The Weather Research and Forecasting Model's Community Variational/Ensemble Data Assimilation System: WRFDASource: Bulletin of the American Meteorological Society:;2012:;volume( 093 ):;issue: 006::page 831Author:Barker, Dale
,
Huang, Xiang-Yu
,
Liu, Zhiquan
,
Auligné, Tom
,
Zhang, Xin
,
Rugg, Steven
,
Ajjaji, Raji
,
Bourgeois, Al
,
Bray, John
,
Chen, Yongsheng
,
Demirtas, Meral
,
Guo, Yong-Run
,
Henderson, Tom
,
Huang, Wei
,
Lin, Hui-Chuan
,
Michalakes, John
,
Rizvi, Syed
,
Zhang, Xiaoyan
DOI: 10.1175/BAMS-D-11-00167.1Publisher: American Meteorological Society
Abstract: milation 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.
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contributor author | Barker, Dale | |
contributor author | Huang, Xiang-Yu | |
contributor author | Liu, Zhiquan | |
contributor author | Auligné, Tom | |
contributor author | Zhang, Xin | |
contributor author | Rugg, Steven | |
contributor author | Ajjaji, Raji | |
contributor author | Bourgeois, Al | |
contributor author | Bray, John | |
contributor author | Chen, Yongsheng | |
contributor author | Demirtas, Meral | |
contributor author | Guo, Yong-Run | |
contributor author | Henderson, Tom | |
contributor author | Huang, Wei | |
contributor author | Lin, Hui-Chuan | |
contributor author | Michalakes, John | |
contributor author | Rizvi, Syed | |
contributor author | Zhang, Xiaoyan | |
date accessioned | 2017-06-09T16:44:05Z | |
date available | 2017-06-09T16:44:05Z | |
date copyright | 2012/06/01 | |
date issued | 2012 | |
identifier issn | 0003-0007 | |
identifier other | ams-73192.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4215279 | |
description abstract | milation 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. | |
publisher | American Meteorological Society | |
title | The Weather Research and Forecasting Model's Community Variational/Ensemble Data Assimilation System: WRFDA | |
type | Journal Paper | |
journal volume | 93 | |
journal issue | 6 | |
journal title | Bulletin of the American Meteorological Society | |
identifier doi | 10.1175/BAMS-D-11-00167.1 | |
journal fristpage | 831 | |
journal lastpage | 843 | |
tree | Bulletin of the American Meteorological Society:;2012:;volume( 093 ):;issue: 006 | |
contenttype | Fulltext |