downscaling in CONUS (210479)
Bin Fang1, Venkataraman Lakshmi1, Rajat Bindlish2 and Thomas J Jackson3, (1)University of Virginia, Civil and Environmental Engineering, Charlottesville, United States, (2)NASA GSFC, Greenbelt, United States, (3)USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States
Efficacy of Radiative Transfer Model Across Space, Time and Hydro-climates (297319)
Binayak Mohanty, Texas A&M University, Department of Biological and Agricultural Engineering, College Station, United States and Maheshwari Neelam, Texas A&M University, College Station, TX, United States
NCA-LDAS land analysis: Development and performance of a multisensory, multivariate land data assimilation for the National Climate Assessment (274025)
Sujay V Kumar1, Michael F Jasinski1, David M Mocko2, Matthew Rodell3, Jordan Borak4, Bailing Li4, Hiroko K Kato-Beaudoing4 and Christa D Peters-Lidard5, (1)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States, (2)NASA GSFC/SAIC, Greenbelt, United States, (3)NASA Goddard Space Flight Center, Earth Sciences Division, Greenbelt, MD, United States, (4)Earth System Science Interdisciplinary Center, University of Maryland, College Park, United States, (5)NASA GSFC, Greenbelt, United States

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