Assessment of Progress and Status of Data Assimilation in Numerical Weather Prediction

Assessment of Progress and Status of Data Assimilation in Numerical Weather Prediction AMERICAN METEOROLOGICAL SOCIETY Bulletin of the American Meteorological Society EARLY ONLINE RELEASE This is a preliminary PDF of the author-produced manuscript that has been peer-reviewed and accepted for publication. Since it is being posted so soon after acceptance, it has not yet been copyedited, formatted, or processed by AMS Publications. This preliminary version of the manuscript may be downloaded, distributed, and cited, but please be aware that there will be visual differences and possibly some content differences between this version and the final published version. The DOI for this manuscript is doi: 10.1175/BAMS-D-17-0266.1 The final published version of this manuscript will replace the preliminary version at the above DOI once it is available. If you would like to cite this EOR in a separate work, please use the following full citation: Kwon, I., S. English, W. Bell, R. Potthast, A. Collard, and B. Ruston, 2017: Assessment of Progress and Status of Data Assimilation in Numerical Weather Prediction. Bull. Amer. Meteor. Soc. doi:10.1175/BAMS-D-17-0266.1, in press. © 2017 American Meteorological Society Manuscript (non-LaTeX) Click here to download Manuscript (non-LaTeX) BAMS- meetingSummary-DAworkshop_revision_clean.docx 1 Assessment of Progress and Status of Data Assimilation in Numerical Weather 2 Prediction 3 By In-Hyuk Kwon, Stephen English, http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Bulletin of the American Meteorological Society American Meteorological Society

Assessment of Progress and Status of Data Assimilation in Numerical Weather Prediction

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Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1520-0477
D.O.I.
10.1175/BAMS-D-17-0266.1
Publisher site
See Article on Publisher Site

Abstract

AMERICAN METEOROLOGICAL SOCIETY Bulletin of the American Meteorological Society EARLY ONLINE RELEASE This is a preliminary PDF of the author-produced manuscript that has been peer-reviewed and accepted for publication. Since it is being posted so soon after acceptance, it has not yet been copyedited, formatted, or processed by AMS Publications. This preliminary version of the manuscript may be downloaded, distributed, and cited, but please be aware that there will be visual differences and possibly some content differences between this version and the final published version. The DOI for this manuscript is doi: 10.1175/BAMS-D-17-0266.1 The final published version of this manuscript will replace the preliminary version at the above DOI once it is available. If you would like to cite this EOR in a separate work, please use the following full citation: Kwon, I., S. English, W. Bell, R. Potthast, A. Collard, and B. Ruston, 2017: Assessment of Progress and Status of Data Assimilation in Numerical Weather Prediction. Bull. Amer. Meteor. Soc. doi:10.1175/BAMS-D-17-0266.1, in press. © 2017 American Meteorological Society Manuscript (non-LaTeX) Click here to download Manuscript (non-LaTeX) BAMS- meetingSummary-DAworkshop_revision_clean.docx 1 Assessment of Progress and Status of Data Assimilation in Numerical Weather 2 Prediction 3 By In-Hyuk Kwon, Stephen English,

Journal

Bulletin of the American Meteorological SocietyAmerican Meteorological Society

Published: Dec 29, 2017

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