Convergent least-squares optimization methods for variational data assimilation-Reference-Cited by-同舟云学术

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Convergent least-squares optimization methods for variational data assimilation

Published:2024-08-19 Issue: Volume: Page:1-35
ISSN:0233-1934
Container-title:Optimization
language:en
Short-container-title:Optimization

Author:

Cartis Coralia¹,Kaouri Maha H.²,Lawless Amos S.²³⁴,Nichols Nancy K.²³⁴

Affiliation:

1. Mathematical Institute, University of Oxford, Oxford, UK

2. Department of Mathematics and Statistics, University of Reading, Reading, UK

3. Department of Meteorology, University of Reading, Reading, UK

4. National Centre for Earth Observation, Leicester, UK

Funder

Engineering and Physical Sciences Research Council Centre

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02331934.2024.2390119

Reference55 articles.

1. Variational algorithms for analysis and assimilation of meteorological observations: theoretical aspects

2. Nichols NK. Mathematical concepts of data assimilation. In: Lahoz W Swinbank R Khattatov B editors. Data assimilation: making sense of observations. Berlin Heildelberg: Springer; 2010. p. 13–39.

3. Overview of global data assimilation developments in numerical weather-prediction centres

4. Extension of 3DVAR to 4DVAR: Implementation of 4DVAR at the Meteorological Service of Canada

5. A strategy for operational implementation of 4D-Var, using an incremental approach

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