A Regional Aerosol Model for the Oceanic Area around Eastern China Based on Aerosol Robotic Network (AERONET)

• Published in: Remote Sensing
• Main Authors: Shunping Chen, Congming Dai, Nana Liu, Wentao Lian, Yuxuan Zhang, Fan Wu, Cong Zhang, Shengcheng Cui, Heli Wei
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2024
• Subjects: aerosol model; AERONET; sea area around eastern China; Science; Q; Aerosol Robotic Network; Cris
• Online Access: https://doi.org/10.3390/rs16061106; https://doaj.org/article/58d1719baaaa40cf99d2da2f3e737f06

A regional aerosol model can complement globally averaged models and improve the accuracy of atmospheric numerical models in local applications. This study established a seasonal aerosol model based on data from the Aerosol Robotic Network (AERONET) of the sea area around eastern China, and its performance in calculating the aerosol optical depth (AOD) was evaluated. The seasonal columnar volume particle size distributions (VPSDs) illustrated a bimodal structure consisting of fine and coarse modes. The VPSDs of spring, autumn, and winter roughly agreed with each other, with their amplitudes of fine and coarse modes being almost equal; however, the fine mode of the summer VPSD was approximately twice as high as that of the coarse mode. Lognormal mode decomposition analysis revealed that fine and coarse modes comprised two sub-modes. Fitting the seasonal VPSDs to the four-mode lognormal distribution yielded a parameterized aerosol size distribution model. Furthermore, seasonal variations in complex refractive indices (CRIs) indicated unignorable changes in aerosol compositions. Overall, error analysis validated that the proposed model could meet accuracy requirements for optical engineering applications, with median AOD calculation errors of less than 0.01.