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区域气候模式对我国冬春季气温和降水预报评估

孙林海

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兑秀
宋文玲 刘一鸣

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孙林海, 艾孑兑秀, 宋文玲, 等. 区域气候模式对我国冬春季气温和降水预报评估. 应用气象学报, 2009, 20(5): 546-554..
引用本文: 孙林海,
兑秀, 宋文玲, 等. 区域气候模式对我国冬春季气温和降水预报评估. 应用气象学报, 2009, 20(5): 546-554.
Sun Linhai, Ai Wanxiu, Song Wenling, et al. Assessment analysis on winter and spring temperature and rainfall forecasts over China with regional climate model. J Appl Meteor Sci, 2009, 20(5): 546-554.
Citation: Sun Linhai, Ai Wanxiu, Song Wenling, et al. Assessment analysis on winter and spring temperature and rainfall forecasts over China with regional climate model. J Appl Meteor Sci, 2009, 20(5): 546-554.

区域气候模式对我国冬春季气温和降水预报评估

资助项目: 

中国气象局新技术推广重点项目“月动力模式与统计降尺度结合预测极端温度日数” CMATG2009ID03

国家自然科学基金项目“我国动力统计相结合的年度预测方法研究” 40675038

Assessment Analysis on Winter and Spring Temperature and Rainfall Forecasts over China with Regional Climate Model

  • 摘要: 使用国家气候中心全球海气耦合模式嵌套区域气候模式 (RegCM_NCC) 对1983— 2002年冬季以及1984—2003年春季我国平均气温和降水进行了数值回报试验, 并对2003— 2007年进行实时预报。结果表明:区域气候模式20年冬、春季平均气温的回报与实况在分布形态上较为相似, 我国大部地区平均气温预报与实况接近; 模式回报的冬、春季降水量的分布形态与实况有较大差异, 全国大部地区模式回报降水量比实况偏多, 西南地区降水量误差最大。使用国家气候中心气候预测室的业务预报评分 (P) 和距平相关系数 (ACC) 等5个评估参数对模式的回报和预报进行了评估分析, 结果表明:该模式对我国冬、春季平均气温和降水具有一定的跨季度预报能力。大多数年份冬、春季平均气温的P评分在60以上, 冬、春季平均气温多年平均分别为66.4和67.8;大多数年份的冬、春季降水评分为60~75, 冬、春季降水多年平均分别为69.9和65.6。
  • 图  1  1983— 2002年冬季 (12月—次年2月) 平均气温和降水量及其误差分布

    (a) 平均气温实况, (b) RegCM_NCC模式平均气温回报, (c) 降水量实况, (d) RegCM_NCC模式降水量回报, (e) 平均气温误差, (f) 降水量误差

    Fig. 1  Distribution of winter average temperature and precipitation with their error over China from 1983 to 2002

    (a) observation of average temperature, (b) the hindcast of average temperature by RegCM_NCC, (c) observation of precipitation, (d) the hindcast of precipitation by RegCM_NCC, (e) the error of average temperature, (f) the error of precipitation

    图  2  1983— 2002年冬季实况与RegCM_NCC模式回报平均气温 (a) 和降水 (b) 相关分布

    (阴影区为通过90 %信度检验的区域)

    Fig. 2  Correlation coefficient distribution between RegCM_NCC and the observation in winter from 1983 to 2002

    (shadow areas mean passing the test of 90 % level)

    图  3  1983— 2007年冬季RegCM_NCC模式平均气温 (a) 和降水 (b) 的P评分和相关系数ACC

    Fig. 3  The P score and correlation co efficient between RegCM NCC and the observation in winter from 1983 to 2007 (a) ave rage temperature, (b) precipitation

    图  4  1984—2003年春季平均气温和降水量及其误差分布

    (a) 平均气温实况, (b) RegCM_NCC模式平均气温回报, (c) 降水量实况, (d) RegCM_NCC模式降水量回报, (e) 平均气温误差, (f) 降水量误差

    Fig. 4  Distribution of spring average temperature and precipitation with their error over China from 1984 to 2003

    (a) observation of average temperature, (b) the hindcast of the average temperature by RegCM_NCC, (c) obse rvation of precipitation, (d) the hindcast of precipitation by RegCM_NCC, (e) the error of average temperature, (f) the error of precipitation

    图  5  1984— 2003年春季实况与RegCM_NCC模式回报平均气温 (a) 和降水 (b) 相关分布

    (阴影区为相关系数通过90 %信度检验的区域)

    Fig. 5  Correlation coefficient distribution between RegCM_NCC and the observation in spring from 1984 to 2003 (a) average temperature, (b) precipitation

    (shadow areas mean passing the test of 90 % level)

    图  6  1984— 2007年春季RegCM_NCC模式平均气温 (a) 和降水 (b) 的P评分和相关系数ACC

    Fig. 6  The P score and correlation coefficient between RegCM_NCC and the observation in spring from 1984 to 2007 (a) average temperature, (b) precipitation

    表  1  RegCM_NCC模式1983— 2007年冬季平均气温和降水的评估参数

    Table  1  Assessment parameters of RegCM_NCC on average temperature and precipitation in winter during 1983— 2007

    表  2  RegCM_NCC模式1984— 2007年春季平均气温和降水的评估参数

    Table  2  Assessment parameters of RegCM_NCC on average temperature and precipitation in spring during 1984— 2007

  • [1] IPCC.Climate Change 2001 : The Scientific Basis ∥Houghton J T, Ding Y, Griggs D J, et al.Contribution of Working Group Ⅰ to the Third Assessment Report of the Intergovernmental Panel on Climate Change.Cambridge: Cambridge University Press, 2001 : 1-881.
    [2] Ding Yihui, Shi Xueli, Liu Yiming, et al.Multi-year simulations and experimental seasonal prediction s for rainy seasonsin China by using a nested regional climate model (RegCM_NCC).Part Ⅰ : Sensitivity study.Adv Atmos Sci, 2006, 23 (3): 323-341. doi:  10.1007/s00376-006-0323-8
    [3] Ding Yihui, Liu Yiming, Shi Xueli, et al.Multi-year simulations and experimental seasonal predictions for rainy seasons in China by using a nested regional climate model (RegCM_NCC).Part Ⅱ :The experimental seasonal prediction.Adv Atmos Sci, 2006, 23(4) : 487-503. doi:  10.1007/s00376-006-0487-2
    [4] Giorgi F, Marinucci M R, Bates G T.Development of a Second-generation Regional Climate Model (RegCM2).Part Ⅰ : Boundary-layer and radiative transfer processes.Mon Wea Rev, 1993, 121 : 2794-2813. doi:  10.1175/1520-0493(1993)121<2794:DOASGR>2.0.CO;2
    [5] Giorgi F, Marinucci M R, Bates G T, et al.Development of a Second-generation Region al Climate Model (RegCM2).Part Ⅱ : Convective processes and assimilation of lateral boundary conditions.Mon Wea Rev, 1993, 121 : 2814-2832. doi:  10.1175/1520-0493(1993)121<2814:DOASGR>2.0.CO;2
    [6] 张晶, 丁一汇.一个改进的陆面过程模式及其模拟试验研究第一部分:陆面过程模式及其"独立 (off-line) "模拟试验和模式性能分析.气象学报, 1998, 56 (1): 1-19. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXB801.000.htm
    [7] 丁一汇, 张晶, 赵宗慈.一个改进的陆面过程模式及其模拟试验研究第二部分:陆面过程模式与区域气候模式的耦合模拟试验.气象学报, 1998, 56(4): 385-400. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXB804.000.htm
    [8] 史学丽.一个改进的陆面过程模式及其与区域气候模式的耦合试验.南京:南京气象学院, 2000.
    [9] Tiedtke M.A comprehensive mass flux scheme for cumulus parameterization in large-scale schemes.Mon Wea Rev, 1989, 117 : 1779-1800. doi:  10.1175/1520-0493(1989)117<1779:ACMFSF>2.0.CO;2
    [10] 陈伯民, 陈玉春, 苏志侠, 等.修正的ECMWF质量通量积云参数化方案的预报试验.高原气象, 1996, 15(1): 37-47. http://www.cnki.com.cn/Article/CJFDTOTAL-GYQX601.004.htm
    [11] Liu Yiming, Ding Yihui.Modified mass flux cumulus parameterization scheme and its simulation experiment Ⅰ: Mass flux scheme and its simulation of the flooding in 1991.Acta Meteo Sinica, 2002, 16(1): 37-49.
    [12] Liu Yiming, Ding Yihui.Modified mass flux cumulus parameterization scheme and its simulation experiment Ⅱ: Cumulus convection of three schemes and the sensitivity experiments of MFS.Acta Meteo Sinica, 2002, 16(2) : 165-179.
    [13] Betts A K.A new convective adjustment scheme, PartⅠ: Observational and theoretical basis.Quart J R Met Soc, 1986, 112: 677-691. http://math.nyu.edu/~gerber/courses/2016-fruhling/betts-QJ-simple_convection_scheme_theory-1986.pdf
    [14] Betts A K, Miller M J.A new convective adjustment scheme, Part Ⅱ: Single column tests using GATE wave, BOMEX, and arctic airmass data sets.Quart J R Met Soc, 1986, 112 : 693-709. https://www.researchgate.net/publication/227726932_A_new_convective_adjustment_scheme_Part_II_Single_column_tests_using_GATE_wave_BOMEX_ATEX_and_arctic_air-mass_data_sets
    [15] Mellor C L, Yamada T.A hierarchy of turbulence closure models for planetary boundary layers.J Atmos Sci, 1974, 31 : 1791-1806. doi:  10.1175/1520-0469(1974)031<1791:AHOTCM>2.0.CO;2
    [16] 陈桂英, 赵振国.短期气候预测评估方法和业务初估.应用气象学报, 1998, 9(2) : 178-185. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=19980225&flag=1
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出版历程
  • 收稿日期:  2008-07-23
  • 修回日期:  2009-06-22
  • 刊出日期:  2009-10-31

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