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Coupled hydrogeophysical parameter estimation using a sequential Bayesian approach
Hydrology and Earth System Sciences
Coupled hydrogeophysical methods infer hydrological and petrophysical parameters directly from geophysical measurements. Widespread methods do not explicitly recognize uncertainty in parameter estimates. Therefore, we apply a sequential Bayesian framework that provides updates of state, parameters and their uncertainty whenever measurements become available. We have coupled a hydrological and an electrical resistivity tomography (ERT) forward code in a particle filtering framework. First, wedoi:10.5194/hess-14-545-2010 fatcat:rr33twu73rhejk4bizshzmxdmi