中国气象学会气象青年科技交流会暨2022年青年科学家论坛

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.
 

hail,predictability,aerosol