Sequential Assimilation ofERS-1SAR Data into a Coupled Land Surface–Hydrological Model Using an Extended Kalman Filter
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Number : Title : Data Assimilation with an Extended Kalman Filter for
Model assimilation of data strives to determine optimally the state of an evolving physical system from a limited number of observations. The present study represents the first attempt of applying the extended Kalman filter (EKF) method of data assimilation to shock-wave dynamics induced by a high-speed impact. EKF solves the full nonlinear state evolution and estimates its associated error-cov...
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ژورنال
عنوان ژورنال: Journal of Hydrometeorology
سال: 2003
ISSN: 1525-755X,1525-7541
DOI: 10.1175/1525-7541(2003)4<473:saoesd>2.0.co;2