Gaussian approximations in filters and smoothers for data assimilation
- Authors:
-
- Department of Mathematics, University of Arizona, AZ, USA,
- Marine Meteorology Division, Naval Research Laboratory, Monterey, CA, USA
- Publication Date:
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA), Office of Naval Reactors
- OSTI Identifier:
- 1512329
- Resource Type:
- Published Article
- Journal Name:
- Tellus. Series A, Dynamic Meteorology and Oceanography
- Additional Journal Information:
- Journal Name: Tellus. Series A, Dynamic Meteorology and Oceanography Journal Volume: 71 Journal Issue: 1; Journal ID: ISSN 1600-0870
- Publisher:
- Informa UK Limited
- Country of Publication:
- Denmark
- Language:
- English
Citation Formats
Morzfeld, Matthias, and Hodyss, Daniel. Gaussian approximations in filters and smoothers for data assimilation. Denmark: N. p., 2019.
Web. doi:10.1080/16000870.2019.1600344.
Morzfeld, Matthias, & Hodyss, Daniel. Gaussian approximations in filters and smoothers for data assimilation. Denmark. doi:10.1080/16000870.2019.1600344.
Morzfeld, Matthias, and Hodyss, Daniel. Thu .
"Gaussian approximations in filters and smoothers for data assimilation". Denmark. doi:10.1080/16000870.2019.1600344.
@article{osti_1512329,
title = {Gaussian approximations in filters and smoothers for data assimilation},
author = {Morzfeld, Matthias and Hodyss, Daniel},
abstractNote = {},
doi = {10.1080/16000870.2019.1600344},
journal = {Tellus. Series A, Dynamic Meteorology and Oceanography},
number = 1,
volume = 71,
place = {Denmark},
year = {2019},
month = {5}
}
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DOI: 10.1080/16000870.2019.1600344
DOI: 10.1080/16000870.2019.1600344
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