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Makale detayı · 2012 · article

The Weather Research and Forecasting Model s Community Variational Ensemble Data Assimilation System WRFDA

YÖKSİS OpenAlex Üst %1
Yıl2012
Atıf533OpenAlex
Atıf94Semantic Scholar · 7 etkili
Yüzdelik%99,5
FWCI16,631,00 = dünya ortalaması
Scopus (SJR)Q1
WoS (JCR)Q1

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıBulletin of the American Meteorological Society
  • Katalog eşleşmesi (ISSN)Bulletin of the American Meteorological Society
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

OpenAlex İngilizce

Data assimilation 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. ...

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Atıflar

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Yazarlar

18
  1. Dale Barker 1
  2. Huang Xiang-Yu 2
  3. Liu Zhiquan 3
  4. Auligné Tom 4
  5. Zhang Xin 5
  6. Rugg Steven 6
  7. Raji Ajjaji 7
  8. Bourgeois Al 8
  9. Al Bourgeois 9
  10. Yongsheng Chen 10
  11. MERAL DEMİRTAŞ SAMSUN ÜNİVERSİTESİ 11
  12. Bray John 12
  13. Guo Yong-Run 13
  14. Tom Henderson 14
  15. Huang Wei 15
  16. Lin Hui-Chuan 16
  17. Michalakes John 17
  18. Rizvi Syed 18