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Volume 22 Issue 2

Mar.  2005

Article Contents
Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2005 >  22(2): 159-171

Climate Change Signal Analysis for Northeast Asian Surface Temperature

  • 1.

    Division of Management Information Science, Dong-A University, Busan 604-714,Department of Data Science, Inje University, Kimhae 621-749,Department of Statistics, Pusan National University, Busan 609-735,Climate Research Laboratory, Meteorological Research Institute, Korean Meteorological Administration, Seoul 156-720,Climate Research Laboratory, Meteorological Research Institute, Korean Meteorological Administration, Seoul 156-720;Meteorological Institute of the University of Bonn, Germany


doi: 10.1007/BF02918506

  • Climate change detection, attribution, and prediction were studied for the surface temperature in the Northeast Asian region using NCEP/NCAR reanalysis data and three coupled-model simulations from ECHAM4/OPYC3, HadCM3, and CCCma GCMs (Canadian Centre for Climate Modeling and Analysis general circulation model). The Bayesian fingerprint approach was used to perform the detection and attribution test for the anthropogenic climate change signal associated with changes in anthropogenic carbon dioxide (CO2) and sulfate aerosol (SO42-) concentrations for the Northeast Asian temperature. It was shown that there was a weak anthropogenic climate change signal in the Northeast Asian temperature change. The relative contribution of CO2 and SOl- effects to total temperature change in Northeast Asia was quantified from ECHAM4/OPYC3 and CCCma GCM simulations using analysis of variance. For the observed temperature change for the period of 1959-1998, the CO2 effect contributed 10%-21% of the total variance and the direct cooling effect of SO42- played a less important role (0% 7%) than the CO2effect. The prediction of surface temperature change was estimated from the second CO2+SO24- scenario run of ECHAM4/OPYC3 which has the least error in the simulation of the present-day temperature field near the Korean Peninsula. The result shows that the area-mean surface temperature near the Korean Peninsula will increase by about 1.1° by the 2040s relative to the 1990s.
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    • Manuscript History

    Manuscript received: 10 March 2005
    Manuscript revised: 10 March 2005
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

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    Climate Change Signal Analysis for Northeast Asian Surface Temperature

    • 1. Division of Management Information Science, Dong-A University, Busan 604-714,Department of Data Science, Inje University, Kimhae 621-749,Department of Statistics, Pusan National University, Busan 609-735,Climate Research Laboratory, Meteorological Research Institute, Korean Meteorological Administration, Seoul 156-720,Climate Research Laboratory, Meteorological Research Institute, Korean Meteorological Administration, Seoul 156-720;Meteorological Institute of the University of Bonn, Germany
    • Manuscript received: 2005-03-10
    • Manuscript revised: 2005-03-10

    Abstract: Climate change detection, attribution, and prediction were studied for the surface temperature in the Northeast Asian region using NCEP/NCAR reanalysis data and three coupled-model simulations from ECHAM4/OPYC3, HadCM3, and CCCma GCMs (Canadian Centre for Climate Modeling and Analysis general circulation model). The Bayesian fingerprint approach was used to perform the detection and attribution test for the anthropogenic climate change signal associated with changes in anthropogenic carbon dioxide (CO2) and sulfate aerosol (SO42-) concentrations for the Northeast Asian temperature. It was shown that there was a weak anthropogenic climate change signal in the Northeast Asian temperature change. The relative contribution of CO2 and SOl- effects to total temperature change in Northeast Asia was quantified from ECHAM4/OPYC3 and CCCma GCM simulations using analysis of variance. For the observed temperature change for the period of 1959-1998, the CO2 effect contributed 10%-21% of the total variance and the direct cooling effect of SO42- played a less important role (0% 7%) than the CO2effect. The prediction of surface temperature change was estimated from the second CO2+SO24- scenario run of ECHAM4/OPYC3 which has the least error in the simulation of the present-day temperature field near the Korean Peninsula. The result shows that the area-mean surface temperature near the Korean Peninsula will increase by about 1.1° by the 2040s relative to the 1990s.

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