Parameterization scheme for dry aerosols complex refractive index
ZHANG Zhi-cha1, NI Chang-jian1, LIU Xin-chun2, LU Hui3, BAI Ai-juan1
1. College of Atmospheric Science, Chengdu University of Information Technology, Chengdu 610225, China; 2. Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China; 3. College of Resource and Environmental Science, Guangxi Normal University, Guilin 541004, China
Abstract：By utilizing the ground-based monitored data at an hourly time step recorded by WS600 integrated weather station, AURORA-3000 integrating nephelometer, AE-31aethalometer and GRIMM180 environment particle monitors from October to December in 2017 in Chengdu, the real part (nre) and imaginary part (ni) of dry aerosol complex refractive index (DACRI) at the wavelength of 550nm were retrieved by combining immune evolution algorithm with an improved Mie scattering theory algorithm. Stepwise linear regression method was then employed to respectively develop the new parameterization schemes by investigating the correlation between the retrieved DACRI and the ratios of particle mass concentration (BC/PM1, BC/PM2.5, BC/PM10, PM1/PM2.5, PM1/PM10, and PM2.5/PM10). The correlation coefficients (R) were respectively 0.54 and 0.85 (P<0.0001) between nre and ni of DACRI calculated by the parameterization schemes and the observations, and the corresponding mean relative errors (MRE) were respectively 2.31% and 15.18%. These parameterization schemes were further applied to the simulation of the dry aerosol scattering coefficient (bsp) and absorption coefficient (bap) during an evolution of haze. The results show that correlation coefficients were respectively 0.98 and 0.91 (P<0.0001) between the simulations and the observations, and that the corresponding mean relative errors were respectively 7.43% and 14.97%.
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