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Regional climate-weather research and forecasting model

  • Xin Zhong Liang*
  • , Min Xu
  • , Xing Yuan
  • , Tiejun Ling
  • , Hyun I. Choi
  • , Feng Zhang
  • , Ligang Chen
  • , Shuyan Liu
  • , Shenjian Su
  • , Fengxue Qiao
  • , Yuxiang He
  • , Julian X.L. Wang
  • , Kenneth E. Kunkel
  • , Wei Gao
  • , Everette Joseph
  • , Vernon Morris
  • , Tsann Wang Yu
  • , Jimy Dudhia
  • , John Michalakes
  • *此作品的通讯作者
  • University of Maryland, College Park
  • University of Illinois at Urbana-Champaign
  • Princeton University
  • National Marine Environmental Forecasting Center
  • Yeungnam University
  • National Oceanic and Atmospheric Administration
  • North Carolina State University
  • Colorado State University
  • Howard University
  • National Center for Atmospheric Research
  • National Renewable Energy Laboratory

科研成果: 期刊稿件文章同行评审

摘要

Regional climate-weather research and forecasting model, an extension of the WRF, incorporate a comprehensive ensemble of alternative physics representations, and facilitate seamless applications for regional weather forecasting and climate prediction. For model evaluation, daily total precipitation and daily mean surface air temperature data are based on measurements from 7,235 National Weather Service cooperative stations across the United States. A preliminary test demonstrated the capability of a physics ensemble approach to improve precipitation prediction at regional-local scales. The skill enhancement, with increased occurrence of higher correlation coefficients and smaller rms errors, is most pronounced during summer, followed by autumn and spring, but rather weak in winter.

源语言英语
页(从-至)1363-1387
页数25
期刊Bulletin of the American Meteorological Society
93
9
DOI
出版状态已出版 - 9月 2012

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 13 - 气候行动
    可持续发展目标 13 气候行动

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