H54D:
Hydrologic Data Assimilation III


Session ID#: 10545

Session Description:
Hydrologic and land data assimilation (DA) studies will be reported. Focus of contributions include: advances in methods to estimate/reproduce errors and model-observation integration; applications of DA systems on land/atmospheric/water quality state/flux/parameter estimation; implications in decision support systems; integrating observations at diverse spatial and temporal scales; operational applications such as flood forecasting/inundation and drought forecasting. We also encourage contributions related to hydrology missions (e.g., GRACE, SMOS, AMSR2, SMAP, SWOT, GPM, etc.) and ground sensor networks (e.g., COSMOS, OzNet, DTS) as well as simultaneous use of multiple observation types (e.g., multi-satellite, multi-scale, conjunctive use of ground, airborne and satellite observations).
Primary Convener:  Barton A Forman, University of Maryland College Park, College Park, MD, United States
Conveners:  Valentijn R N Pauwels, Monash University, Melbourne, Australia, Dongryeol Ryu, University of Melbourne, Parkville, VIC, Australia and Susan C Steele-Dunne, Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, Netherlands
Chairs:  Dongryeol Ryu, University of Melbourne, Parkville, VIC, Australia and Susan C Steele-Dunne, Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, Netherlands
OSPA Liaison:  Barton A Forman, University of Maryland College Park, College Park, MD, United States
Index Terms:

1847 Modeling [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1910 Data assimilation, integration and fusion [INFORMATICS]

Abstracts Submitted to this Session:

Improving Variational Estimation of Surface Turbulent Fluxes Through Characterizing the Effect of Vegetation Dynamics on the Bulk Heat Transfer (61551)
Abedeh Abdolghafoorian1, Leila Farhadi1 and Sayed M. Bateni2, (1)George Washington University, Washington, DC, United States, (2)University of Hawaii at Manoa, Department of Civil and Environmental Engineering and Water Resources Research Center, Honolulu, United States
Assimilation of Remotely Sensed Soil Moisture and Vegetation with a Crop Simulation Model (Invited) (60614)
Amor V M Ines, Michigan State University, Departments of Plant, Soil and Micriobial Sciences, and Biosystems and Agricultural Engineering, East Lansing, MI, United States and Narendra N Das, NASA Jet Propulsion Laboratory, Water and Carbon Cycle Group, Pasadena, CA, United States
Assimilating a decade of hydrometeorological ship measurements across the North American Great Lakes (69970)
Kevin Fries, University of Michigan Ann Arbor, Ann Arbor, MI, United States and Branko Kerkez, University of Michigan, Civil and Environmental Engineering, Ann Arbor, MI, United States
Soil moisture and properties estimation by assimilating soil temperatures using particle batch smoother: A new perspective for DTS (61333)
Jianzhi Dong1, Susan C Steele-Dunne2, Tyson E. Ochsner3 and Nick Van De Giesen2, (1)Massachusetts Institute of Technology, Cambridge, MA, United States, (2)Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, Netherlands, (3)Oklahoma State University, Plant and Soil Sciences, Stillwater, OK, United States
Soil Moisture Analysis in the SMAP Level 4 Data Product (Invited) (63521)
Rolf H Reichle, NASA Goddard Space Flight Center, Greenbelt, United States and Gabrielle J.M. De Lannoy, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Scrutiny of Appropriate Model Error Specification in Multivariate Assimilation Framework using mHM (59457)
Oldrich Rakovec, Helmholtz Centre for Environmental Research - UFZ, Computational Hydrosystems, Leipzig, Germany, Seong Jin Noh, Kumoh National Institute of Technology, Gumi, South Korea, Rohini Kumar, Helmholtz Centre for Environmental Research GmbH – UFZ, Leipzig, Germany, Computational Hydrosystems, Leipzig, Germany and Luis Samaniego, Helmholtz Centre for Environmental Research UFZ Leipzig, Computation Hydrosystems, Leipzig, Germany
Impact of Soil Moisture Assimilation on Land Surface Model Spinup and Coupled Land-Atmosphere Prediction (59177)
Joseph A Santanello Jr, NASA Goddard Space Flight Center, Code 617, Hydrological Sciences Laboratory, Greenbelt, MD, United States, Sujay V Kumar, NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, United States, Christa D Peters-Lidard, NASA Goddard Space Flight Center, Sciences and Exploration Directorate, Greenbelt, MD, United States and Patricia Lawston Parker, Delaware State University, Dover, DE, United States
What Can Data Assimilation Tell Us about Our Models? (58973)
Grey Stephen Nearing, Upstream Tech, Tuscaloosa, United States

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