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Evaluation of TROPOMI and OMI Tropospheric NO 2 Products Using Measurements from MAX-DOAS and State-Controlled Stations in the Jiangsu Province of China.

Authors :
Cai, Kun
Li, Shenshen
Lai, Jibao
Xia, Yu
Wang, Yapeng
Hu, Xuefei
Li, Ang
Source :
Atmosphere; Jun2022, Vol. 13 Issue 6, p886, 15p
Publication Year :
2022

Abstract

The tropospheric vertical column density of NO<subscript>2</subscript> (Trop NO<subscript>2</subscript> VCD) can be obtained using satellite remote sensing, but it has been discovered that the Trop NO<subscript>2</subscript> VCD is affected by uncertainties such as the cloud fraction, terrain reflectivity, and aerosol optical depth. A certain error occurs in terms of data inversion accuracy, necessitating additional ground observation verification. This study uses surface NO<subscript>2</subscript> mass concentrations from the China National Environmental Monitoring Center (CNEMC) sites in Jiangsu Province, China in 2019 and the Trop NO<subscript>2</subscript> VCD measured by MAX-DOAS, respectively, to verify the Trop NO<subscript>2</subscript> VCD product (daily and monthly average data), that comes from the TROPOspheric Monitoring Instrument (TROPOMI) and Ozone Monitoring Instrument (OMI). The results show that the spatial distributions of NO<subscript>2</subscript> in TROPOMI and OMI exhibit a similar tendency and seasonality, showing the characteristics of being high in spring and winter and low in summer and autumn. On the whole, the concentration of NO<subscript>2</subscript> in the south of Jiangsu Province is higher than that in the north. The Pearson correlation coefficient (r) between the monthly average TROPOMI VCD NO<subscript>2</subscript> and the CNEMC NO<subscript>2</subscript> mass concentration is 0.9, which is greater than the r (0.78) between OMI and CNEMC; the r (0.69) between TROPOMI and the MAX-DOAS VCD NO<subscript>2</subscript> is greater than the r (0.59) between OMI and the MAX-DOAS. As such, the TROPOMI is better than the previous generation of OMI at representing the spatio-temporal distribution of NO<subscript>2</subscript> in the regional scope. On the other hand, the uncertainties of the satellite products provided in this study can constrain regional air quality forecasting models and top-down emission inventory estimation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20734433
Volume :
13
Issue :
6
Database :
Complementary Index
Journal :
Atmosphere
Publication Type :
Academic Journal
Accession number :
157640384
Full Text :
https://doi.org/10.3390/atmos13060886