An observational study of the effects of aerosols on diurnal variation of heavy rainfall and associated clouds over Beijing–Tianjin–Hebei
Siyuan Zhou,Jing Yang,Wei-Chyung Wang,Chuanfeng Zhao,Daoyi Gong,and Peijun Shi
Siyuan Zhou
State Key Laboratory of Earth Surface Process and Resource Ecology/Key Laboratory of Environmental Change and Natural Disaster, Faculty
of Geographical Science, Beijing Normal University, Beijing, China
Atmospheric Sciences Research Center, State University of New York,
Albany, NY 12203, USA
State Key Laboratory of Earth Surface Process and Resource Ecology/Key Laboratory of Environmental Change and Natural Disaster, Faculty
of Geographical Science, Beijing Normal University, Beijing, China
College of Global Change and Earth System Science, Beijing Normal
University, Beijing, China
Daoyi Gong
State Key Laboratory of Earth Surface Process and Resource Ecology/Key Laboratory of Environmental Change and Natural Disaster, Faculty
of Geographical Science, Beijing Normal University, Beijing, China
Peijun Shi
State Key Laboratory of Earth Surface Process and Resource Ecology/Key Laboratory of Environmental Change and Natural Disaster, Faculty
of Geographical Science, Beijing Normal University, Beijing, China
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Total article views: 4,384 (including HTML, PDF, and XML)
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Total article views: 3,424 (including HTML, PDF, and XML)
Thereof 3,263 with geography defined
and 161 with unknown origin.
Total article views: 960 (including HTML, PDF, and XML)
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Aerosol–cloud–precipitation interaction is a challenging problem in regional climate. Our study contrasted the observed diurnal variation of heavy rainfall and associated clouds over Beijing–Tianjin–Hebei between clean and polluted days during the 2002–2012 summers. We found the heavy rainfall under pollution has earlier start time, earlier peak time and longer duration, and further found the absorbing aerosols and scattering aerosols play different roles in the heavy rainfall diurnal variation.
Aerosol–cloud–precipitation interaction is a challenging problem in regional climate. Our study...
