Back to Search Start Over

Recommendations for HCHO and SO 2 Retrieval Settings from MAX-DOAS Observations under Different Meteorological Conditions.

Authors :
Javed, Zeeshan
Tanvir, Aimon
Bilal, Muhammad
Su, Wenjing
Xia, Congzi
Rehman, Abdul
Zhang, Yuanyuan
Sandhu, Osama
Xing, Chengzhi
Ji, Xiangguang
Xie, Mingjie
Liu, Cheng
Wang, Yuhang
Source :
Remote Sensing. Jun2021, Vol. 13 Issue 12, p2244. 1p.
Publication Year :
2021

Abstract

Recently, the occurrence of fog and haze over China has increased. The retrieval of trace gases from the multi-axis differential optical absorption spectroscopy (MAX-DOAS) is challenging under these conditions. In this study, various reported retrieval settings for formaldehyde (HCHO) and sulfur dioxide (SO2) are compared to evaluate the performance of these settings under different meteorological conditions (clear day, haze, and fog). The dataset from 1st December 2019 to 31st March 2020 over Nanjing, China, is used in this study. The results indicated that for HCHO, the optimal settings were in the 324.5–359 nm wavelength window with a polynomial order of five. At these settings, the fitting and root mean squared (RMS) errors for column density were considerably improved for haze and fog conditions, and the differential slant column densities (DSCDs) showed more accurate values compared to the DSCDs between 336.5 and 359 nm. For SO2, the optimal settings for retrieval were found to be at 307–328 nm with a polynomial order of five. Here, root mean square (RMS) and fitting errors were significantly lower under all conditions. The observed HCHO and SO2 vertical column densities were significantly lower on fog days compared to clear days, reflecting a decreased chemical production of HCHO and aqueous phase oxidation of SO2 in fog droplets. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20724292
Volume :
13
Issue :
12
Database :
Academic Search Index
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
151141191
Full Text :
https://doi.org/10.3390/rs13122244