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Title: Gaussian approximations in filters and smoothers for data assimilation

Authors:
 [1];  [2]
  1. Department of Mathematics, University of Arizona, AZ, USA,
  2. 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}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1080/16000870.2019.1600344

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