Parametric Kalman filter for chemical transport models-Reference-Cited by-同舟云学术

Parametric Kalman filter for chemical transport models

Published:2016-11-30 Issue:1 Volume:68 Page:31547
ISSN:1600-0870
Container-title:Tellus A: Dynamic Meteorology and Oceanography
language:en
Short-container-title:Tellus A: Dynamic Meteorology and Oceanography

Author:

Pannekoucke Olivier¹²,Ricci Sophie²,Barthelemy Sebastien²,Ménard Richard³,Thual Olivier²⁴

Affiliation:

1. INPT-ENM CNRM UMR 3589, Météo-France/CNRS, Toulouse, France

2. CECIUMR5318, CERFACS, Toulouse, France

3. ARQI/Air Quality Research Division Environment and Climate Change Canada, Dorval (Québec), Canada

4. INPT CNRS, IMFT, Université de Toulouse, Toulouse, France

Publisher

Informa UK Limited

Subject

Atmospheric Science,Oceanography

Link

https://www.tandfonline.com/doi/pdf/10.3402/tellusa.v68.31547

Reference35 articles.

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4. The Use of an Ensemble Approach to Study the Background Error Covariances in a Global NWP Model

5. Berre L. , Pannekoucke O. , Desroziers G. , Stefanescu S. E. , Chapnik B. , etal. A variational assimilation ensemble and the spatial filtering of its error covariances: increase of sample size by local spatial averaging. 2007; 151–168. ECMWF Workshop on Flow-Dependent Aspects of Data Assimilation, 11–13 June 2007, ECMWF, ed., Reading, UK.

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