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Volume 23 Issue 3

May  2006

Article Contents
Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2006 >  23(3): 323-341

Multi-year Simulations and Experimental Seasonal Predictions for Rainy Seasons in China by Using a Nested Regional Climate Model (RegCM NCC). Part I: Sensitivity Study

  • 1.

    Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081,Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081,Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081,Chinese Academy of Meteorological Science, China Meteorological Administration, Beijing 100081,Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081,Department of Atmospheric Sciences, Nanjing University, Nanjing 210093,Department of Atmospheric Sciences, Nanjing University, Nanjing 210093,Department of Geoscience, Zhejiang University, Hangzhou 310027,Department of Geoscience, Zhejiang University, Hangzhou 310027


doi: 10.1007/s00376-006-0487-2

  • A modified version of the NCAR/RegCM2 has been developed at the National Climate Center (NCC), China Meteorological Administration, through a series of sensitivity experiments and multi-year simulations and hindcasts, with a special emphasis on the adequate choice of physical parameterization schemes suitable for the East Asian monsoon climate. This regional climate model is nested with the NCC/IAP (Institute of Atmospheric Physics) T63 coupled GCM to make an experimental seasonal prediction for China and East Asia. The four-year (2001 to 2004) prediction results are encouraging. This paper is the first part of a two-part paper, and it mainly describes the sensitivity study of the physical process parameterization represented in the model. The systematic errors produced by the different physical parameterization schemes such as the land surface processes, convective precipitation, cloud-radiation transfer process, boundary layer process and large-scale terrain features have been identified based on multi-year and extreme flooding event simulations. A number of comparative experiments has shown that the mass flux scheme (MFS) and Betts-Miller scheme (BM) for convective precipitation, the LPMI (land surface process model I) and LPMII (land surface process model II) for the land surface process, the CCM3 radiation transfer scheme for cloud-radiation transfer processes, the TKE (turbulent kinetic energy) scheme for the boundary layer processes and the topography treatment schemes for the Tibetan Plateau are suitable for simulations and prediction of the East Asia monsoon climate in rainy seasons. Based on the above sensitivity study, a modified version of the RegCM2 (RegCM NCC) has been set up for climate simulations and seasonal predictions.
  • [1] LIU Ge, WU Renguang, ZHANG Yuanzhi, and NAN Sulan, 2014: The Summer Snow Cover Anomaly over the Tibetan Plateau and Its Association with Simultaneous Precipitation over the Mei-yu-Baiu region, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 755-764.  doi: 10.1007/s00376-013-3183-z
    [2] Peihua QIN, Zhenghui XIE, Jing ZOU, Shuang LIU, Si CHEN, 2021: Future Precipitation Extremes in China under Climate Change and Their Physical Quantification Based on a Regional Climate Model and CMIP5 Model Simulations, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 460-479.  doi: 10.1007/s00376-020-0141-4
    [3] Wu Guoxiong, Liu Hui, Zhao Yucheng, Li Weiping, 1996: A Nine-layer Atmospheric General Circulation Model and Its Performance, ADVANCES IN ATMOSPHERIC SCIENCES, 13, 1-18.  doi: 10.1007/BF02657024
    [4] GU Wei, LI Chongyin, WANG Xin, ZHOU Wen, LI Weijing, 2009: Linkage Between Mei-yu Precipitation and North Atlantic SST on the Decadal Timescale, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 101-108.  doi: 10.1007/s00376-009-0101-5
    [5] WANG Xin, WANG Dongxiao, ZHOU Wen, LI Chongyin, 2012: Interdecadal Modulation of the Influence of La Nina Events on Mei-yu Rainfall over the Yangtze River Valley, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 157-168.  doi: 10.1007/s00376-011-1021-8
    [6] LI Jianglong, ZHANG Xuehong, YU Yongqiang, DAI Fushan, 2004: Primary Reasoning behind the Double ITCZ Phenomenon in a Coupled Ocean-Atmosphere General Circulation Model, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 857-867.  doi: 10.1007/BF02915588
    [7] WANG Zhi, GAO Kun, 2003: Sensitivity Experiments of an Eastward-Moving Southwest Vortex to Initial Perturbations, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 638-649.  doi: 10.1007/BF02915507
    [8] WANG Zhi, GAO Kun, 2006: Adjoint Sensitivity Experiments of a Meso- -scale Vortex in the Middle Reaches of the Yangtze River, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 267-281.  doi: 10.1007/s00376-006-0267-z
    [9] Gao Xuejie, Zhao Zongci, Ding Yihui, Huang Ronghui, Filippo Giorgi, 2001: Climate Change due to Greenhouse Effects in China as Simulated by a Regional Climate Model, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 1224-1230.  doi: 10.1007/s00376-001-0036-y
    [10] Jing ZOU, Zhenghui XIE, Chesheng ZHAN, Feng CHEN, Peihua QIN, Tong HU, Jinbo XIE, 2019: Coupling of a Regional Climate Model with a Crop Development Model and Evaluation of the Coupled Model across China, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 527-540.  doi: 10.1007/s00376-018-8160-0
    [11] SHI Xueli, XIE Zhenghui, LIU Yiming, YANG Hongwei, 2007: Implementation of a Surface Runoff Model with Horton and Dunne Mechanisms into the Regional Climate Model RegCM_NCC, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 750-764.  doi: 10.1007/s00376-007-0750-1
    [12] GAO Xuejie, LUO Yong, LIN Wantao, ZHAO Zongci, Filippo GIORGI, 2003: Simulation of Effects of Land Use Change on Climate in China by a Regional Climate Model, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 583-592.  doi: 10.1007/BF02915501
    [13] Liu Huaqiang, Qian Yongfu, Zheng Yiqun, 2002: Effects of Nested Area Size upon Regional Climate Model Simulations, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 111-120.  doi: 10.1007/s00376-002-0038-4
    [14] CHEN Feng, and XIE Zhenghui, 2013: An evaluation of RegCM3_CRES for regional climate modeling in China, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1187-1200.  doi: 10.1007/s00376-012-2114-8
    [15] ZENG Xinmin, LIU Jinbo, MA Zhuguo, SONG Shuai, XI Chaoli, WANG Hanjie, 2010: Study on the Effects of Land Surface Heterogeneitiesin Temperature and Moisture on Annual Scale Regional Climate Simulation, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 154-163.  doi: 10.1007/s00376-009-8117-4
    [16] Wei Helin, Wang Wei-Chyung, 1998: A Regional Climate Model Simulation of Summer Monsoon over East Asia: A Case Study of 1991 Flood in Yangtze-Huai River Valley, ADVANCES IN ATMOSPHERIC SCIENCES, 15, 489-509.  doi: 10.1007/s00376-998-0027-3
    [17] Gao Xuejie, Zhao Zongci, Filippo Giorgi, 2002: Changes of Extreme Events in Regional Climate Simulations over East Asia, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 927-942.  doi: 10.1007/s00376-002-0056-2
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    [19] DING Yihui, LIU Yiming, SHI Xueli, LI Qingquan, LI Qiaoping, LIU Yan, 2006: Multi-Year Simulations and Experimental Seasonal Predictions for Rainy Seasons inChina byUsing a Nested Regional ClimateModel (RegCM NCC) Part II: The Experimental Seasonal Prediction, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 487-503.  doi: 10.1007/s00376-006-0323-8
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    • Manuscript History

    Manuscript received: 10 May 2006
    Manuscript revised: 10 May 2006
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

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    Multi-year Simulations and Experimental Seasonal Predictions for Rainy Seasons in China by Using a Nested Regional Climate Model (RegCM NCC). Part I: Sensitivity Study

    • 1. Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081,Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081,Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081,Chinese Academy of Meteorological Science, China Meteorological Administration, Beijing 100081,Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081,Department of Atmospheric Sciences, Nanjing University, Nanjing 210093,Department of Atmospheric Sciences, Nanjing University, Nanjing 210093,Department of Geoscience, Zhejiang University, Hangzhou 310027,Department of Geoscience, Zhejiang University, Hangzhou 310027
    • Manuscript received: 2006-05-10
    • Manuscript revised: 2006-05-10

    Abstract: A modified version of the NCAR/RegCM2 has been developed at the National Climate Center (NCC), China Meteorological Administration, through a series of sensitivity experiments and multi-year simulations and hindcasts, with a special emphasis on the adequate choice of physical parameterization schemes suitable for the East Asian monsoon climate. This regional climate model is nested with the NCC/IAP (Institute of Atmospheric Physics) T63 coupled GCM to make an experimental seasonal prediction for China and East Asia. The four-year (2001 to 2004) prediction results are encouraging. This paper is the first part of a two-part paper, and it mainly describes the sensitivity study of the physical process parameterization represented in the model. The systematic errors produced by the different physical parameterization schemes such as the land surface processes, convective precipitation, cloud-radiation transfer process, boundary layer process and large-scale terrain features have been identified based on multi-year and extreme flooding event simulations. A number of comparative experiments has shown that the mass flux scheme (MFS) and Betts-Miller scheme (BM) for convective precipitation, the LPMI (land surface process model I) and LPMII (land surface process model II) for the land surface process, the CCM3 radiation transfer scheme for cloud-radiation transfer processes, the TKE (turbulent kinetic energy) scheme for the boundary layer processes and the topography treatment schemes for the Tibetan Plateau are suitable for simulations and prediction of the East Asia monsoon climate in rainy seasons. Based on the above sensitivity study, a modified version of the RegCM2 (RegCM NCC) has been set up for climate simulations and seasonal predictions.

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