Variational data assimilation via sparse regularisation

Variational data assimilation via sparse regularisation

This paper studies the role of sparse regularisation in a properly chosen basis for variational data assimilation (VDA) problems. Specifically, it focuses on data assimilation of noisy and down-sampled observations while the state variable of interest exhibits sparsity in the real or transform domai...

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Bibliographic Details
Main Authors: Ardeshir M. Ebtehaj, Milija Zupanski, Gilad Lerman, Efi Foufoula-Georgiou
Format: Article
Language:English
Published: Stockholm University Press 2014-02-01
Series:Tellus: Series A, Dynamic Meteorology and Oceanography
Subjects:
variational data assimilation
sparsity
l1 regularisation
wavelet
discrete cosine transform
Online Access:http://www.tellusa.net/index.php/tellusa/article/download/21789/pdf_1

Internet

http://www.tellusa.net/index.php/tellusa/article/download/21789/pdf_1

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