globalchange  > 气候减缓与适应
DOI: 10.1007/s00704-018-2457-x
WOS记录号: WOS:000464905800054
论文题名:
Assessment of trends and variability in surface air temperature on multiple high-resolution datasets over the Indochina Peninsula
作者: Ge, Fei1; Peng, Ting2; Fraedrich, Klaus3; Sielmann, Frank4; Zhu, Xiuhua5; Zhi, Xiefei2; Liu, Xiaoran6; Tang, Weiwei7; Zhao, Pengguo1
通讯作者: Ge, Fei
刊名: THEORETICAL AND APPLIED CLIMATOLOGY
ISSN: 0177-798X
EISSN: 1434-4483
出版年: 2019
卷: 135, 期:3-4, 页码:1609-1627
语种: 英语
WOS关键词: CLIMATE VARIABILITY ; MEAN TEMPERATURE ; RAINFALL ; REANALYSIS ; PACIFIC ; MONSOON ; INTERPOLATION ; ASIA
WOS学科分类: Meteorology & Atmospheric Sciences
WOS研究方向: Meteorology & Atmospheric Sciences
英文摘要:

The climatological means and surface air temperature (SAT) trends of the Indochina Peninsula (ICP) are being analyzed on a yearly and seasonal basis using a newly published observation dataset (SA-OBS). The SAT for the period 1981 to 2010 shows a north-south gradient over the ICP, with the highest mean annual temperature in the central plain and the lowest in the northern mountain region. In addition, over the past 30years, the ICP has been undergoing a significant warming trend of 0.37 degrees C/decade. The seasonal mean SAT fluctuations are significant in the dry seasons compared to the wet seasons, with a rapid increase in JFM (January to March) and OND (October to December). Further, comparisons are made using SA-OBS and the other observation (CRU, GHCN_CAMS, DEL) or reanalysis (ERA-20C, CERA-20C, ERA-Interim, JRA-55) datasets. The result shows (i) that the SA-OBS dataset can capture the spatial distributions and temporal patterns reasonably well throughout the ICP on annual and seasonal scales. (ii) CERA-20C is very similar to SA-OBS in replicating the annual mean SAT over the ICP, suggesting that the ECMWF's coupled data assimilation system (CERA) could obviously improve the temperature estimates in that region. (iii) That significant differences, however, still exist between observations and reanalyses in annual and seasonal trends. These discrepancies need to be taken into account to study climate change and variability or to assess regional climate models with focus on the ICP.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/125301
Appears in Collections:气候减缓与适应

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作者单位: 1.Chengdu Univ Informat Technol, Coll Atmospher Sci, Plateau Atmosphere & Environm Key Lab Sichuan Pro, Chengdu, Sichuan, Peoples R China
2.Nanjing Univ Informat Sci & Technol, KLME, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing, Jiangsu, Peoples R China
3.Max Planck Inst Meteorol, Hamburg, Germany
4.Hamburg Univ, Inst Meteorol, Hamburg, Germany
5.Hamburg Univ, Klima Campus, Hamburg, Germany
6.Chongqing Climate Ctr, Chongqing, Peoples R China
7.Chengdu Univ Informat Technol, Coll Commun Engn, Chengdu, Sichuan, Peoples R China

Recommended Citation:
Ge, Fei,Peng, Ting,Fraedrich, Klaus,et al. Assessment of trends and variability in surface air temperature on multiple high-resolution datasets over the Indochina Peninsula[J]. THEORETICAL AND APPLIED CLIMATOLOGY,2019-01-01,135(3-4):1609-1627
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