Cluster Sampling Filters for Non-Gaussian Data Assimilation
نویسندگان
چکیده
منابع مشابه
Cluster Sampling Filters for Non-Gaussian Data Assimilation
This paper presents a fully non-Gaussian version of the Hamiltonian Monte Carlo (HMC) sampling filter. The Gaussian prior assumption in the original HMC filter is relaxed. Specifically, a clustering step is introduced after the forecast phase of the filter, and the prior density function is estimated by fitting a Gaussian Mixture Model (GMM) to the prior ensemble. Using the data likelihood func...
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ژورنال
عنوان ژورنال: Atmosphere
سال: 2018
ISSN: 2073-4433
DOI: 10.3390/atmos9060213