违反了 PRIMARY KEY 约束 'PK_t_counter'。不能在对象 'dbo.t_counter' 中插入重复键。 语句已终止。 CMIP5模式对中国东部夏季不同强度降水气候态和年代际变化的模拟能力评估-Capability Assessment of CMIP5 Models in Reproducing Observed Climatology and Decadal Changes in Summer Rainfall with Different Intensities over Eastern China
doi:  10.3878/j.issn.1006-9585.2017.16207
CMIP5模式对中国东部夏季不同强度降水气候态和年代际变化的模拟能力评估

Capability Assessment of CMIP5 Models in Reproducing Observed Climatology and Decadal Changes in Summer Rainfall with Different Intensities over Eastern China
摘要点击 726  全文点击 768  投稿时间:2016-11-23  
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基金:  国家重点研发项目2016YFC0402702,国家自然科学基金项目41575095、41575080,中国科学院国际合作一带一路专项134111KYSB20160010
中文关键词:  CMIP5模式  降水强度  年代际变化  模式评估
英文关键词:  CMIP5 models  Precipitation intensity  Decadal variability  Model evaluation
              
作者中文名作者英文名单位
林朝晖LIN Zhaohui中国科学院大气物理研究所国际气候与环境科学中心, 北京 100029;中国科学院大学, 北京 100049;南京信息工程大学气象灾害预报预警与评估协同创新中心, 南京 210044
杨笑宇YANG Xiaoyu中国科学院大气物理研究所国际气候与环境科学中心, 北京 100029;中国科学院大学, 北京 100049
吴成来WU Chenglai中国科学院大气物理研究所国际气候与环境科学中心, 北京 100029
王雨曦WANG Yuxi中国科学院大气物理研究所国际气候与环境科学中心, 北京 100029;中国科学院大学, 北京 100049
陈红CHEN Hong中国科学院大气物理研究所国际气候与环境科学中心, 北京 100029
引用:林朝晖,杨笑宇,吴成来,王雨曦,陈红.2018.CMIP5模式对中国东部夏季不同强度降水气候态和年代际变化的模拟能力评估[J].气候与环境研究,23(1):1-25,doi:10.3878/j.issn.1006-9585.2017.16207.
Citation:LIN Zhaohui,YANG Xiaoyu,WU Chenglai,WANG Yuxi,CHEN Hong.2018.Capability Assessment of CMIP5 Models in Reproducing Observed Climatology and Decadal Changes in Summer Rainfall with Different Intensities over Eastern China[J].Climatic and Environmental Research(in Chinese),23(1):1-25,doi:10.3878/j.issn.1006-9585.2017.16207.
中文摘要:
      利用东亚地区逐日降水资料,评估了17个CMIP5气候模式对中国东部夏季不同强度降水的时空分布、不同强度降水对1970年代末中国东部夏季总降水量年代际转折的贡献的模拟能力。从夏季不同强度降水占总降水的比重来看,在中国东北和华北地区,小雨和中雨占主导;而在华南和江淮地区,大雨和暴雨则相对更为重要。CMIP5模式可大致模拟出中国东部小雨、大雨和暴雨占总降水比重的空间分布,但对中雨占比的空间分布模拟较差。总体说来,多数CMIP5模式高估了小雨和中雨的比重,但低估了大雨和暴雨的比重,从而导致大多数模式高估东北和华北的总降水量,而低估华南和江淮的总降水量。对1970年代末我国华北和江淮地区夏季降水量的年代际转折,观测资料表明该转折主要体现为大雨和暴雨雨量的年代际转折;仅有少数CMIP5模式能模拟出华北大雨和暴雨年代际减少的特征,使得这些模式对华北地区总降水的年代际变化也有较好的模拟能力。对于江淮区域,由于大雨和暴雨的比重被严重低估,尽管部分模式能模拟出夏季总降水量年代际增加的特征,但却多以小雨、中雨的年代际变化为主。多模式集合并不能显著提高模式对不同强度降水的空间分布的模拟能力,尤其是降水年代际变化的模拟能力。
Abstract:
      The capabilities of 17 CMIP5 models for simulating the intensity distribution of summer rainfall over eastern China are evaluated based on daily observational data. The decadal changes of rainfall with different intensities in the later 1970s and their relative contributions to the decadal change in total rainfall for both observation and model simulations are further analyzed and compared. Observations indicate that the total rainfall is mainly composed of light and medium rainfall over northern and northeastern China, while heavy rainfall account for a large proportion of the total rainfall over southern China and the Yangtze-Huai River basin (YHRB). In general, the CMIP5 models are able to capture the observed spatial distribution of proportion of light and heavy rainfall to total rainfall amount in Eastern China, except for medium rainfall. Most models have a bias toward an overestimation of the light and medium rainfall events, and an underestimation of heavy rainfall events. Therefore, these models overestimate the amount of total rainfall over northern and northeastern China and underestimate the amount of total rainfall over southern China and the YHRB. Our analysis indicates that the observed decadal changes in total rainfall over northern China and the YHRB in the late 1970s are mainly attributed to changes in heavy rainfall events. Over northern China, a few CMIP5 models reproduced the observed decadal decrease in both heavy rainfall and total rainfall. Over the YHRB, several models can reproduce the observed decadal increase in total rainfall. However, these models failed to reproduce the increase in heavy rainfall amount due to the model bias of a severe underestimation of heavy rainfall. The authors also find out that multi-model ensemble technique cannot significantly improve the model performance in simulating the spatial distribution of rainfall intensity, especially its decadal changes.
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