| 不同区域气候模式对中国地区温度和降水的长期模拟比较 |
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| 引用本文： | 冯锦明,符淙斌.不同区域气候模式对中国地区温度和降水的长期模拟比较[J].大气科学,2007,31(5):805-814. |
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| 作者姓名： | 冯锦明 符淙斌 |
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| 作者单位： | 中国科学院大气物理研究所东亚区域气候-环境重点实验室,全球变化东亚区域研究中心, 北京,100029 |
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| 基金项目： | 国家重点基础研究发展规划项目2006CB400506，亚洲区域模式比较计划RMIP |
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| 摘 要： | 利用亚洲区域模式比较计划RMIP第二阶段五个区域模式和一个变网格全球模式，对中国地区1988年12月～1998年11月十年模拟的平均温度和降水结果，分析比较了不同区域气候模式对中国地区温度和降水的模拟能力。研究结果表明:几乎所有模式都能模拟出中国地区多年平均温度和降水的基本空间分布形态，但模式模拟的温度普遍偏低，在大部分区域，大多数模式模拟的降水偏多，而且不同模式之间存在较大差别。模式能较好地反映出中国地区温度的年际变化，对夏季降水的年际变化模拟较差，对冬季模拟较好。
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| 关 键 词： | 亚洲区域模式比较计划 平均温度 降水 空间分布 年际变化 |
| 文章编号： | 1006-9895（2007）05-0805-10 |
| 修稿时间： | 2006-03-212006-05-19 |
Inter-comparison of Long-Term Simulations of Temperature and Precipitation over China by Different Regional Climate Models |
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| FENG Jin-Ming and FU Cong-Bin.Inter-comparison of Long-Term Simulations of Temperature and Precipitation over China by Different Regional Climate Models[J].Chinese Journal of Atmospheric Sciences,2007,31(5):805-814. |
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| Authors: | FENG Jin-Ming and FU Cong-Bin |
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| Abstract: | Because the regional climate model(RCM) includes the detailed surface characteristics and physical processes,it can simulate climatic fields more exactly than the global model does.Currently,significant achievements for RCMs have been obtained in simulating mean climate state,extreme events of climate and climate changes,however there are many problems and limitations.In the past,most works focused on the case study and the sensitivity experiments.The integration period of experiments was often short,although some long-term experiments were performed in the recent years.Also most of researches on regional climate simulation are carried out by a single model,the inter-comparison among different RCMs is scarce.In order to understand the performance of RCMs in simulating Asian,especially East Asian climate,the Regional Climate Model Inter-comparison Project(RMIP) for Asia was launched by START Regional Center for Temperate East Asia,Institute of Atmospheric Physics(IAP)/Chinese Academy of Sciences(CAS),in 2000.In phase II of RMIP,six models participate for 10-year climate simulation over Asia.The objective is to assess the statistical characteristics and capabilities of the models in simulating Asian monsoon climate systemically,including mean field and variability of meteorological elements.Among six models,there are five RCMs and one global variable resolution model.The RCMs include: RIEMS,developed by START Regional Center for Temperate East Asia,IAP/CAS;NJU RCM,based on MM5v3 and improved by Nanjing University,China;MRI JSM_BAIM,a Japanese Spectral Model developed by Meteorological Research Institute/Japan Meteorological Agency;RegCM2b,based on RegCM2,improved by Central Research Institute of Electric Power Industry,Japan;SNU RCM,based on MM5v3,improved by Seoul National University,Korea.CSIRO CCAM is a global variable resolution model,developed by Commonwealth Scientific and Industrial Research Organization Atmospheric Research,Australia.These models are all integrated from December 1988 to November 1998.The experiment domain contains a large part of Asian continent,the western Pacific,the Bay of Bengal and the South China Sea.The horizontal resolution of the models is 60 km,and the driving fields come from NCEP-II reanalysis data.The inter-comparison of temperature and precipitation over China simulated by six models,as well as the validation to the observation,are presented in the paper.The observed data at 730 stations in China are used for model validation.In some areas of western China,observation stations are very sparse,thus CRU(Climatic Research Unit,University of East Anglia) data are used.Results show that almost all of the models have the capability to reproduce the spatial patterns of both temperature and precipitation over China.But a general cold bias is found in the temperature simulations,while most models overestimate the precipitation over most areas.The location and intensity of the rainbelt center have the differences!from the observations.The models usually have a good performance in simulating the interannual variability of temperature over China,as well as the precipitation in winter.However the interannual variability of summer precipitation is poorly simulated.The deviation of the large-scale driving fields and the deficiency of validation data may be some reasons for the bias of simulation.In addition,the bias of stream field is an important reason for simulation errors of RCMs.Cumulus parameterization scheme has large influence on precipitation simulation. |
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| Keywords: | RMIP mean temperature precipitation spatial pattern interannual variation |
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