Poster Session 3 |
| | Advances in Data Assimilation Techniques and Their Applications to Land Surface State and Parameter Estimation in Hydrology |
| | Chair: Susan C. Steele-Dunne, TU Delft, Delft Netherlands
|
| | 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 |
| | 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 |