Publications

Pilahome, O; Nissawan, W; Jankondee, Y; Masiri, I; Kumharn, W (2023). Variations in aerosols and aerosols-cloud interactions in Bangkok using MODIS satellite data during high PM2.5 concentrations. ADVANCES IN SPACE RESEARCH, 71(8), 3166-3174.

Abstract
The relationships between particulate matter with aerodynamic diameters less than 2.5 mm (PM2.5), aerosol optical depth (AOD), and cloud parameters were investigated during high PM2.5 concentrations from 1 January 2016 to 31 December 2021 in Bangkok using satel-lite remote sensing data from Moderate Resolution Imaging Spectroradiometer (MODIS). Cloud parameters included: Cloud effective radius (CER), Cloud fraction (CF), Cloud optical depth (COD), Cloud liquid water (CLW), Cloud top pressure (CTP), and Cloud top temperature (CTT). The analysis showed a strong negative correlation between PM2.5 and CF. There was a negative correlation between CF and AOD. In addition, PM2.5 showed a negative relationship with CER. In contrast, PM2.5 showed a positive correlation with CTP and CTT. A negative correlation was detected between COD and PM2.5. During high PM2.5 concentrations, cloud parameters are significantly influenced by PM2.5 concentrations in the atmosphere. The three-month of CER, CF, CLW, COD, CTP, and CTT ranges from 16.34 lm to 37.05 lm, 0.22 to 0.86, 15.67 g/m2 to 169.80 g/m2, 1.14 to 19.06, 261.67 hPa to 991.67 hPa, and-66.26C to -22.17C, respectively. Consequently, Altostratus clouds most appear during high PM2.5 concentrations in Bangkok. The findings may help better understand Bangkok's cloud properties and atmospheric aerosols, providing more information for rainmaking during high PM2.5 concentrations. (c) 2022 COSPAR. Published by Elsevier B.V. All rights reserved.

DOI:
10.1016/j.asr.2022.12.018

ISSN:
1879-1948