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박상서

Park, Sang Seo
Environmental Radiation Monitoring Lab.
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dc.citation.endPage 373 -
dc.citation.number 1 -
dc.citation.startPage 354 -
dc.citation.title GISCIENCE & REMOTE SENSING -
dc.citation.volume 59 -
dc.contributor.author Park, Jong-Uk -
dc.contributor.author Park, Jin-Soo -
dc.contributor.author Diaz, Daniel Santana -
dc.contributor.author Gebetsberger, Manuel -
dc.contributor.author Mueller, Moritz -
dc.contributor.author Shalaby, Lena -
dc.contributor.author Tiefengraber, Martin -
dc.contributor.author Kim, Hyun-Jae -
dc.contributor.author Park, Sang Seo -
dc.contributor.author Song, Chang-Keun -
dc.contributor.author Kim, Sang-Woo -
dc.date.accessioned 2023-12-21T14:37:25Z -
dc.date.available 2023-12-21T14:37:25Z -
dc.date.created 2022-12-07 -
dc.date.issued 2022-02 -
dc.description.abstract The spatiotemporal inhomogeneity of the total column NO2 amounts (TCN) in the Seoul Metropolitan Area (SMA), Korea, was quantitatively assessed through year-round (October 2019-May 2021) TROPOMI and ground-based Pandora measurements. The average TCN over the SMA was comparable to that of major Chinese megacities, being consistently high (> 0.8 DU; Dobson Unit) during the daytime (10-17 local standard time). The autocorrelation scores of the Pandorameasured TCNs demonstrated high temporal variability attributed to the spatial inhomogeneity of NO2 emissions within the SMA and near-surface advection. Accordingly, the adequate temporal collocation range for Pandora measurements for the intercomparison with the satellite sensors was considered to be +/- 5 min to avoid significant uncertainty from the temporal variability (RMSE < 0.1 DU, R-2 > 0.96). TROPOMI showed better agreement with conventionally collocated Pandora measurements (0.73 < R-2 < 0.76, 26-29% negative bias) than the other two satellite sensors (OMI and OMPS) attributed to its highest spatial resolution. The application of the wind-based collocation revealed that the TROPOMI showed a greater negative bias on the upwind side, which was less affected by anthropogenic emissions from the urban area, than the downwind side, and the increasing distance of the TROPOMI pixel from Pandora was the most critical factor deteriorating the intercomparison scores. The FRESCO-S TROPOMI cloud algorithm update to FRESCO-wide yielded a general increase in TROPOMI TCN, especially in the partially cloudy pixels, leaving only 11% (downwind) and 29% (upwind) negative bias from coincident Pandora measurements. Furthermore, the wind-based collocation method revealed the spatial distribution pattern of NOX (NO + NO2) emissions in the SMA, with significant emission sources in the northeastern and southeastern sides of the ground-based Pandora site in Seoul. -
dc.identifier.bibliographicCitation GISCIENCE & REMOTE SENSING, v.59, no.1, pp.354 - 373 -
dc.identifier.doi 10.1080/15481603.2022.2026640 -
dc.identifier.issn 1548-1603 -
dc.identifier.scopusid 2-s2.0-85124332089 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/60134 -
dc.identifier.wosid 000884748000001 -
dc.language 영어 -
dc.publisher TAYLOR & FRANCIS LTD -
dc.title Spatiotemporal inhomogeneity of total column NO2 in a polluted urban area inferred from TROPOMI and Pandora intercomparisons -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Geography, Physical; Remote Sensing -
dc.relation.journalResearchArea Physical Geography; Remote Sensing -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor TROPOMI -
dc.subject.keywordAuthor Pandora -
dc.subject.keywordAuthor total column NO2 -
dc.subject.keywordAuthor spatiotemporal variability -
dc.subject.keywordAuthor Seoul metropolitan area -
dc.subject.keywordPlus GROUND-BASED MEASUREMENTS -
dc.subject.keywordPlus HIGH-SPATIAL-RESOLUTION -
dc.subject.keywordPlus NITROGEN-DIOXIDE -
dc.subject.keywordPlus SENTINEL-5 PRECURSOR -
dc.subject.keywordPlus SATELLITE OBSERVATION -
dc.subject.keywordPlus RETRIEVAL ALGORITHM -
dc.subject.keywordPlus MAX-DOAS -
dc.subject.keywordPlus OZONE -
dc.subject.keywordPlus OMI -
dc.subject.keywordPlus VALIDATION -

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