Simulations of LGM climate of East Asia by regional climate model

被引:0
|
作者
郑益群
于革
王苏民
薛滨
刘华强
曾新民
机构
[1] PLA University of Science and Technology
[2] Institute of Meteorology
[3] China
[4] PLA University of Science and Technology Nanjing 210008
[5] Nanjing Institute of Geography and Limnology
[6] Nanjing 211101
[7] Chinese Academy of Sciences
[8] China Institute of Meteorology
关键词
LGM; regional climate modelling; vegetation changes; East Asian monsoon;
D O I
暂无
中图分类号
P532 [古气候学];
学科分类号
070903 ;
摘要
Climate conditions in the Last Glacial Maximum (LGM) were remarkably different from the present ones. Adopting a regional climate model (RCM) which has included a detailed land surface scheme, LGM climate of East Asia has been simulated. The effects of vegetation changes on LGM climate have been diagnosed by adding forces of LGM paleovegetation reconstructed from the geological records. The results of the simulations by RCM indicate that large decreases in whole year temperature of East Asia continent caused strongly enhanced winter monsoon and weakened summer monsoon. The strengthening and westward-stretching of the Subtropical High of West-Pacific are the key reasons of decreases of LGM summer precipitation in eastern China. Precipitation and effective precipitation were increased in the Tibetan Plateau and Middle-Asia, while the humid condition in the Tibetan Plateau was mainly caused by increase of precipitation. Accumulated snow of LGM was also increased in the Tibetan Plateau, which was helpful to developing glacier and permafrost. This experiment has simulated that the frozen soil areas extend southward to 30°N. In LGM climate simulation, climate effects caused by external forces were amplified by added paleovegetation, therefore, decreases of temperature, changes of precipitation and snowfall, and other climatic parameters were further strengthened, making the simulation results more approach to geological evidences.
引用
收藏
页码:753 / 764
页数:12
相关论文
共 50 条
  • [31] Sensitivity of seasonal precipitation extremes to model configuration of the Canadian Regional Climate Model over eastern Canada using historical simulations
    Roy, Philippe
    Gachon, Philippe
    Laprise, Rene
    CLIMATE DYNAMICS, 2014, 43 (9-10) : 2431 - 2453
  • [32] A newly developed APCC SCoPS and its prediction of East Asia seasonal climate variability
    Suryun Ham
    A-Young Lim
    Suchul Kang
    Hyein Jeong
    Yeomin Jeong
    Climate Dynamics, 2019, 52 : 6391 - 6410
  • [33] Future Climate Projection over East Asia Using ECHO-G/S
    Cha, Yu-Mi
    Lee, Hyo-Shin
    Moon, JaYeon
    Kwon, Won-Tae
    Boo, Kyoung-On
    ATMOSPHERE-KOREA, 2007, 17 (01): : 55 - 68
  • [34] A newly developed APCC SCoPS and its prediction of East Asia seasonal climate variability
    Ham, Suryun
    Lim, A-Young
    Kang, Suchul
    Jeong, Hyein
    Jeong, Yeomin
    CLIMATE DYNAMICS, 2019, 52 (11) : 6391 - 6410
  • [35] Model skill measures in probabilistic regional climate projections for Ireland
    Foley, Aideen
    Fealy, Rowan
    Sweeney, John
    CLIMATE RESEARCH, 2013, 56 (01) : 33 - 49
  • [36] Model migrations: mobility and boundary crossings in regional climate prediction
    Mahony, Martin
    Hulme, Mike
    TRANSACTIONS OF THE INSTITUTE OF BRITISH GEOGRAPHERS, 2012, 37 (02) : 197 - 211
  • [37] Snow Cover Assessment with Regional Climate Model - Problems and Results
    Chervenkov, Hristo
    Todorov, Todor
    Slavov, Kiril
    LARGE-SCALE SCIENTIFIC COMPUTING, LSSC 2015, 2015, 9374 : 327 - 334
  • [38] Evaluation of moisture sources for the Central European summer flood of May/June 2013 based on regional climate model simulations
    Kelemen, Fanni D.
    Ludwig, Patrick
    Reyers, Mark
    Ulbrich, Sven
    Pinto, Joaquim G.
    TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY, 2016, 68
  • [39] Climate change and the Portuguese precipitation: ENSEMBLES regional climate models results
    Pedro M. M. Soares
    Rita M. Cardoso
    João Jacinto Ferreira
    Pedro M. A. Miranda
    Climate Dynamics, 2015, 45 : 1771 - 1787
  • [40] Climate change and the Portuguese precipitation: ENSEMBLES regional climate models results
    Soares, Pedro M. M.
    Cardoso, Rita M.
    Ferreira, Joo Jacinto
    Miranda, Pedro M. A.
    CLIMATE DYNAMICS, 2015, 45 (7-8) : 1771 - 1787