Chairs: Dongryeol Ryu, The University of Melbourne, Parkville, Australia and Valentijn R N Pauwels, Monash University, Melbourne, Australia
Primary Conveners: Barton A Forman, University of Maryland, College Park, MD, United States
Co-conveners: M Tugrul Yilmaz, Middle East Technical University, Ankara, Turkey, Valentijn R N Pauwels, Monash University, Melbourne, Australia and Dongryeol Ryu, The University of Melbourne, Parkville, Australia
OSPA Liaisons: M Tugrul Yilmaz, Middle East Technical University, Civil Engineering, Ankara, Turkey
1:40 PM
Efficient Data Assimilation Tool For Real Time CO2 Reservoir Monitoring and Characterization
Judith Yue Li1, Sivaram Ambikasaran2, Amalia Kokkinaki1, Eric F Darve3,4 and Peter K Kitanidis1,3, (1)Stanford University, Civil and Environmental Engineering, Stanford, CA, United States, (2)Courant Institute of Mathematical Sciences, NEW YORK, NY, United States, (3)Stanford University, Institute for Computational and Mathematical Engineering, Stanford, CA, United States, (4)Stanford University, Mechanical Engineering, Stanford, CA, United States
1:55 PM
Assimilation of Synchronous and Asynchronous Active/Passive Microwave Observations at Different Spatial Scales for Improved Soil Moisture and Crop Growth
Pang-Wei Liu1, Jasmeet Judge1, Alejandro Monsivais-Huertero2, Susan C Steele-Dunne3, Tara E Bongiovanni1, Rajat Bindlish4 and Thomas J Jackson5, (1)University of Florida, Center for Remote Sensing, Agricultural and Biological Engineering, Gainesville, FL, United States, (2)National Polytechnic Institute, ESME Ticoman/CDA, Mexico City, Mexico, (3)Delft University of Technology, Delft, 5612, Netherlands, (4)U. S. Dept. of Agriculture, Beltsville, MD, United States, (5)USDA ARS, Beltsville, MD, United States
2:25 PM
Improving Flood Prediction By the Assimilation of Satellite Soil Moisture in Poorly Monitored Catchments.
Camila Desiree Alvarez-Garreton1, Dongryeol Ryu2, Andrew William Western1, Wade T Crow3, Chun-Hsu Su2 and David E Robertson4, (1)University of Melbourne, Parkville, VIC, Australia, (2)The University of Melbourne, Parkville, Australia, (3)Hydrol and Remote Sensing Lab, Beltsville, MD, United States, (4)CSIRO Land and Water, Highett VIC 3190, Australia
3:10 PM
Towards Improved High-Resolution Land Surface Hydrologic Reanalysis Using a Physically-Based Hydrologic Model and Data Assimilation
Yuning Shi1, Kenneth J Davis1,2, Fuqing Zhang2, Christopher Duffy3 and Xuan Yu4, (1)The Pennsylvania State University, Earth and Environmental Systems Institute, University Park, PA, United States, (2)The Pennsylvania State Unviersity, Department of Meteorology, University Park, PA, United States, (3)The Pennsylvania State University, Department of Civil and Environmental Engineering, University Park, PA, United States, (4)The Pennsylvania State University, Department of Environmental and Civil Engineering, University Park, PA, United States
