地球科学进展 ›› 2017, Vol. 32 ›› Issue (7): 781 -787. doi: 10.11867/j.issn.1001-8166.2017.07.0781

上一篇    

新一代区域气候模式(CWRF)国内应用进展
刘冠州 1( ), 梁信忠 1, 2, *( )   
  1. 1.南京信息工程大学, 江苏 南京 210044
    2.Earth System Science Interdisciplinary Center, University of Maryland, MD, USA 20742
  • 收稿日期:2017-02-16 修回日期:2017-05-20 出版日期:2017-07-20
  • 通讯作者: 梁信忠 E-mail:384137890@qq.com;xliang@umd.edu
  • 基金资助:
    国家气候中心中国精细化区域气候预测系统研发项目“中国精细化区域气候预测系统”(编号:NCC2016013);江苏省“北极阁”开放研究基金“精细化区域数值模式本地化基础构建”(编号:NJCAR2016ZD03)资助

Progress of the Climate Extension of Weather Research and Forecast(CWRF)Model Application in China

Guanzhou Liu 1( ), Xinzhong Liang 1, 2, *( )   

  1. 1.Nanjing University of Information Science & Technology,Nanjing 210044,China
    2.Earth System Science Interdisciplinary Center, University of Maryland, MD, 20742, USA
  • Received:2017-02-16 Revised:2017-05-20 Online:2017-07-20 Published:2017-07-20
  • Contact: Xinzhong Liang E-mail:384137890@qq.com;xliang@umd.edu
  • About author:

    First author:Liu Guanzhou(1993-),male,Nantong City,Jiangsu Province, Master student. Research areas include the study of regional climate simulation.E-mail:384137890@qq.com

  • Supported by:
    Project supported by the National Climate Center“ Chinese refined regional climate prediction system” (No:NCC2016013);Jiangsu Provincial Meteorological Bureau Open Research Fund “Refined regional numerical model localized infrastructure” (No:NJCAR2016ZD03)

随着区域气候模拟研究的不断深入,新一代区域气候模式CWRF因为其优异性能开始被广泛应用。从其对WRF物理过程的改良,模拟区域和侧边界条件的构建,个例模拟研究和与RegCM的模拟对比3个方面介绍CWRF模式在我国的发展与应用概况,说明CWRF在区域气候模拟中的准确性和先进性。探究了CWRF模式在国内的两大发展前景: 一是在CWRF模式中引入更为准确的物理过程参数化方案,并可进行有机组合实现优化集成气候预报;二是把CWRF与全球气候模式嵌套,进行短期气候的业务预报和长期气候变化及其影响的预测评估。梳理和归纳CWRF模式在我国的应用现状,展望CWRF模式本土化的发展趋势,为CWRF模式的使用和研究提供有意义的参考。

With the development of regional climate simulation, CWRF, the new generation regional climate model, is increasingly used in climate research because of its advanced capability and high skill. The CWRF application in China was introduced from three aspects: its modifications of WRF physics parameterizations, the construction of modeling domain and lateral boundary conditions, the case simulation study and comparison with RegCM, illustrating the accuracy and advantage of CWRF in regional climate simulations. Furthermore, two major CWRF developmental prospects in China were explored: one was to incorporate more accurate physical parameterization schemes and optimized multi-physics ensemble approach; the other was to nest CWRF in GCMs for short-term climate operational forecast and long-term climate change prediction and impact assessment. The status of CWRF applications in China was summarized and the outlook of its further development was pointed out, which provided a meaningful reference for more general research and application.

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