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《Chinese Journal of Atmospheric Sciences》 2006-05
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An Overview of China Climate Change over the 20th Century Using UK UEA/CRU High Resolution Grid Data

WEN Xin-Yu~(1),WANG Shao-Wu~(1),ZHU Jin-Hong~(1, 2),and David VINER~31 Department of Atmospheric Science,School of Physics,Peking University,Beijing 1008712 Illinois State Water Survey,University of Illinois at Urbana-Champaign,Illinois,USA3 Climatic Research Unit,School of Environmental Sciences,University of East Anglia,Norwich,UK  
The operational observations in China started in 1951.The availabity of instrumental observations is poor in the first half of the 20th century.Therefore,it is difficult to use them in discussing long-term climate change issue.Although a number of proxy data could be used,the deficiencies are apparent,such as the coarse temporal and spatial resolution,etc.The University of East Anglia recently released the latest version of high resolution grid dataset,named as CRU-TS2.1.It is a completely covered monthly dataset of surface climatic variables.Compared with domestic observations,it has some merits concerning China climate change over the 20th century.Firstly,this dataset provides new information of the climate change over western China before 1950.Although it should be noted that the records are interpolated from observations,the results show significant correlation with the observation in the second half of the 20th century.Secondly,CRU dataset provides monthly mean fields,while domestic century-scale series is just annual mean or seasonal mean data in the first half of the 20th century.Moreover,there are not any proxy data included in the construction of this dataset,which can bring noise and uncertainty.Hence,comparison between the CRU dataset and domestic observations is the way to verify the characteristics of China climate change during the 20th century and to validate the quality of the dataset in both China and UK. The results are as follows:(1) The interannual temperature variation is identical in both datasets.Their positive correlation coefficient is 0.84.They slightly differ from each other in the 1920s,when CRU underestimates the warming change in China,and therefore overestimates the warming trend of the whole century.(2) Even in the given 10 regional scales,both CRU and domestic data exhibit good consistency,apart from Tibet and Xinjiang areas.About one celsius degree bias is estimated by CRU in Tibet during the 1920s,which is the major difference from the reconstructed record.(3) The seasonal variability of precipitation over eastern China is identical in both series.The highest correlation coefficient(0.93) for 100 years among the four seasons is in autumn,while winter is the season that their correlation is the lowest one(0.77).(4) CRU data exhibits appropriate interdecadal variation of temperature and precipitation as shown in China records.Particularly,CRU dataset also presents some primary features before 1951,especially in western China,where and when no observational data can be available.Therefore,CRU high resolution grid data present a more complete picture of climate change in China over the 20th century.
【Fund】: 国家自然科学基金资助项目40331010
【CateGory Index】: P467
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5 Wu Xiangding Sun Li Zhan Xuzhi(Institute of Geography. Chinese Academy of Sciences, Beijing);A PRELIMINARY STUDY ON RECONSTRUCTING PASTCLIMATE IN THE MIDDLE XIZANG PLATEAU BYUSING TREE-RING DATA[J];Acta Geographica Sinica;1989-03
6 Wang Bingzhong Liu Gengshan(Chinese Academy of Meteorological Sciences,Beijing 100081);AN ESTIMATION OF TOTAL ATMOSPHERIC WATER VAPOR IN THE MAINLAND OF CHINA[J];Acta Geographica Sinica;1993-03
7 WANG Shao wu 1, GONG Dao yi 2, YE Jin lin 1, CHEN Zhen hua 1 (1 Department of Geophysics, Peking University, Beijing 100871; 2 Institute of Resources Science, Beijing Normal University, Beijing 100875);Seasonal Precipitation Series of Eastern China Since 1880 and the Variability[J];ACTA GEOGRAPHICA SINICA;2000-03
8 Gong Daoyi Wang Shaowu (Department of Geophysics, Peking University, Beijing 100871);LONG TERM VARIABILITY OF THE SIBERIAN HIGH AND THE POSSIBLE CONNECTION TO GLOBAL WARMING[J];ACTA GEOGRAPHICA SINICA;1999-02
9 Li Kerang Lin Xianchao(Institute of Geography, Chinese Academy of Sciences and Slate Planning Commission of the People's Republic of China )Wei-chyung Wang( Center of Atmospheric Science Research. New York State University );THE LONG-RANGE VARIATIONAL TREND OF TEMPERATURE IN CHINA FROM 1951 TO 1988[J];Geographical Research;1990-04
10 Wei Keqin; Lin Ruifen (Guangzhou Branck, Institute of Geochemistry, Academia Sinica, Guangzhou 510640);AN ENQUIRY INTO PALAEOCLIMATIC INFORMATION FROM OXYGEN ISOTOPIC PROFILE OF DUNDE ICE CORE IN QILIANSHAN[J];GEOCHIMICA;1994-04
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