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contributor authorBarker, Dale
contributor authorHuang, Xiang-Yu
contributor authorLiu, Zhiquan
contributor authorAuligné, Tom
contributor authorZhang, Xin
contributor authorRugg, Steven
contributor authorAjjaji, Raji
contributor authorBourgeois, Al
contributor authorBray, John
contributor authorChen, Yongsheng
contributor authorDemirtas, Meral
contributor authorGuo, Yong-Run
contributor authorHenderson, Tom
contributor authorHuang, Wei
contributor authorLin, Hui-Chuan
contributor authorMichalakes, John
contributor authorRizvi, Syed
contributor authorZhang, Xiaoyan
date accessioned2017-06-09T16:44:05Z
date available2017-06-09T16:44:05Z
date copyright2012/06/01
date issued2012
identifier issn0003-0007
identifier otherams-73192.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4215279
description abstractmilation is the process by which observations are combined with short-range NWP model output to produce an analysis of the state of the atmosphere at a specified time. Since its inception in the late 1990s, the multiagency Weather Research and Forecasting (WRF) model effort has had a strong data assimilation component, dedicating two working groups to the subject. This article documents the history of the WRF data assimilation effort, and discusses the challenges associated with balancing academic, research, and operational data assimilation requirements in the context of the WRF effort to date. The WRF Model's Community Variational/Ensemble Data Assimilation System (WRFDA) has evolved over the past 10 years, and has resulted in over 30 refereed publications to date, as well as implementation in a wide range of real-time and operational NWP systems. This paper provides an overview of the scientific capabilities of WRFDA, and together with results from sample operation implementations at the U.S. Air Force Weather Agency (AFWA) and United Arab Emirates (UAE) Air Force and Air Defense Meteorological Department.
publisherAmerican Meteorological Society
titleThe Weather Research and Forecasting Model's Community Variational/Ensemble Data Assimilation System: WRFDA
typeJournal Paper
journal volume93
journal issue6
journal titleBulletin of the American Meteorological Society
identifier doi10.1175/BAMS-D-11-00167.1
journal fristpage831
journal lastpage843
treeBulletin of the American Meteorological Society:;2012:;volume( 093 ):;issue: 006
contenttypeFulltext


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