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Data assimilation and parameter estimation via ensemble Kalman filter coupled with stochastic moment equations of transient groundwater flow

SP Neuman - Water Resources Research, 2013 - Wiley Online Library
The ensemble Kalman filter (EnKF) is a powerful tool for assimilating data in earth system
models. The approach allows real time Bayesian updating of system states and parameters …
被引用次数：48 相关文章

Data assimilation and parameter estimation via ensemble Kalman filter coupled with stochastic moment equations of transient groundwater flow.

M Panzeri, M Riva, A Guadagnini… - Water Resources …, 2013 - search.ebscohost.com
Abstract The ensemble Kalman filter (EnKF) is a powerful tool for assimilating data in earth
system models. The approach allows real time Bayesian updating of system states and …

Data assimilation and parameter estimation via ensemble Kalman filter coupled with stochastic moment equations of transient groundwater flow

M Panzeri, M Riva, A Guadagnini… - Water Resources …, 2013 - ui.adsabs.harvard.edu
Abstract The ensemble Kalman filter (EnKF) is a powerful tool for assimilating data in earth
system models. The approach allows real time Bayesian updating of system states and …

Data assimilation and parameter estimation via ensemble Kalman filter coupled with stochastic moment equations of transient groundwater flow

M Panzeri, M Riva, A Guadagnini… - WATER RESOURCES …, 2013 - re.public.polimi.it
The ensemble Kalman filter (EnKF) is a powerful tool for assimilating data in earth system
models. The approach allows real time Bayesian updating of system states and parameters …

Data assimilation and parameter estimation via ensemble Kalman filter coupled with stochastic moment equations of transient groundwater flow.

M Panzeri, M Riva, A Guadagnini, SP Neuman - 2013 - cabidigitallibrary.org
Abstract The ensemble Kalman filter (EnKF) is a powerful tool for assimilating data in earth
system models. The approach allows real time Bayesian updating of system states and …