Thursday Morning 1
Time	Session	Location	Title
0800	H41I	MW 2018	Advancing Data Assimilation and Uncertainty Assessment for Improved Hydrologic Predictions II Presiding: Y Liu, SAHRA, University of Arizona; J A Vrugt, Los Alamos National Laboratory; W Crow, USDA-ARS Hydrology and Remote Sensing Laboratory; D Ryu, USDA-ARS Hydrology and Remote Sensing Laboratory; J Bolten, USDA-ARS Hydrology and Remote Sensing Laboratory    [Abstracts]
0800	H41I-01	MW 2018	New methods for assimilating remotely sensed observations of snow covered area into land surface models *B F Zaitchik, M Rodell INVITED    [details]
0815	H41I-02	MW 2018	The contribution of soil moisture retrievals to land data assimilation products *R H Reichle, W T Crow, R D Koster, H O Sharif, S P Mahanama    [details]
0830	H41I-03	MW 2018	Estimating rootzone soil moisture by assimilating both microwave based surface soil moisture and thermal based soil moisture proxy observations *F Li, W T Crow    [details]
0845	H41I-04	MW 2018	Dealing with systematic errors in land surface modeling, soil moisture observations and assimilation *G J De Lannoy, P R Houser, R H Reichle, V R Pauwels, N E Verhoest INVITED    [details]
0900	H41I-05	MW 2018	Modeling uncertainty and correlation in soil properties using Restricted Pairing and implications for ensemble-based hillslope-scale soil moisture and temperature estimation *A N Flores, D Entekhabi, R L Bras    [details]
0915	H41I-06	MW 2018	Fractal Interpolation and Monte Carlo Simulations to Address Aliasing in Well Hydrographs *D G Evans, W P Anderson    [details]
0930	H41I-07	MW 2018	Using Ensemble Kalman Filter to Simulate Groundwater Flow and Solute Transport in Heterogeneous Media with Unknown Contamination Sources *X B Hu, C Huang, X Li, M Ye    [details]
0945	H41I-08	MW 2018	Combined assimilation of soil moisture and streamflow data by an ensemble Kalman filter in a coupled model of surface–subsurface flow *M Camporese, C Paniconi, M Putti, P Salandin    [details]