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Evolution of Surface Sensible Heat over the Tibetan Plateau Under the Recent Global Warming Hiatus

机译:近期全球变暖中断下青藏高原表面感热的演变

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摘要

Based on regular surface meteorological observations and NCEP/DOE reanalysis data,this study investigates the evolution of surface sensible heat (SH) over the central and eastern Tibetan Plateau (CE-TP) under the recent global warming hiatus.The results reveal that the SH over the CE-TP presents a recovery since the slowdown of the global warming.The restored surface wind speed together with increased difference in ground-air temperature contribute to the recovery in SH.During the global warming hiatus,the persistent weakening wind speed is alleviated due to the variation of the meridional temperature gradient.Meanwhile,the ground surface temperature and the difference in ground-air temperature show a significant increasing trend in that period caused by the increased total cloud amount,especially at night.At nighttime,the increased total cloud cover reduces the surface effective radiation via a strengthening of atmospheric counter radiation and subsequently brings about a clear upward trend in ground surface temperature and the difference in ground-air temperature.Cloud-radiation feedback plays a significant role in the evolution of the surface temperature and even SH during the global warming hiatus.Consequently,besides the surface wind speed,the difference in ground-air temperature becomes another significant factor for the variation in SH since the slowdown of global warming,particularly at night.
机译:基于常规的地面气象观测和NCEP / DOE再分析数据,本研究调查了最近全球变暖中断下青藏高原中部和东部(CE-TP)的表面显热(SH)的演变。自全球变暖放缓以来,CE-TP上的风速出现了恢复。地表风速的恢复以及地温差的增加促进了上海的恢复。在全球变暖中断期间,风速持续减弱的情况得到缓解。同时,由于总云量的增加,尤其是在夜间,地表温度和地面空气温度的差异呈现出明显的上升趋势。特别是在夜间。云层通过增强大气反向辐射来减少表面有效辐射,并随后带来清晰的向上在全球变暖中断期间,云辐射反馈在地表温度甚至SH的演变中起着重要作用。因此,除了地表风速外,地表温度也有差异。自全球变暖放缓以来,尤其是在夜间,气温成为影响SH变化的另一个重要因素。

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  • 来源
    《大气科学进展(英文版)》 |2017年第10期|1249-1262|共14页
  • 作者单位

    State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;

    University of Chinese Academy of Sciences, Beijing 100049, China;

    School of Atmospheric Sciences/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province/Joint Laboratory of Climate and Environment Change, Chengdu University of Information Technology, Chengdu 610225, China;

    State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;

    University of Chinese Academy of Sciences, Beijing 100049, China;

    Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China;

    Joint Center for Global Change Studies, Beijing 100875, China;

    School of Atmospheric Sciences/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province/Joint Laboratory of Climate and Environment Change, Chengdu University of Information Technology, Chengdu 610225, China;

    Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China;

    Center for Monsoon System Research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;

    State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;

    University of Chinese Academy of Sciences, Beijing 100049, China;

    School of Atmospheric Sciences/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province/Joint Laboratory of Climate and Environment Change, Chengdu University of Information Technology, Chengdu 610225, China;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
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