Thursday Morning 2
Time	Session	Location	Title
1020	H42D	MW 2018	Advancing Data Assimilation and Uncertainty Assessment for Improved Hydrologic Predictions III 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]
1020	H42D-01	MW 2018	Assimilation of hydrologic and hydrometeorological data into lumped and distributed hydrologic models for improved operational hydrologic forecasting in NWS *D Seo, H Lee, P Restrepo INVITED    [details]
1035	H42D-02	MW 2018	Hydrological Data Assimilation With The Ensemble Kalman Filter: Use Of Streamflow Observations To Update States In A Distributed Hydrological Model R P Ibbitt, *M P Clark, R A Woods, X Zheng, A G Slater, D E Rupp, J Schmidt, M Uddstrom    [details]
1050	H42D-03	MW 2018	Ensemble Streamflow Forecasting via data assimilation *M Gill, M Wigmosta, A Coleman, R Prasad, L Vail    [details]
1105	H42D-04	MW 2018	Improving Convective Precipitation Forecasting through Assimilation of Data-Forced Land Surface Parameters *E Serpetzoglou, A Papadopoulos, E Anagnostou    [details]
1120	H42D-05	MW 2018	Ensemble Data Assimilation to Sequential Bayesian Multi-model Combination: Tackling the Hydrologic Model Uncertainty *H Moradkhani INVITED    [details]
1135	H42D-06	MW 2018	Model Structure Identification and Correction Through Data Assimilation *N Bulygina, H V Gupta    [details]
1150	H42D-07	MW 2018	Distributed Soil Moisture Estimation in a Mountainous Semiarid Basin: Constraining Soil Parameter Uncertainty through Field Studies *S Yatheendradas, E Vivoni    [details]
1205	H42D-08	MW 2018	Improving environmental model diagnostic techniques – Development of a timestep-based performance measure for hydrological models *J Freer, Y Liu, P Younger, K Beven    [details]