Efficient fully nonlinear data assimilation for geophysical fluid dynamics
نویسندگان
چکیده
منابع مشابه
Efficient fully nonlinear data assimilation for geophysical fluid dynamics
6 A potential problem with Ensemble Kalman Filter is the implicit Gaussian as7 sumption at analysis times. Here we explore the performance of a recently pro8 posed fully nonlinear particle filter on a high-dimensional but simplified ocean 9 model, in which the Gaussian assumption is not made. The model simulates 10 the evolution of the vorticity field in time, described by the barotropic vortic...
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New ways of combining observations with numerical models are discussed in which the size of the state space can be very large, and the model can be highly nonlinear. Also the observations of the system can be related to the model variables in highly nonlinear ways, making this data-assimilation (or inverse) problem highly nonlinear. First we discuss the connection between data assimilation and ...
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ژورنال
عنوان ژورنال: Computers & Geosciences
سال: 2013
ISSN: 0098-3004
DOI: 10.1016/j.cageo.2012.04.015