The Fundamental Aerosol Models Over China Region: A Cluster Analysis of the Ground-Based Remote Sensing Measurements of Total Columnar Atmosphere

Zhengqiang Li , Ying Zhang , Hua Xu , Kaitao Li , Oleg Dubovik (1) , Philippe Goloub (1)

1 LOA - Laboratoire d’Optique Atmosphérique - UMR 8518

Ten fundamental aerosol models in China are derived from a cluster study based on the ground-based remote sensing measurements of Sun-sky radiometer Observation NETwork. The aerosol size distribution decomposition techniques are employed to yield individual fine and coarse mode size distribution functions with independent refractive indices. The total 10,773 records containing 18 kinds of aerosol microphysical parameters are used to yield 10 typical clusters with the verification of clustering robustness. Ten clusters suggest five typical fine particle aerosol models including urban polluted, secondary polluted, combined polluted, polluted fly ash, and continental background, as well as five coarse models including summer fly ash, winter fly ash, primary dust, transported dust, and background dust over China region. The representativeness and coappearance analyses again reveal five dominative aerosol patterns on the base of fundamental models. These models can be used in the chemical model simulation, satellite remote sensing, climate, and environment analyses.

Keywords: Aerosol model; fine mode; coarse mode; typical characterization; China region

Domains: Sciences of the Universe [physics]

Zhengqiang Li, Ying Zhang, Hua Xu, Kaitao Li, Oleg Dubovik, et al.. The Fundamental Aerosol Models Over China Region: A Cluster Analysis of the Ground-Based Remote Sensing Measurements of Total Columnar Atmosphere. Geophysical Research Letters, 2019, 46, pp.4924-4932. ⟨10.1029/2019GL082056⟩. ⟨insu-03686277⟩