H21I:
Hydrologic Data Assimilation II Posters

Session ID#: 1864

Tuesday, 16 December 2014: 8:00 AM-12:20 PM
Not an Option (Moscone West)
Chairs:  Dongryeol Ryu, The University of Melbourne, Department of Infrastructure Engineering, Parkville, VIC, Australia and Valentijn R N Pauwels, Monash University, Melbourne, Australia
Primary Convener:  Barton A Forman, University of Maryland, College Park, MD, United States
Co-conveners:  Valentijn R N Pauwels, Monash University, Melbourne, Australia, Dongryeol Ryu, The University of Melbourne, Department of Infrastructure Engineering, Parkville, VIC, Australia and M Tugrul Yilmaz, Middle East Technical University, Department Of Civil Engineering, Ankara, Turkey
OSPA Liaison:  M Tugrul Yilmaz, Middle East Technical University, Civil Engineering, Ankara, Turkey
Index Terms:
Virtual Option?: No

Abstracts Submitted to this Session:

 
Assimilation of Multiscale and Multivariable Hydrologic Variables over Pan European River Basins (3393)
Oldrich Rakovec, Czech University of Life Sciences, Water Resources and Environmental Modelling, Prague, Czech Republic, Rohini Kumar, Helmholtz Centre for Environmental Research GmbH – UFZ, Leipzig, Germany, Computational Hydrosystems, Leipzig, Germany, Luis Samaniego, Helmholtz Centre for Environmental Research UFZ Leipzig, Computation Hydrosystems, Leipzig, Germany, Juliane Mai, University of Waterloo, Waterloo, ON, Canada, Stephan Thober, Helmholtz Centre for Environmental Research - UFZ, Computational Hydrosystems, Leipzig, Germany and Matthias Cuntz, Helmholtz Centre for Environmental Research UFZ Leipzig, Leipzig, Germany
 
Impact of Rescaling Anomaly and Seasonal Components of Soil Moisture on Hydrologic Data Assimilation (6362)
M Tugrul Yilmaz, Middle East Technical University, Department Of Civil Engineering, Ankara, Turkey, Wade T Crow, USDA ARS, Hydrology and Remote Sensing Lab, Beltsville, MD, United States and Dongryeol Ryu, The University of Melbourne, Department of Infrastructure Engineering, Parkville, VIC, Australia
 
Characterizing Precipitation Forcing Uncertainty in Land Data Assimilation Using an Ensemble-Based Bayesian Approach (8848)
Hamed Alemohammad, Dennis McLaughlin and Dara Entekhabi, Massachusetts Institute of Technology, Civil and Environmental Engineering, Cambridge, MA, United States
 
Assimilation of satellite observed brightness temperature and terrestrial water storage into the Catchment land surface model for improved soil moisture estimation (12584)
Manuela Girotto, University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, United States; Universities Space Research Association, Columbia, MD, United States, Gabrielle J.M. De Lannoy, NASA Goddard Space Flight Center, Greenbelt, MD, United States; KU Leuven, Earth and Environmental Sciences, Heverlee, Belgium, Rolf H Reichle, NASA Goddard Space Flight Center, Greenbelt, United States and Matthew Rodell, NASA Goddard Space Flight Center, Earth Sciences Division, Greenbelt, MD, United States
 
The SMAP Level 4 Surface and Root Zone Soil Moisture data assimilation product (12848)
Rolf H Reichle, NASA Goddard Space Flight Center, Greenbelt, United States, Gabrielle J.M. De Lannoy, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Wade T Crow, USDA ARS, Hydrology and Remote Sensing Lab, Beltsville, MD, United States, John S Kimball, University of Montana, Numerical Terradynamic Simulation Group, Missoula, United States, Randal D Koster, NASA Goddard SFC, Global Modeling and Assimilation Office, Greenbelt, United States and Qing Liu, GMAO, building 33, Greenbelt, United States
 
Extended Triple Collocation: Estimating Errors And Correlation Coefficients With Respect To An Unknown Target (13252)
Kaighin A Mccoll, Harvard University, Earth and Planetary Sciences and School of Engineering and Applied Sciences, Cambridge, MA, United States, Jur Vogelzang, Royal Netherlands Meteorological Institute, De Bilt, Netherlands, Alexandra G Konings, Stanford University, Earth System Science, Stanford, CA, United States, Dara Entekhabi, Massachusetts Institute of Technology, Civil and Environmental Engineering, Cambridge, MA, United States, Maria Piles, SMOS Barcelona Expert Center, Barcelona, Spain and Ad Stoffelen, Royal Netherlands Meteorological Institute, De Bilt, 3730, Netherlands
 
Are Dynamically Evolving Models the Future of Hydrologic Modelling? A Data Assimilation Approach (14249)
Sahani Darshika Pathiraja1, Lucy Amanda Marshall1, Ashish Sharma1 and Hamid Moradkhani2, (1)University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia, (2)The University of Alabama, Department of Civil, Construction and Environmental Engineering; Department of Computer Science, Tuscaloosa, United States
 
Assessing the Influence of Spatially Correlated Errors on Assimilation of GRACE-derived Total Water Storage Anomalies into a Global Hydrological Model (15632)
Maike Schumacher, Geodesy Group, Department of Planning, Aalborg University, Aalborg, Denmark and Juergen Kusche, University of Bonn, Institute of Geodesy and Geoinformation, Bonn, Germany
 
“Wishful thinking” – how much rainfall information can be inferred from soil moisture and runoff? (18108)
Ming Pan, Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, University of California San Diego, La Jolla, United States, Wang Zhan, Princeton University, Princeton, NJ, United States, Niko Wanders, Utrecht University, Physical Geography, Utrecht, Netherlands and Eric F Wood, Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States
 
Streamflow Data Assimilation in SWAT Model Using Extended Kalman Filter (19751)
Leqiang Sun, Ioan Nistor and Ousmane Seidou, University of Ottawa, Department of Civil Engineering, Ottawa, ON, Canada
 
Development of a New Land Data Assimilation System for Improvement of Forecasting both Soil Moisture and Vegetation Dynamics (20524)
Yohei Sawada, The University of Tokyo, Department of Civil Engineering, Tokyo, Japan and Toshio Koike, The University of Tokyo, Tokyo, Japan
 
A Study on Estimation of Quantile Using Regional Scaling Factors (21535)
Younghun Jung1, Sunghun Kim2, Hanjin Jang1 and Jun-Haeng Heo1, (1)Yonsei University, Seoul, Korea, Republic of (South), (2)Missouri University of Science and Technology, Civil, Architectural and Environmental Engineering, Rolla, MO, United States
 
Translating above-ground cosmic-ray neutron intensity to high-frequency soil moisture profile at sub-kilometer scale (22437)
Rafael Rosolem, University of Bristol, Civil Engineering, Bristol, United Kingdom, Timothy J Hoar, Natl Ctr Atmospheric Res, Boulder, CO, United States, Avelino F Arellano Jr, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, United States, Jeffrey L Anderson, University Corporation for Atmospheric Research, Boulder, United States, William J Shuttleworth, University of Arizona, Tucson, AZ, United States, Xubin Zeng, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States and Trenton E Franz, University of Nebraska Lincoln, School of Natural Resources, Lincoln, United States
 
Multi-scale analysis framework for bias characterisation, bias correction and de-noising (28749)
Chun-Hsu Su, University of Melbourne, Parkville, VIC, Australia and Dongryeol Ryu, The University of Melbourne, Department of Infrastructure Engineering, Parkville, VIC, Australia
 
Improvement of NCEP Numerical Weather Prediction with Use of Satellite Land Measurements (29090)
Weizhong Zheng1,2, Michael B Ek3, Helin Wei4,5, Jesse Meng6,7, Jiarui Dong2,8, Yihua Wu2,7, Xiwu Zhan9, Jicheng Liu10, Zhangyan Jiang2,10 and Marco Vargas11, (1)NOAA/NWS/NCEP, EMC, College Park, MD, United States, (2)IMSG, College Park, MD, United States, (3)NSF NCAR, Boulder, United States, (4)NOAA/NWS/NCEP/EMC, College Park, United States, (5)IMSG at NOAA/NCEP/EMC, College Park, MD, United States, (6)IMSG, NCEP/EMC, College Park, MD, United States, (7)NOAA/NWS/NCEP, College Park, MD, United States, (8)NOAA/NWS/NCEP, College Park, United States, (9)NOAA/NESDIS/STAR, Riverdale Park, MD, United States, (10)NOAA-NESDIS, College Park, MD, United States, (11)NOAA-NESDIS, Silver Spring, MD, United States
 
Fusion of multiple radar-based quantitative precipitation estimates (QPE) for high-resolution flash flood forecasting in large urban areas (29747)
Arezoo Rafieeinasab1, Amir Norouzi2, Beomgeun Kim2 and Dong-Jun Seo3, (1)University Corporation for Atmospheric Research, Boulder, United States, (2)Univ of TX-Arlington-Civil Eng, Arlington, TX, United States, (3)University of Texas at Arlington, Civil Engineeing (Water Resources), Arlington, TX, United States
 
Robust Estimator for Annual Rainfall Erosivity in Korea (31842)
Joon-Hak Lee1, Hyun-Keun Song2, Hongjoon Shin2 and Jun-Haeng Heo2, (1)Korea Military Academy, Seoul, Korea, Republic of (South), (2)Yonsei University, Seoul, Korea, Republic of (South)
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