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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.
- 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