89th American Meteorological Society Annual Meeting

Poster Session 3: Advances in Data Assimilation Techniques and Their Applications to Land Surface State and Parameter Estimation in Hydrology

Wednesday, 14 January 2009: 2:30 PM-4:00 PM
Hall 5 (Phoenix Convention Center)
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Chair:  Susan C. Steele-Dunne, TU Delft
Papers:
 
P3.1
Bias Reduction to Satellite Retrieved Soil Moisture in Land Data Assimilation
Yan Luo, Center for Research on Environment and Water, Calverton, MD; and G. J. M. De Lannoy, P. Houser, and X. Zhan

 
P3.2
Using high resolution land data assimilation system to improve prediction of soil temperature and moisture for agriculture application prediction of soil temperature and moisture for agriculture applicationUsing high Resol System to Improve Prediction of Soil Temperature and Moisture for Agriculture Application
Ying Zhang, NCAR, Boulder, CO; and F. Chen, W. Myers, K. W. Manning, and S. Linden

 
P3.3
Probabilistic prediction of recharge under future climate change scenarios
Gene-Hua Crystal Ng, MIT, Cambridge, MA; and D. McLaughlin, D. Entekhabi, and B. R. Scanlon

 
P3.4
Accounting for temporal variation of hydraulic conductivity in the calibration of a distributed hydrologic model
Heather Moser, CIMMS/Univ. of Oklahoma, Norman, OK; and J. J. Gourley and Y. Hong

Poster PDF (430.0 kB)
 
P3.5
Assimilation of microwave scatterometer observations to estimate soil moisture in West Africa
Jair Smits, Technical University of Delft, Delft, Netherlands; and M. M. Rutten, S. C. Steele-Dunne, and N. van de Giesen

 
P3.6
Quantitative precipitation estimates by the gauge network and high-resolution ensemble forecasts using the SMTAS technique
Huiling Yuan, CIRES, University of Colorado and NOAA/ESRL/GSD, Boulder, CO; and W. Li, Y. Xie, J. A. McGinley, E. I. Tollerud, and R. S. Collander

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