Retrieval of NO2 Columns by Exploiting MAX-DOAS Observations and Comparison with OMI and TROPOMI Data during the Time Period of 2015–2019
Abstract Nitrogen dioxide (NO2)—a criteria major air pollutant, is of paramount importance due to its role in atmospheric chemistry and tropospheric ozone formation. Exposure to high concentrations of NO2 has been reported to cause various health issues in humans. This study presents an intercompari...
Saved in:
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2022-05-01
|
Series: | Aerosol and Air Quality Research |
Subjects: | |
Online Access: | https://doi.org/10.4209/aaqr.210398 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1825197567178178560 |
---|---|
author | Ahmad Iqbal Naveed Ahmad Hassan Mohy ud Din Michel Van Roozendael Muhammad Shehzaib Anjum Muhammad Zeeshan Ali Khan Muhammad Fahim Khokhar |
author_facet | Ahmad Iqbal Naveed Ahmad Hassan Mohy ud Din Michel Van Roozendael Muhammad Shehzaib Anjum Muhammad Zeeshan Ali Khan Muhammad Fahim Khokhar |
author_sort | Ahmad Iqbal |
collection | DOAJ |
description | Abstract Nitrogen dioxide (NO2)—a criteria major air pollutant, is of paramount importance due to its role in atmospheric chemistry and tropospheric ozone formation. Exposure to high concentrations of NO2 has been reported to cause various health issues in humans. This study presents an intercomparison of NO2 retrieval settings using the Differential Optical Absorption Spectroscopy (DOAS) and based on the literature published over the last 20 years. Comparison between results of various settings, as reported in the literature, and settings used for this study show a good correlation with R2 > 0.97. This paper also presents validation of satellite observation through ground-based MAX-DOAS measurements from September 2015 to September 2019. Daily MAX-DOAS measurements have shown a strong positive correlation of 70.75% and 77.74% with OMI and TROPOMI, respectively. The average monthly correlation for OMI and TROPOMI with MAX-DOAS is 88.39% and 91.91% respectively. The comparison of the slopes of regression plots for daily and monthly datasets of OMI and TROPOMI vs. MAX-DOAS reveals that TROPOMI data is more synonymous to MAX-DOAS than OMI data. The error analysis indicates that for TROPOMI measurements calculated biases are significantly improved in case of TROPOMI as compared to OMI measurements. It is pertinent to mention that TROPOMI measurements can capture the local NO2 pollution much better than OMI and its predecessor instruments like GOME-2, SCIAMACHY and GOME. Seasonal trends of NO2 column densities have shown a peak in the winter season (November–January) while lowest NO2 column density is recorded in monsoon season. |
format | Article |
id | doaj-art-1744c305176a4f7c90a8a3c1d18c78c3 |
institution | Kabale University |
issn | 1680-8584 2071-1409 |
language | English |
publishDate | 2022-05-01 |
publisher | Springer |
record_format | Article |
series | Aerosol and Air Quality Research |
spelling | doaj-art-1744c305176a4f7c90a8a3c1d18c78c32025-02-09T12:17:18ZengSpringerAerosol and Air Quality Research1680-85842071-14092022-05-0122612010.4209/aaqr.210398Retrieval of NO2 Columns by Exploiting MAX-DOAS Observations and Comparison with OMI and TROPOMI Data during the Time Period of 2015–2019Ahmad Iqbal0Naveed Ahmad1Hassan Mohy ud Din2Michel Van Roozendael3Muhammad Shehzaib Anjum4Muhammad Zeeshan Ali Khan5Muhammad Fahim Khokhar6Institute of Environmental Science and Engineering (IESE), National University of Science and Technology (NUST)Institute of Environmental Science and Engineering (IESE), National University of Science and Technology (NUST)Institute of Environmental Science and Engineering (IESE), National University of Science and Technology (NUST)Royal Belgian Institute for Space Aeronomy (B)Institute of Environmental Science and Engineering (IESE), National University of Science and Technology (NUST)Institute of Environmental Science and Engineering (IESE), National University of Science and Technology (NUST)Institute of Environmental Science and Engineering (IESE), National University of Science and Technology (NUST)Abstract Nitrogen dioxide (NO2)—a criteria major air pollutant, is of paramount importance due to its role in atmospheric chemistry and tropospheric ozone formation. Exposure to high concentrations of NO2 has been reported to cause various health issues in humans. This study presents an intercomparison of NO2 retrieval settings using the Differential Optical Absorption Spectroscopy (DOAS) and based on the literature published over the last 20 years. Comparison between results of various settings, as reported in the literature, and settings used for this study show a good correlation with R2 > 0.97. This paper also presents validation of satellite observation through ground-based MAX-DOAS measurements from September 2015 to September 2019. Daily MAX-DOAS measurements have shown a strong positive correlation of 70.75% and 77.74% with OMI and TROPOMI, respectively. The average monthly correlation for OMI and TROPOMI with MAX-DOAS is 88.39% and 91.91% respectively. The comparison of the slopes of regression plots for daily and monthly datasets of OMI and TROPOMI vs. MAX-DOAS reveals that TROPOMI data is more synonymous to MAX-DOAS than OMI data. The error analysis indicates that for TROPOMI measurements calculated biases are significantly improved in case of TROPOMI as compared to OMI measurements. It is pertinent to mention that TROPOMI measurements can capture the local NO2 pollution much better than OMI and its predecessor instruments like GOME-2, SCIAMACHY and GOME. Seasonal trends of NO2 column densities have shown a peak in the winter season (November–January) while lowest NO2 column density is recorded in monsoon season.https://doi.org/10.4209/aaqr.210398NO2 retrieval settingsDOAS AlgorithmSatellite observationsValidations |
spellingShingle | Ahmad Iqbal Naveed Ahmad Hassan Mohy ud Din Michel Van Roozendael Muhammad Shehzaib Anjum Muhammad Zeeshan Ali Khan Muhammad Fahim Khokhar Retrieval of NO2 Columns by Exploiting MAX-DOAS Observations and Comparison with OMI and TROPOMI Data during the Time Period of 2015–2019 Aerosol and Air Quality Research NO2 retrieval settings DOAS Algorithm Satellite observations Validations |
title | Retrieval of NO2 Columns by Exploiting MAX-DOAS Observations and Comparison with OMI and TROPOMI Data during the Time Period of 2015–2019 |
title_full | Retrieval of NO2 Columns by Exploiting MAX-DOAS Observations and Comparison with OMI and TROPOMI Data during the Time Period of 2015–2019 |
title_fullStr | Retrieval of NO2 Columns by Exploiting MAX-DOAS Observations and Comparison with OMI and TROPOMI Data during the Time Period of 2015–2019 |
title_full_unstemmed | Retrieval of NO2 Columns by Exploiting MAX-DOAS Observations and Comparison with OMI and TROPOMI Data during the Time Period of 2015–2019 |
title_short | Retrieval of NO2 Columns by Exploiting MAX-DOAS Observations and Comparison with OMI and TROPOMI Data during the Time Period of 2015–2019 |
title_sort | retrieval of no2 columns by exploiting max doas observations and comparison with omi and tropomi data during the time period of 2015 2019 |
topic | NO2 retrieval settings DOAS Algorithm Satellite observations Validations |
url | https://doi.org/10.4209/aaqr.210398 |
work_keys_str_mv | AT ahmadiqbal retrievalofno2columnsbyexploitingmaxdoasobservationsandcomparisonwithomiandtropomidataduringthetimeperiodof20152019 AT naveedahmad retrievalofno2columnsbyexploitingmaxdoasobservationsandcomparisonwithomiandtropomidataduringthetimeperiodof20152019 AT hassanmohyuddin retrievalofno2columnsbyexploitingmaxdoasobservationsandcomparisonwithomiandtropomidataduringthetimeperiodof20152019 AT michelvanroozendael retrievalofno2columnsbyexploitingmaxdoasobservationsandcomparisonwithomiandtropomidataduringthetimeperiodof20152019 AT muhammadshehzaibanjum retrievalofno2columnsbyexploitingmaxdoasobservationsandcomparisonwithomiandtropomidataduringthetimeperiodof20152019 AT muhammadzeeshanalikhan retrievalofno2columnsbyexploitingmaxdoasobservationsandcomparisonwithomiandtropomidataduringthetimeperiodof20152019 AT muhammadfahimkhokhar retrievalofno2columnsbyexploitingmaxdoasobservationsandcomparisonwithomiandtropomidataduringthetimeperiodof20152019 |