65 / 2021-07-14 18:15:00
Notable Contributions of Aerosols to the Predictability of Hail Precipitation
aerosol,hail,predictability,uncertainty
摘要录用
李潇斐 / 西北大学;西安气象科技研究院
There are increasing concerns about the uncertainty aerosols produced in forecasting precipitation, particularly hail. This study provides an assessment of contribution of aerosols to hail predictability by varying both the initial cloud condensation nuclei concentration (CCNC) and the initial meteorological conditions based on ensemble runs of 1200 cloud‐resolving simulations. Although meteorological perturbations produce large uncertainties in both hail and total precipitation, varying CCNC by an order of magnitude causes even larger uncertainties than the corresponding meteorological perturbations. Changing CCNC modifies the predictability of hail precipitation, with higher predictability in moderately polluted environments compared with very clean and polluted environments. Perturbing the initial meteorological conditions does not qualitatively change how aerosols affect hail and total precipitation. Constraining the initial meteorological perturbations helps reduce CCNC-caused uncertainty. These findings suggest the importance of considering aerosol effects in severe weather simulations and forecasting.

 
重要日期
  • 会议日期

    11月06日

    2021

    11月07日

    2021

  • 10月16日 2021

    初稿截稿日期

  • 11月25日 2021

    注册截止日期

  • 12月07日 2021

    报告提交截止日期

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