Vertical profiles of cloud condensation nuclei number concentration and its empirical estimate from aerosol optical properties over the North China Plain
Rui Zhang,Yuying Wang,Zhanqing Li,Zhibin Wang,Russell R. Dickerson,Xinrong Ren,Hao He,Fei Wang,Ying Gao,Xi Chen,Jialu Xu,Yafang Cheng,and Hang Su
Rui Zhang
Key Laboratory for Aerosol–Cloud Precipitation of China
Meteorological Administration, School of Atmospheric Physics, Nanjing
University of Information Science & Technology, Nanjing 210044, China
Key Laboratory for Aerosol–Cloud Precipitation of China
Meteorological Administration, School of Atmospheric Physics, Nanjing
University of Information Science & Technology, Nanjing 210044, China
Department of Atmospheric and Oceanic Science, University of
Maryland, College Park, Maryland 20740, USA
Fei Wang
Key Laboratory for Cloud Physics, Chinese Academy of Meteorological
Sciences, Beijing 100081, China
Ying Gao
School of Atmospheric Sciences, Nanjing University, Nanjing 210008,
China
Xi Chen
Key Laboratory for Aerosol–Cloud Precipitation of China
Meteorological Administration, School of Atmospheric Physics, Nanjing
University of Information Science & Technology, Nanjing 210044, China
Jialu Xu
Key Laboratory for Aerosol–Cloud Precipitation of China
Meteorological Administration, School of Atmospheric Physics, Nanjing
University of Information Science & Technology, Nanjing 210044, China
Factors of cloud condensation nuclei number concentration (NCCN) profiles determined in the North China Plain include air mass sources, temperature structure, anthropogenic emissions, and terrain distribution. Cloud condensation nuclei (CCN) spectra suggest that the ability of aerosol activation into CCN is stronger in southeasterly than in northwesterly air masses and stronger in the free atmosphere than near the surface. A good method to parameterize NCCN from aerosol optical data is found.
Factors of cloud condensation nuclei number concentration (NCCN) profiles determined in the...
