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    Trend of Surface Air Temperature in Eastern China and Associated Large-Scale Climate Variability over the Last 100 Years

    Source: Journal of Climate:;2014:;volume( 027 ):;issue: 012::page 4693
    Author:
    Zhao, Ping
    ,
    Jones, Phil
    ,
    Cao, Lijuan
    ,
    Yan, Zhongwei
    ,
    Zha, Shuyao
    ,
    Zhu, Yani
    ,
    Yu, Yu
    ,
    Tang, Guoli
    DOI: 10.1175/JCLI-D-13-00397.1
    Publisher: American Meteorological Society
    Abstract: sing the reconstructed continuous and homogenized surface air temperature (SAT) series for 16 cities across eastern China (where the greatest industrial developments in China have taken place) back to the nineteenth century, the authors examine linear trends of SAT. The regional-mean SAT over eastern China shows a warming trend of 1.52°C (100 yr)?1 during 1909?2010. It mainly occurred in the past 4 decades and this agrees well with the variability in another SAT series developed from a much denser station network (over 400 sites) across this part of China since 1951. This study collects population data for 245 sites (from these 400+ locations) and split these into five equally sized groups based on population size. Comparison of these five groups across different durations from 30 to 60 yr in length indicates that differences in population only account for between 9% and 24% of the warming since 1951. To show that a larger urbanization impact is very unlikely, the study additionally determines how much can be explained by some large-scale climate indices. Anomalies of large-scale climate indices such as the tropical Indian Ocean SST and the Siberian atmospheric circulation systems account for at least 80% of the total warming trends.
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      Trend of Surface Air Temperature in Eastern China and Associated Large-Scale Climate Variability over the Last 100 Years

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    contributor authorZhao, Ping
    contributor authorJones, Phil
    contributor authorCao, Lijuan
    contributor authorYan, Zhongwei
    contributor authorZha, Shuyao
    contributor authorZhu, Yani
    contributor authorYu, Yu
    contributor authorTang, Guoli
    date accessioned2017-06-09T17:08:58Z
    date available2017-06-09T17:08:58Z
    date copyright2014/06/01
    date issued2014
    identifier issn0894-8755
    identifier otherams-80157.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4223018
    description abstractsing the reconstructed continuous and homogenized surface air temperature (SAT) series for 16 cities across eastern China (where the greatest industrial developments in China have taken place) back to the nineteenth century, the authors examine linear trends of SAT. The regional-mean SAT over eastern China shows a warming trend of 1.52°C (100 yr)?1 during 1909?2010. It mainly occurred in the past 4 decades and this agrees well with the variability in another SAT series developed from a much denser station network (over 400 sites) across this part of China since 1951. This study collects population data for 245 sites (from these 400+ locations) and split these into five equally sized groups based on population size. Comparison of these five groups across different durations from 30 to 60 yr in length indicates that differences in population only account for between 9% and 24% of the warming since 1951. To show that a larger urbanization impact is very unlikely, the study additionally determines how much can be explained by some large-scale climate indices. Anomalies of large-scale climate indices such as the tropical Indian Ocean SST and the Siberian atmospheric circulation systems account for at least 80% of the total warming trends.
    publisherAmerican Meteorological Society
    titleTrend of Surface Air Temperature in Eastern China and Associated Large-Scale Climate Variability over the Last 100 Years
    typeJournal Paper
    journal volume27
    journal issue12
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-13-00397.1
    journal fristpage4693
    journal lastpage4703
    treeJournal of Climate:;2014:;volume( 027 ):;issue: 012
    contenttypeFulltext
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