Resolving structural errors in a spatially distributed hydrologic model using ensemble Kalman filter state updates
نویسندگان
چکیده
منابع مشابه
A partitioned update scheme for state-parameter estimation of distributed hydrologic models based on the ensemble Kalman filter
[1] Sequential data assimilation methods, such as the ensemble Kalman filter (EnKF), provide a general framework to account for various uncertainties in hydrologic modeling, simultaneously estimating dynamic states and model parameters with a state augmentation technique. But this technique suffers from spurious correlation for impulse responses, such as the rainfall-runoff process, especially ...
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This paper was selected for presentation by an SPE Program Committee following review of information contained in a proposal submitted by the author(s). Contents of the paper, as presented, have not been reviewed by the Society of Petroleum Engineers and are subject to correction by the author(s). The material, as presented, does not necessarily reflect any position of the Society of Petroleum ...
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ژورنال
عنوان ژورنال: Hydrology and Earth System Sciences
سال: 2013
ISSN: 1607-7938
DOI: 10.5194/hess-17-3455-2013