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Modeling the feedback between aerosol and meteorological variables in the atmospheric boundary layer during a severe fog-haze event over the North China Plain

机译:在北方北方平原的严重雾霾事件中建模气雾与气象变量的反馈

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摘要

The feedback between aerosol and meteorological variables in the atmospheric boundary layer over the North China Plain (NCP) is analyzed by conducting numerical experiments with and without the aerosol direct and indirect effects via a coupled meteorology and aerosol/chemistry model (WRF-Chem). The numerical experiments are performed for the period of 2-26 January 2013, during which a severe fog-haze event (10-15 January 2013) occurred, with the simulated maximum hourly surface PM_(2.5) concentration of ~600 ug m~(-3), minimum atmospheric visibility of ~0.3 km, and 10-100 hours of simulated hourly surface PM_(2.5) concentration above 300 ugm~(-3) over NCP. A comparison of model results with aerosol feedback against observations indicates that the model can reproduce the spatial and temporal characteristics of temperature, relative humidity (RH), wind, surface PM_(2.5) concentration, atmospheric visibility, and aerosol optical depth reasonably well. Analysis of model results with and without aerosol feedback shows that during the fog-haze event aerosols lead to a significant negative radiative forcing of -20 to -140Wm~(-2) at the surface and a large positive radiative forcing of 20-120Wm~(-2) in the atmosphere and induce significant changes in meteorological variables with maximum changes during 09:00-18:00 local time (LT) over urban Beijing and Tianjin and south Hebei: the temperature decreases by 0.8-2.8 °C at the surface and increases by 0.1-0.5 °C at around 925 hPa, while RH increases by about 4-12% at the surface and decreases by 1-6% at around 925 hPa. As a result, the aerosol-induced equivalent potential temperature profile change shows that the atmosphere is much more stable and thus the surface wind speed decreases by up to 0.3ms~(-1) (10 %) and the atmosphere boundary layer height decreases by 40-200m (5-30 %) during the daytime of this severe fog-haze event. Owing to this more stable atmosphere during 09:00-18:00, 10-15 January, compared to the surface P
机译:通过通过耦合气象和气溶胶/化学模型(WRF-Chem)进行数值实验,通过用耦合气象和气溶胶/化学模型(WRF-Chem)进行数值实验,通过用气溶胶直接和间接影响来分析气溶胶和气象变量的反馈。数值实验是在2013年1月2日至26日的时间内进行的,在此期间发生严重的雾霾事件(2013年1月10日至15日),具有模拟的最大小时表面PM_(2.5)浓度〜600 ug m〜( -3),最小大气可见度〜0.3 km,和10-100小时的模拟每小时表面PM_(2.5)浓度超过300ugm〜(-3)上NCP。使用气溶胶反馈的模型结果对观测的比较表明,该模型可以合理地再现温度,相对湿度(RH),风,表面PM_(2.5)浓度,大气可视性和气溶胶光学深度的空间和时间特征。在没有气溶胶反馈的情况下分析模型结果表明,在雾霾活动期间,气溶胶导致表面的显着负辐射强制 - 220至-140wm〜(-2),并且大的阳性辐射强制为20-120wm〜 (-2)在大气中,在北京城市城市和天津和南河北省的当地时间(LT)时,最大变化的气象变量发生重大变化:温度降低0.8-2.8°C表面并在925 HPA约为0.1-0.5℃的表面上增加,而RH在表面的速度增加约4-12%,大约925 HPA在左右减少1-6%。结果,气溶胶诱导的等效电位温度曲线变化表明,气氛更稳定,因此表面风速降低至0.3ms〜(-1)(10%),大气边界层高度减小在这种严重的雾霾活动的白天40-200米(5-30%)。由于这个更稳定的氛围,1月10日至15日至15日至18日(1月10日至15日),与表面p相比

著录项

  • 来源
    《Atmospheric chemistry and physics》 |2015年第1期|共17页
  • 作者单位

    State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC) Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China;

    State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC) Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China;

    State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC) Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China;

    State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC) Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China;

    Key Laboratory of Middle Atmosphere and Global Environment Observation (LAGEO) Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China;

    Key Laboratory of Middle Atmosphere and Global Environment Observation (LAGEO) Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China;

    State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Beijing China;

    Shanxi Province Institute of Meteorological Sciences Taiyuan China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 大气科学(气象学);
  • 关键词

    Modeling; feedback; meteorological;

    机译:建模;反馈;气象;

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