Evaluating NO.sub.x emissions and their effect on O.sub.3 production in Texas using TROPOMI NO.sub.2 and HCHO
The Tropospheric Monitoring Instrument (TROPOMI) on the Sentinel-5 Precursor (S5P) satellite is a valuable source of information to monitor the NO.sub.x emissions that adversely affect air quality. We conduct a series of experiments using a 4x4 km.sup.2 Comprehensive Air Quality Model with Extension...
Saved in:
| Published in | Atmospheric chemistry and physics Vol. 22; no. 16; pp. 10875 - 21749 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Copernicus GmbH
26.08.2022
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 1680-7316 |
Cover
| Abstract | The Tropospheric Monitoring Instrument (TROPOMI) on the Sentinel-5 Precursor (S5P) satellite is a valuable source of information to monitor the NO.sub.x emissions that adversely affect air quality. We conduct a series of experiments using a 4x4 km.sup.2 Comprehensive Air Quality Model with Extensions (CAMx) simulation during April-September 2019 in eastern Texas to evaluate the multiple challenges that arise from reconciling the NO.sub.x emissions in model simulations with TROPOMI. We find an increase in NO.sub.2 (+17 % in urban areas) when transitioning from the TROPOMI NO.sub.2 version 1.3 algorithm to the version 2.3.1 algorithm in eastern Texas, with the greatest difference (+25 %) in the city centers and smaller differences (+5 %) in less polluted areas. We find that lightning NO.sub.x emissions in the model simulation contribute up to 24 % of the column NO.sub.2 in the areas over the Gulf of Mexico and 8% in Texas urban areas. NO.sub.x emissions inventories, when using locally resolved inputs, agree with NO.sub.x emissions derived from TROPOMI NO.sub.2 version 2.3.1 to within 20 % in most circumstances, with a small NO.sub.x underestimate in Dallas-Fort Worth (-13 %) and Houston (-20 %). In the vicinity of large power plant plumes (e.g., Martin Lake and Limestone) we find larger disagreements, i.e., the satellite NO.sub.2 is consistently smaller by 40 %-60 % than the modeled NO.sub.2, which incorporates measured stack emissions. We find that TROPOMI is having difficulty distinguishing NO.sub.2 attributed to power plants from the background NO.sub.2 concentrations in Texas - an area with atmospheric conditions that cause short NO.sub.2 lifetimes. Second, the NOx/NO2 ratio in the model may be underestimated due to the 4 km grid cell size. To understand ozone formation regimes in the area, we combine NO.sub.2 column information with formaldehyde (HCHO) column information. We find modest low biases in the model relative to TROPOMI HCHO, with -9 % underestimate in eastern Texas and -21 % in areas of central Texas with lower biogenic volatile organic compound (VOC) emissions. Ozone formation regimes at the time of the early afternoon overpass are NO.sub.x limited almost everywhere in the domain, except along the Houston Ship Channel, near the Dallas/Fort Worth International airport, and in the presence of undiluted power plant plumes. There are likely NO.sub.x -saturated ozone formation conditions in the early morning hours that TROPOMI cannot observe and would be well-suited for analysis with NO.sub.2 and HCHO from the upcoming TEMPO (Tropospheric Emissions: Monitoring Pollution) mission. This study highlights that TROPOMI measurements offer a valuable means to validate emissions inventories and ozone formation regimes, with important limitations. |
|---|---|
| AbstractList | The Tropospheric Monitoring Instrument (TROPOMI) on the Sentinel-5 Precursor (S5P) satellite is a valuable source of information to monitor the NO.sub.x emissions that adversely affect air quality. We conduct a series of experiments using a 4x4 km.sup.2 Comprehensive Air Quality Model with Extensions (CAMx) simulation during April-September 2019 in eastern Texas to evaluate the multiple challenges that arise from reconciling the NO.sub.x emissions in model simulations with TROPOMI. We find an increase in NO.sub.2 (+17 % in urban areas) when transitioning from the TROPOMI NO.sub.2 version 1.3 algorithm to the version 2.3.1 algorithm in eastern Texas, with the greatest difference (+25 %) in the city centers and smaller differences (+5 %) in less polluted areas. We find that lightning NO.sub.x emissions in the model simulation contribute up to 24 % of the column NO.sub.2 in the areas over the Gulf of Mexico and 8% in Texas urban areas. NO.sub.x emissions inventories, when using locally resolved inputs, agree with NO.sub.x emissions derived from TROPOMI NO.sub.2 version 2.3.1 to within 20 % in most circumstances, with a small NO.sub.x underestimate in Dallas-Fort Worth (-13 %) and Houston (-20 %). In the vicinity of large power plant plumes (e.g., Martin Lake and Limestone) we find larger disagreements, i.e., the satellite NO.sub.2 is consistently smaller by 40 %-60 % than the modeled NO.sub.2, which incorporates measured stack emissions. We find that TROPOMI is having difficulty distinguishing NO.sub.2 attributed to power plants from the background NO.sub.2 concentrations in Texas - an area with atmospheric conditions that cause short NO.sub.2 lifetimes. Second, the NOx/NO2 ratio in the model may be underestimated due to the 4 km grid cell size. To understand ozone formation regimes in the area, we combine NO.sub.2 column information with formaldehyde (HCHO) column information. We find modest low biases in the model relative to TROPOMI HCHO, with -9 % underestimate in eastern Texas and -21 % in areas of central Texas with lower biogenic volatile organic compound (VOC) emissions. Ozone formation regimes at the time of the early afternoon overpass are NO.sub.x limited almost everywhere in the domain, except along the Houston Ship Channel, near the Dallas/Fort Worth International airport, and in the presence of undiluted power plant plumes. There are likely NO.sub.x -saturated ozone formation conditions in the early morning hours that TROPOMI cannot observe and would be well-suited for analysis with NO.sub.2 and HCHO from the upcoming TEMPO (Tropospheric Emissions: Monitoring Pollution) mission. This study highlights that TROPOMI measurements offer a valuable means to validate emissions inventories and ozone formation regimes, with important limitations. |
| Audience | Academic |
| Author | de Foy, Benjamin Holloway, Tracey Judd, Laura Yarwood, Greg Johnson, Jeremiah Goldberg, Daniel L Harkey, Monica |
| Author_xml | – sequence: 1 fullname: Goldberg, Daniel L – sequence: 2 fullname: Harkey, Monica – sequence: 3 fullname: de Foy, Benjamin – sequence: 4 fullname: Judd, Laura – sequence: 5 fullname: Johnson, Jeremiah – sequence: 6 fullname: Yarwood, Greg – sequence: 7 fullname: Holloway, Tracey |
| BookMark | eNptkE1LAzEQhnOoYFv9DwFPHrZkstlN9lhKtYXqSq3nkuZjjbRZabKyP99oFSzIHAaG531g3hEa-NabARpCKUjGcygv0SiEN0JoQYAN0WH-IfedjM43-LGehG436bE5uBBc6wOWXuP4atwRG2uNirj1-ETl-P3Y6k7FxGHn8cb0MuAufIk26_qpflj-Cum3ZjFb1Ffowsp9MNc_e4xe7uab2SJb1ffL2XSVNUBAZIyWpSbEKNhpqJRmpgBVQsUZ51AxvuPU0lwA1zoHpQRnrLK00KIwymhG8zG6OXkbuTdb520bj1Klr9R2yqEgggARiZr8Q6XRqQCVerMu3c8Ct2eBxETTx0Z2IWyXz-u_7CcdlnAU |
| ContentType | Journal Article |
| Copyright | COPYRIGHT 2022 Copernicus GmbH |
| Copyright_xml | – notice: COPYRIGHT 2022 Copernicus GmbH |
| DBID | ISR |
| DatabaseName | Gale in Context: Science |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Meteorology & Climatology |
| ExternalDocumentID | A715080108 |
| GeographicLocations | Texas |
| GeographicLocations_xml | – name: Texas |
| GroupedDBID | 23N 2WC 4P2 5GY 5VS 6J9 7XC 8FE 8FG 8FH 8R4 8R5 AAFWJ ABUWG ACGFO ADBBV AENEX AEUYN AFKRA AFPKN AFRAH AHGZY AIAGR ALMA_UNASSIGNED_HOLDINGS ARAPS ATCPS BCNDV BENPR BFMQW BGLVJ BHPHI BKSAR BPHCQ CCPQU D1K E3Z EBS EDH EJD FD6 GROUPED_DOAJ GX1 H13 HCIFZ HH5 IAO IEA ISR ITC K6- KQ8 OK1 OVT P2P P62 PATMY PCBAR PHGZM PHGZT PIMPY PQGLB PQQKQ PROAC PYCSY Q2X RKB RNS TR2 XSB ~02 |
| ID | FETCH-LOGICAL-g1018-4266d00ec1bd19cd4e51c61974771947b72f23817dd31cc87449f25d85eced423 |
| ISSN | 1680-7316 |
| IngestDate | Mon Oct 20 22:02:57 EDT 2025 Mon Oct 20 16:02:00 EDT 2025 Thu Oct 16 14:22:03 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 16 |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-g1018-4266d00ec1bd19cd4e51c61974771947b72f23817dd31cc87449f25d85eced423 |
| PageCount | 10875 |
| ParticipantIDs | gale_infotracmisc_A715080108 gale_infotracacademiconefile_A715080108 gale_incontextgauss_ISR_A715080108 |
| PublicationCentury | 2000 |
| PublicationDate | 20220826 |
| PublicationDateYYYYMMDD | 2022-08-26 |
| PublicationDate_xml | – month: 08 year: 2022 text: 20220826 day: 26 |
| PublicationDecade | 2020 |
| PublicationTitle | Atmospheric chemistry and physics |
| PublicationYear | 2022 |
| Publisher | Copernicus GmbH |
| Publisher_xml | – name: Copernicus GmbH |
| SSID | ssj0025014 |
| Score | 2.3894887 |
| Snippet | The Tropospheric Monitoring Instrument (TROPOMI) on the Sentinel-5 Precursor (S5P) satellite is a valuable source of information to monitor the NO.sub.x... |
| SourceID | gale |
| SourceType | Aggregation Database |
| StartPage | 10875 |
| SubjectTerms | Air quality Analysis Four-wheel drive Trucks Volatile organic compounds |
| Title | Evaluating NO.sub.x emissions and their effect on O.sub.3 production in Texas using TROPOMI NO.sub.2 and HCHO |
| Volume | 22 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVFSB databaseName: Free Full-Text Journals in Chemistry issn: 1680-7316 databaseCode: HH5 dateStart: 20010101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: http://abc-chemistry.org/ omitProxy: true ssIdentifier: ssj0025014 providerName: ABC ChemistRy – providerCode: PRVAFT databaseName: Open Access Digital Library issn: 1680-7316 databaseCode: KQ8 dateStart: 20010101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html omitProxy: true ssIdentifier: ssj0025014 providerName: Colorado Alliance of Research Libraries – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals issn: 1680-7316 databaseCode: DOA dateStart: 20010101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.doaj.org/ omitProxy: true ssIdentifier: ssj0025014 providerName: Directory of Open Access Journals – providerCode: PRVFQY databaseName: GFMER Free Medical Journals issn: 1680-7316 databaseCode: GX1 dateStart: 0 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: http://www.gfmer.ch/Medical_journals/Free_medical.php omitProxy: true ssIdentifier: ssj0025014 providerName: Geneva Foundation for Medical Education and Research – providerCode: PRVPQU databaseName: Continental Europe Database issn: 1680-7316 databaseCode: BFMQW dateStart: 20100415 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://search.proquest.com/conteurope omitProxy: false ssIdentifier: ssj0025014 providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central issn: 1680-7316 databaseCode: BENPR dateStart: 20100415 customDbUrl: http://www.proquest.com/pqcentral?accountid=15518 isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.proquest.com/central omitProxy: true ssIdentifier: ssj0025014 providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Technology Collection issn: 1680-7316 databaseCode: 8FG dateStart: 20100415 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://search.proquest.com/technologycollection1 omitProxy: true ssIdentifier: ssj0025014 providerName: ProQuest |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnZ3ba9swFIdFmr3sZezK0rVDjLE9GA_L1_ixDU3TQpqtTVnfgizJxaOxhx1D6V-_c2T5Uhhj24tJbCGDP13OTzo6h5CPnHuhgG5jx5wJ2_ccZSegImxPOCJQIoFJXjvIXoSLa__8JrgZja4GXkv1LvkiHn57ruR_qMI94IqnZP-BbFcp3IDfwBeuQBiuf8X4xITqBrV_sdLZrO4tzN9Wae824xuZlcZpA_cFmlIeumXJJm4sLnis1T2vrFovG6wvV19Xy7O2QldXs2gdoNp4tbttUWFAgkxYok0Z18Qc0Nw7Q_20uJOtB1lzmt3qV7vRM0gzxoGldxmSypo3K4THKv_Bt1nXfs9rKdvD3Hy4XgFS1wFoYdfCZsVPVUKldWWdbpPFYOgNp46NebSGY7PrDtvgcKRlGIq_n8Q618KjCCPcg8qc7pE9j7lj8uR4vvz2vVPhuJGKKrx9nZmLB1bF-jl5ZuQAPWrYviAjlb8kkyUomaLUGx70E53dZSAr9L9XZNszpy1z2jGngIBq5rRhToucGua0Z06znGrmVDOnhnlboaurQeavyfX8ZD1b2CZlhn2LoddstLek4yjBEsliIX0VMAEaGURjxGI_SiI3RSMtktJjQmDugzh1AzmFfqkkmNZvyDgvcvWWUBeEbJxyF8MF-WCFcpEGYQQ9moEI9lw2IR_wu20wiEiOXkq3vK6qzdnV5aZnMCGfTaG02JVccHPoA16BcccelTx4VBI-nBg83v_z43fkad_WDsh4V9bqEKzFXfLe8P8FeoJt-A |
| linkProvider | ProQuest |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Evaluating+NO.sub.x+emissions+and+their+effect+on+O.sub.3+production+in+Texas+using+TROPOMI+NO.sub.2+and+HCHO&rft.jtitle=Atmospheric+chemistry+and+physics&rft.au=Goldberg%2C+Daniel+L&rft.au=Harkey%2C+Monica&rft.au=de+Foy%2C+Benjamin&rft.au=Judd%2C+Laura&rft.date=2022-08-26&rft.pub=Copernicus+GmbH&rft.issn=1680-7316&rft.volume=22&rft.issue=16&rft.spage=10875&rft.externalDocID=A715080108 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1680-7316&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1680-7316&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1680-7316&client=summon |