Advances in Earth Science ›› 2017, Vol. 32 ›› Issue (7): 781-787. doi: 10.11867/j.issn.1001-8166.2017.07.0781

• Orginal Article • Previous Articles    

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)

Guanzhou Liu, Xinzhong Liang. Progress of the Climate Extension of Weather Research and Forecast(CWRF)Model Application in China[J]. Advances in Earth Science, 2017, 32(7): 781-787.

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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