GSTDTAP  > 气候变化
DOI10.1007/s00382-018-4540-5
Improved performance of a PRECIS ensemble in simulating near-surface air temperature over China
Guo, Junhong1; Huang, Guohe2,3; Wang, Xiuquan4; Li, Yongping5
2019-06-01
发表期刊CLIMATE DYNAMICS
ISSN0930-7575
EISSN1432-0894
出版年2019
卷号52期号:11页码:6691-6704
文章类型Article
语种英语
国家Peoples R China; Canada
英文摘要

The near-surface air temperature over China is simulated from 1950 to 2099 using the PRECIS model from the Met Office Hadley Centre at a 25-km resolution. In order to reflect the different parametric and structural uncertainties in future temperature projections, the PRECIS model is driven by five lateral boundary conditions, which include a four-member HadCM3-based perturbed-physics ensemble (i.e., HadCM3Q0, Q1, Q7 and Q13) and an ECHAM5 model. For the present climate, PRECIS reasonably reproduces the spatial patterns of near-surface air temperatures over most regions in China, except for some underestimation in the west. The annual cycles of mean temperature are well captured but its magnitude is slightly underestimated throughout the year. Future temperature projections are further analyzed for three successive 30-year periods throughout the twenty-first century. Despite more uncertainties with time, the ensemble results demonstrate that the temperature over China is likely to continue to increase throughout the twenty-first century, with different spatial-time variation. There is an apparent increasing pattern along with the latitude for seasonal temperature. Through comparison with the driving GCMs, PRECIS ensemble shows smaller biases in most regions of China, except for in the west plateau. The cause is that RCMs could inherit some errors from the driving GCMs in addition to their own errors. These errors could be magnified unintentionally in downscaling over high elevations and have been propagated into future climate projections. However, there is no apparent relationship between projected changes and model biases (i.e., larger bias does not necessarily lead to bigger changes in temperature). These results could be directly used to analyze the impacts caused by climate warming on agriculture, energy and other related sectors in China.


英文关键词Temperature changes China High resolution Regional climate model ensemble
领域气候变化
收录类别SCI-E
WOS记录号WOS:000469016700022
WOS关键词REGIONAL CLIMATE-CHANGE ; UNCERTAINTY ; RAINFALL
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/183477
专题气候变化
作者单位1.North China Elect Power Univ, Coll Environm Sci & Engn, MOE Key Lab Resource & Environm Syst Optimizat, Beijing 102206, Peoples R China;
2.Univ Regina, Inst Energy Environm & Sustainable Communities, Regina, SK S4S 0A2, Canada;
3.Beijing Normal Univ, Ctr Energy Environm & Ecol Res, UR BNU, Beijing 100875, Peoples R China;
4.Univ Prince Edward Isl, Sch Climate Change & Adaptat, Charlottetown, PE C1A 4P3, Canada;
5.Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China
推荐引用方式
GB/T 7714
Guo, Junhong,Huang, Guohe,Wang, Xiuquan,et al. Improved performance of a PRECIS ensemble in simulating near-surface air temperature over China[J]. CLIMATE DYNAMICS,2019,52(11):6691-6704.
APA Guo, Junhong,Huang, Guohe,Wang, Xiuquan,&Li, Yongping.(2019).Improved performance of a PRECIS ensemble in simulating near-surface air temperature over China.CLIMATE DYNAMICS,52(11),6691-6704.
MLA Guo, Junhong,et al."Improved performance of a PRECIS ensemble in simulating near-surface air temperature over China".CLIMATE DYNAMICS 52.11(2019):6691-6704.
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