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Engineering    2017, Vol. 3 Issue (5) : 766-772
Research |
高学杰1,Filippo Giorgi2()
1. Climate Change Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
2. The Abdus Salam International Center for Theoretical Physics, Trieste 34151, Italy
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由国际理论物理中心(ICTP)发展的RegCM 系统,是东亚地区最常用的区域气候模式(RCM)之一。本文对RegCM 系统及其在东亚地区的应用做了简要的回顾,包括对模式发展历史和未来发展规划的描述,以往和目前针对东亚地区的应用情况归纳,及对模式系统所表现出的优势和偏差的总结等。模式模拟偏差主要存在于冷季,其特征主要表现为高纬度地区存在暖偏差和南部区域存在的降水量低估,与大多数全球气候模式(GCM)模拟存在的偏差表现出相似性。最后介绍了该模式在国际联合区域气候降尺度试验(CORDEX)框架下的应用和未来发展计划。本文旨在为东亚地区RegCM 系统的未来应用提供必要的参考。
关键词 区域气候模式中国气候变化陆面模式    

The Abdus Salam International Center for Theoretical Physics (ICTP) RegCM system is one of the most commonly used regional climate models (RCMs) over the East Asia region. In this paper, we present a brief review of the RegCM system and its applications to the East Asia region. The model history and plans for future development are described. Previous and ongoing applications, as well as the advantages and biases found in the model system over the East Asia region, are summarized. The model biases that exist are mainly found in the cold seasons, and are characterized by a warm bias at high latitudes and underestimation of precipitation in the south. These biases are similar to those of most global climate models (GCMs). Finally, future plans on the application and development of the model, and specifically on those within the context of the Coordinated Regional Climate Downscaling Experiment (CORDEX), are introduced. This paper is intended to serve as a reference for future users of the RegCM system within the East Asia region.

Keywords Regional climate model      China      Climate change      Community land model     
最新录用日期:    在线预览日期:    发布日期: 2017-11-08
Xuejie Gao
Filippo Giorgi
Xuejie Gao,Filippo Giorgi. Use of the RegCM System over East Asia: Review and Perspectives[J]. Engineering, 2017, 3(5): 766-772.
网址:     OR
RegCM simulation References Grid size Duration Domain and region of interest
Present-day simulation, parameterization testing, and model validation Liu et al. [24] 50 km 3 months EAS
Liu et al. [38] 50 km 3 months EAS
Zhao et al. [23] 60 km 4 months EAS
Giorgi et al. [39] 60 km 13 months EAS
Lv and Chen [40] 40 km 2 × 3 months North China
Kato et al. [41] 50 km, 25 km Months long EAS
Chen and Fu [42] 60 km 3 years East China
Luo et al. [43] 60 km 4 months EAS
Li and Ding [44] 60 km 5 years China (modified version)
Chow et al. [45] 60 km 3 months EAS
Bao et al. [46] 50 km 4 × 3 months West China
Ju and Wang [47] 60 km 11 years China
Ding et al. [48] 60 km 10 years China (modified version)
Gao et al. [36] 45–360 km 2 × 6 × 5 years E-EAS, China
Im et al. [49] 60 km/20 km 30 years EAS/Korea (double nested)
Zhang et al. [50] 50 km 15 years E-EAS
Wang and Yu [51] 60 km 2 × 10 years Tibetan Plateau
Zou and Xie [52] 60 km 2 × 41 years China
Zou et al. [53] 50 km 80 × 4 months South China, West Pacific, East Indian Ocean, the South China Sea
Gao et al. [54] 25 km 5 × 1 years E-EAS, China
Gao et al. [55] 25 km 20 years E-EAS, China
Climate change simulations and extremes Hirakuchi and Giorgi [22] 50 km 2 × 5 years EAS
Kato et al. [56] 50 km 10 years EAS
Gao et al. [57,58] 60 km 2 × 5 years E-EAS, China
Shi and Gao [59] 20 km 2 × 30 years Eastern China
Im et al. [60] 60 km/20 km 2 × 6 × 5 years EAS/Korea (double nested)
Gao et al. [61,62] 20 km 2 × 30 years E-EAS
Im et al. [63] 60 km/20 km 130 years EAS/Korea (double nested)
Gao et al. [64,65], Xu et al. [66] 25 km 150 years E-EAS
Gu et al. [67] 50 km 2 × 30 years E-EAS
Ji and Kang [68] 50 km/10 km 150 years/2 × 10 years China/Tibetan Plateau (double nested)
Liu et al. [69] 30 km 2 × 11 years (2 scenarios) E-EAS, China
Gao et al. [37] 50 km 150 years (2 scenarios) E-EAS
Oh et al. [70] 50 km 72 years (2 scenarios) CORDEX-East Asia
Wu et al. [28] 50 km 2 × 150 years CORDEX-East Asia, China
Zou and Zhou [71] 50 km 2 × 25 years CORDEX-East Asia, China
Land-use effect simulations Lv and Chen [72] 50 km 2 × 3 months China
Zheng et al. [73] 120 km 2 × 10 months China
Gao et al. [74] 60 km 2 × 5 years E-EAS, China
Ding et al. [75] 60 km 2 × 5 years E-EAS, China
Li et al. [76] 60 km 2 × 25 months E-EAS, China
Gao et al. [77] 50 km 2 × 15 years E-EAS, China
Wu et al. [78] 50 km/10 km 3 × 10 years China/southwest China
(double nested)
Yu and Xie [79] 60 km 2 × 24 years China
Chen et al. [80] 50 km 2 × 22 years China
Hua et al. [81] 50 km 3 × 15 years China
Aerosol effect simulations Qian and Giorgi [82] 60 km Months long EAS
Giorgi et al. [83] 60 km 4 × 5 years EAS
Giorgi et al. [84] 60 km 4 × 5 years EAS
Gao et al. [85] 60 km 2 × 5 years E-EAS, China
Li et al. [86] 75 km 2 × 2 × 1 months China (modified version)
Zhang et al. [87] 50 km 2 × 10 × 8 months E-EAS
Ji et al. [88] 50 km 2 × 15 years E-EAS, China
Su et al. [89] 60 km 2 × 10 years E-EAS
Ji et al. [90] 50 km 2 × 21 years Tibetan Plateau, India
Zhang et al. [91] 50 km 3 × 10 years E-EAS
Coupling of other components Wang et al. [92] 100 km Months long China (chemistry model)
Yao and Zhang [93] 60 km 2 × 40 × 4 months EAS (ocean model)
Li and Zhou [94] 60 km 2 × 20 years E-EAS (ocean model)
Chen and Xie [95] 60 km 20 years China (crop model)
Qin et al. [96] 60 km 45 years China (groundwater model)
Zou and Zhou [97] 45 km 2 × 26 years East China, western Pacific (ocean model)
Paleo and seasonal forecast experiments Ding et al. [98] 60 km 10 years China (modified version)
Ju et al. [99] 60 km 2 × 11 years EAS
Ju and Lang [100] 60 km 20 × 6 months China
Chen and Xie [95] 60 km 10 × 9 months China, East China
Zhang et al. [101] 50 km 10 × 7 months E-EAS, China
Tab.1  List of RegCM simulations over East Asia and China.
Fig.1  Spatial correlation coefficient between simulated and observed annual mean precipitation over China under different model resolutions (dashed line is the 0.99 significance level). (Modified from Ref. [21])
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