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中国天气发生器非降水变量模拟参数分布特征
引用本文:廖要明,陈德亮,谢云.中国天气发生器非降水变量模拟参数分布特征[J].气象学报,2013,71(6):1103-1114.
作者姓名:廖要明  陈德亮  谢云
作者单位:中国气象局气候研究开放实验室, 国家气候中心, 北京, 100081;北京师范大学地表过程与资源生态国家重点实验室, 地理学与遥感科学学院, 北京, 100875;哥德堡大学地球科学系, 哥德堡, 40530;北京师范大学地表过程与资源生态国家重点实验室, 地理学与遥感科学学院, 北京, 100875
基金项目:瑞典STINT基金会资助项目;2011年公益性行业(气象)科研专项(GYHY201106018)。
摘    要:对基于马尔可夫链的理查森型中国天气发生器降水模拟已经有过比较系统的研究,但对非降水变量的模拟及其参数的分布特征等的研究还有待进一步深入。文中根据中国669个站点1971—2000年的逐日降水、最高气温、最低气温和日照时数资料,分干、湿两种状态计算了中国天气发生器各非降水变量的模拟参数——干、湿日条件下平均值和标准差的傅立叶系数以及各变量残差序列之间当天和后延一天的自相关、互相关系数,并分析了这些模拟参数在中国的空间分布规律,为中国天气发生器的进一步推广应用以及模拟参数的空间插值提供了技术支撑。

关 键 词:天气发生器  最高气温  最低气温  日照时数  模拟参数  中国
收稿时间:2012/11/9 0:00:00
修稿时间:2013/7/12 0:00:00

Spatial variability of the parameters of the Chinese stochastic weather generator for daily non-precipitation variables simulation in China
LIAO Yaoming,CHEN Deliang and XIE Yun.Spatial variability of the parameters of the Chinese stochastic weather generator for daily non-precipitation variables simulation in China[J].Acta Meteorologica Sinica,2013,71(6):1103-1114.
Authors:LIAO Yaoming  CHEN Deliang and XIE Yun
Institution:Laboratory for Climate Studies, National Climate Center, CMA, Beijing 100081, China;State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Geography, Beijing Normal University, Beijing 100875, China;Department of Earth Sciences, University of Gothenburg, 40530 Gothenburg, Sweden;State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Geography, Beijing Normal University, Beijing 100875, China
Abstract:Simulation of daily precipitation in China with the "Richardson-type" stochastic weather generator BCC/RCG-WG has been introduced in previous works. But more works need to be done for non-precipitation variables simulation. In this paper, a set of parameters for daily non-precipitation variables including maximum temperature, minimum temperature and sunshine hours is determined from observations during 1971-2000 over China within the framework of the BCC/RCG-WG. The geographic distribution of the Furrier coefficients of mean and standard deviation of the non-precipitation variables for rainy and dry states respectively and autocorrelation coefficients and cross-correlation coefficients of the non-precipitation variables on the same day and with one day lag for the 669 stations all over the China are described and analyzed.
Keywords:Weather generator  Maximum temperature  Minimum temperature  Sunshine hours  Simulation parameters  China
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