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Numerical simulation of climate response to ultraviolet irradiation forcing

机译:紫外线辐射强迫气候响应的数值模拟

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摘要

Using the Whole Atmosphere Community Climate Model, sensitivity experiments are performed to identify the climate response to ultra violet (UV) irradiation forcing. In the experiment, total solar irradiance (TSI) and solar spectral irradiation (SSI) are adopted as solar input from the dataset (1610 2009) reconstructed by Lean. Results show that UV variability has a strong impact on the middle atmosphere. Ozone (0 3) distribution in the atmosphere is sensitive to UV irradiation variability. When UV irradiation is enhanced, the 0 3 content increases at altitudes from 30 km to 60 km and decreases at altitudes from 15 km to 30 km. The atmospheric temperature appears positive anomaly below the mesosphere. Anomalous warmth develops above 35 km with maximum warming anomaly apparent at the stratopause, consistent with the at mospheric distribution of 0 3, which indicates that the ozone heating mechanism plays an important role in wanning. The 0 3 and temperature respond in an opposite manner when the UV irradiation is reduced. Furthermore, the stronger UV forcing leads to a change in the temperature distribution because of the 0 3 heating mechanism. This condition then modulates the zonal wind in the stratosphere and upper troposphere. Although the tropospheric response is weak on a global scale, a notable local response occurs over mid high latitudes in the Northern Hemisphere (NH) during winter. Along with the enhanced zonal wind in the lower stratosphere near the North Pole, the positive phase of the Arctic Oscillation pattern appears over the NH, which causes a temperature increase over mid-latitude Asia. Finally, the behavior evident in the reanalysis data is compared with the results of the numerical experiments. The similar structure of the response fields means the results of simulation experiment is credible to some extent.

著录项

  • 来源
    《气候变化研究进展(英文版)》 |2019年第3期|133-142|共10页
  • 作者

    XIAO Zi-Niu; DONG Shi; ZHONG Qi;

  • 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;

    China Meteorological Administration Training Centre China Meteorological Administration Beijing 100081 China;

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