Retrieval of NO2 Columns by Exploiting MAX-DOAS Observations and Comparison with OMI and TROPOMI Data during the Time Period of 2015–2019
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 NO...
Gespeichert in:
Veröffentlicht in: | Aerosol and air quality research 2022-06, Vol.22 (6), p.210398 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 6 |
container_start_page | 210398 |
container_title | Aerosol and air quality research |
container_volume | 22 |
creator | Iqbal, Ahmad Ahmad, Naveed Mohy ud Din, Hassan Van Roozendael, Michel Anjum, Muhammad Shehzaib Zeeshan Ali Khan, Muhammad Khokhar, Muhammad Fahim |
description | 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. |
doi_str_mv | 10.4209/aaqr.210398 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2671972558</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2671972558</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2138-32648514ba1e4f2c471c0c9f242ffa3e8596698bda6fd67bd566c12305b9cd093</originalsourceid><addsrcrecordid>eNotkEFPwjAYhhujiQQ5-QeaeDTDtuu69kgAlQQcQUy8Ld3WScm2jnag3Lx79B_6S9zE7_J--fLk_ZIHgGuMhpQgcSflzg4JRr7gZ6BHUIg9TJE4Bz3MOPJ4wOklGDi3Re0wTlmIe-BrpRqr1UEW0OTwKSJwbIp9WTmYHOH0oy6MbnT1BhejV28SjZ5hlDhlD7LRpmVklbV8WUurnangu242MFrM_u7rVbTs9olsJMz2tmtpNgqudangUlltsu4lQTj4-fxuQ1yBi1wWTg3-sw9e7qfr8aM3jx5m49HcSwn2uecTRnmAaSKxojlJaYhTlIqcUJLn0lc8EIwJnmSS5RkLkyxgLMXER0Ei0gwJvw9uTr21Nbu9ck28NXtbtS9j0koRIQkC3lK3Jyq1xjmr8ri2upT2GGMUd8LjTnh8Eu7_AmpMcXQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2671972558</pqid></control><display><type>article</type><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><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Iqbal, Ahmad ; Ahmad, Naveed ; Mohy ud Din, Hassan ; Van Roozendael, Michel ; Anjum, Muhammad Shehzaib ; Zeeshan Ali Khan, Muhammad ; Khokhar, Muhammad Fahim</creator><creatorcontrib>Iqbal, Ahmad ; Ahmad, Naveed ; Mohy ud Din, Hassan ; Van Roozendael, Michel ; Anjum, Muhammad Shehzaib ; Zeeshan Ali Khan, Muhammad ; Khokhar, Muhammad Fahim</creatorcontrib><description>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.</description><identifier>ISSN: 1680-8584</identifier><identifier>EISSN: 2071-1409</identifier><identifier>DOI: 10.4209/aaqr.210398</identifier><language>eng</language><publisher>Taoyuan City: Taiwan Association of Aerosol Research</publisher><subject>Absorption spectroscopy ; Air pollution ; Atmospheric chemistry ; Error analysis ; Ground-based observation ; Nitrogen dioxide ; Pollutants ; Retrieval ; Satellite observation</subject><ispartof>Aerosol and air quality research, 2022-06, Vol.22 (6), p.210398</ispartof><rights>2022. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2138-32648514ba1e4f2c471c0c9f242ffa3e8596698bda6fd67bd566c12305b9cd093</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,27901,27902</link.rule.ids></links><search><creatorcontrib>Iqbal, Ahmad</creatorcontrib><creatorcontrib>Ahmad, Naveed</creatorcontrib><creatorcontrib>Mohy ud Din, Hassan</creatorcontrib><creatorcontrib>Van Roozendael, Michel</creatorcontrib><creatorcontrib>Anjum, Muhammad Shehzaib</creatorcontrib><creatorcontrib>Zeeshan Ali Khan, Muhammad</creatorcontrib><creatorcontrib>Khokhar, Muhammad Fahim</creatorcontrib><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><title>Aerosol and air quality research</title><description>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.</description><subject>Absorption spectroscopy</subject><subject>Air pollution</subject><subject>Atmospheric chemistry</subject><subject>Error analysis</subject><subject>Ground-based observation</subject><subject>Nitrogen dioxide</subject><subject>Pollutants</subject><subject>Retrieval</subject><subject>Satellite observation</subject><issn>1680-8584</issn><issn>2071-1409</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNotkEFPwjAYhhujiQQ5-QeaeDTDtuu69kgAlQQcQUy8Ld3WScm2jnag3Lx79B_6S9zE7_J--fLk_ZIHgGuMhpQgcSflzg4JRr7gZ6BHUIg9TJE4Bz3MOPJ4wOklGDi3Re0wTlmIe-BrpRqr1UEW0OTwKSJwbIp9WTmYHOH0oy6MbnT1BhejV28SjZ5hlDhlD7LRpmVklbV8WUurnangu242MFrM_u7rVbTs9olsJMz2tmtpNgqudangUlltsu4lQTj4-fxuQ1yBi1wWTg3-sw9e7qfr8aM3jx5m49HcSwn2uecTRnmAaSKxojlJaYhTlIqcUJLn0lc8EIwJnmSS5RkLkyxgLMXER0Ei0gwJvw9uTr21Nbu9ck28NXtbtS9j0koRIQkC3lK3Jyq1xjmr8ri2upT2GGMUd8LjTnh8Eu7_AmpMcXQ</recordid><startdate>20220601</startdate><enddate>20220601</enddate><creator>Iqbal, Ahmad</creator><creator>Ahmad, Naveed</creator><creator>Mohy ud Din, Hassan</creator><creator>Van Roozendael, Michel</creator><creator>Anjum, Muhammad Shehzaib</creator><creator>Zeeshan Ali Khan, Muhammad</creator><creator>Khokhar, Muhammad Fahim</creator><general>Taiwan Association of Aerosol Research</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope></search><sort><creationdate>20220601</creationdate><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><author>Iqbal, Ahmad ; Ahmad, Naveed ; Mohy ud Din, Hassan ; Van Roozendael, Michel ; Anjum, Muhammad Shehzaib ; Zeeshan Ali Khan, Muhammad ; Khokhar, Muhammad Fahim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2138-32648514ba1e4f2c471c0c9f242ffa3e8596698bda6fd67bd566c12305b9cd093</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Absorption spectroscopy</topic><topic>Air pollution</topic><topic>Atmospheric chemistry</topic><topic>Error analysis</topic><topic>Ground-based observation</topic><topic>Nitrogen dioxide</topic><topic>Pollutants</topic><topic>Retrieval</topic><topic>Satellite observation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Iqbal, Ahmad</creatorcontrib><creatorcontrib>Ahmad, Naveed</creatorcontrib><creatorcontrib>Mohy ud Din, Hassan</creatorcontrib><creatorcontrib>Van Roozendael, Michel</creatorcontrib><creatorcontrib>Anjum, Muhammad Shehzaib</creatorcontrib><creatorcontrib>Zeeshan Ali Khan, Muhammad</creatorcontrib><creatorcontrib>Khokhar, Muhammad Fahim</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><jtitle>Aerosol and air quality research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Iqbal, Ahmad</au><au>Ahmad, Naveed</au><au>Mohy ud Din, Hassan</au><au>Van Roozendael, Michel</au><au>Anjum, Muhammad Shehzaib</au><au>Zeeshan Ali Khan, Muhammad</au><au>Khokhar, Muhammad Fahim</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Retrieval of NO2 Columns by Exploiting MAX-DOAS Observations and Comparison with OMI and TROPOMI Data during the Time Period of 2015–2019</atitle><jtitle>Aerosol and air quality research</jtitle><date>2022-06-01</date><risdate>2022</risdate><volume>22</volume><issue>6</issue><spage>210398</spage><pages>210398-</pages><issn>1680-8584</issn><eissn>2071-1409</eissn><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.</abstract><cop>Taoyuan City</cop><pub>Taiwan Association of Aerosol Research</pub><doi>10.4209/aaqr.210398</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1680-8584 |
ispartof | Aerosol and air quality research, 2022-06, Vol.22 (6), p.210398 |
issn | 1680-8584 2071-1409 |
language | eng |
recordid | cdi_proquest_journals_2671972558 |
source | DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals |
subjects | Absorption spectroscopy Air pollution Atmospheric chemistry Error analysis Ground-based observation Nitrogen dioxide Pollutants Retrieval Satellite observation |
title | Retrieval of NO2 Columns by Exploiting MAX-DOAS Observations and Comparison with OMI and TROPOMI Data during the Time Period of 2015–2019 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T23%3A46%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Retrieval%20of%20NO2%20Columns%20by%20Exploiting%20MAX-DOAS%20Observations%20and%20Comparison%20with%20OMI%20and%20TROPOMI%20Data%20during%20the%20Time%20Period%20of%202015%E2%80%932019&rft.jtitle=Aerosol%20and%20air%20quality%20research&rft.au=Iqbal,%20Ahmad&rft.date=2022-06-01&rft.volume=22&rft.issue=6&rft.spage=210398&rft.pages=210398-&rft.issn=1680-8584&rft.eissn=2071-1409&rft_id=info:doi/10.4209/aaqr.210398&rft_dat=%3Cproquest_cross%3E2671972558%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2671972558&rft_id=info:pmid/&rfr_iscdi=true |