Abstract: Using Ensemble Data Assimilation to Estimate Long-term Hydrologic Exchange Fluxes under Highly Dynamic Condition (AGU Fall Meeting 2018)

Using Ensemble Data Assimilation to Estimate Long-term Hydrologic Exchange Fluxes under Highly Dynamic Condition

Kewei Chen¹, Xingyuan Chen², Xuehang Song³, Hongbin Zhan⁴ and Pin Shuai³, (1)Texas A&M University, Department of Geology and Geophysics, College Station, TX, United States, (2)Pacific Northwest National Laboratory, Richland, United States, (3)Pacific Northwest National Laboratory, Richland, WA, United States, (4)Texas A&M University, Department of Geology and Geophysics, College Station, United States

Back to: Coupled Dynamics of Physical, Biological, Geomorphic, Hydrologic, and Chemical Processes in the Hyporheic Zone over a Range of Spatial and Temporal Scales II Posters