Improved analysis‐error covariance matrix for high‐dimensional variational inversions: application to source estimation using a 3D atmospheric transport model-Reference-Cited by-同舟云学术

Improved analysis‐error covariance matrix for high‐dimensional variational inversions: application to source estimation using a 3D atmospheric transport model

Published:2015-01-07 Issue:690 Volume:141 Page:1906-1921
ISSN:0035-9009
Container-title:Quarterly Journal of the Royal Meteorological Society
language:en
Short-container-title:Q.J.R. Meteorol. Soc.

Author:

Bousserez N.¹,Henze D. K.¹,Perkins A.¹,Bowman K. W.²,Lee M.²,Liu J.²,Deng F.³,Jones D. B. A.³⁴

Affiliation:

1. Department of Mechanical Engineering University of Colorado Boulder USA

2. Jet Propulsion Laboratory, California Institute of Technology Pasadena USA

3. Department of Physics University of Toronto Ontario Canada

4. JIFRESSE University of California Los Angeles USA

Funder

National Aeronautics and Space Administration

National Science Foundation

Publisher

Wiley

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qj.2495

Reference42 articles.

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4. A new double‐rank minimisation algorithm. Preliminary report;Broyden C;Am. Math. Soc. Notices,1969

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