Multistep variational data assimilation: important issues and a spectral approach-Reference-Cited by-同舟云学术

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Multistep variational data assimilation: important issues and a spectral approach

Published:2016-05-17 Issue:1 Volume:68 Page:31110
ISSN:1600-0870
Container-title:Tellus A: Dynamic Meteorology and Oceanography
language:en
Short-container-title:Tellus A: Dynamic Meteorology and Oceanography

Author:

Xu Qin¹,Wei Li²,Gao Jidong¹,Zhao Qingyun³,Nai Kang²,Liu Shun⁴

Affiliation:

1. NOAA/National Severe Storms LaboratoryNorman, OK, USA

2. Cooperative Institute for Mesoscale Meteorological StudiesUniversity of Oklahoma, Norman, OK, USA

3. Marine Meteorology DivisionNaval Research Laboratory, Monterey, CA, USA

4. National Centers of Environmental Prediction & I. M. Systems GroupRockville, MD, USA

Publisher

Informa UK Limited

Subject

Atmospheric Science,Oceanography

Link

https://www.tandfonline.com/doi/pdf/10.3402/tellusa.v68.31110

Reference19 articles.

1. A reformulation of the background error covariance in the ECMWF global data assimilation system

2. A Global Oceanic Data Assimilation System

3. A Real-Time Weather-Adaptive 3DVAR Analysis System for Severe Weather Detections and Warnings

4. The statistical structure of short-range forecast errors as determined from radiosonde data. Part I: The wind field

5. Jazwinski A. H . Stochastic Processes and Filtering Theory. 1970; San Diego, CA: Academic Press. 376 pp.

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