Surface heat flux estimation with the ensemble Kalman smoother: Joint estimation of state and parameters
نویسندگان
چکیده
منابع مشابه
Joint state and parameter estimation with an iterative ensemble Kalman smoother
Both ensemble filtering and variational data assimilation methods have proven useful in the joint estimation of state variables and parameters of geophysical models. Yet, their respective benefits and drawbacks in this task are distinct. An ensemble variational method, known as the iterative ensemble Kalman smoother (IEnKS) has recently been introduced. It is based on an adjoint model-free vari...
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ژورنال
عنوان ژورنال: Water Resources Research
سال: 2012
ISSN: 0043-1397
DOI: 10.1029/2011wr011542