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Data Assimilation of AOD and Estimation of Surface Particulate Matters over the Arctic

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dc.contributor.authorHan, Kyung M.-
dc.contributor.authorJung, Chang H.-
dc.contributor.authorPark, Rae-Seol-
dc.contributor.authorPark, Soon-Young-
dc.contributor.authorLee, Sojin-
dc.contributor.authorKulmala, Markku-
dc.contributor.authorPetaja, Tuukka-
dc.contributor.authorKarasinski, Grzegorz-
dc.contributor.authorSobolewski, Piotr-
dc.contributor.authorYoon, Young Jun-
dc.contributor.authorLee, Bang Yong-
dc.contributor.authorKim, Kiyeon-
dc.contributor.authorKim, Hyun S.-
dc.date.accessioned2021-04-29T01:00:36Z-
dc.date.available2021-04-29T01:00:36Z-
dc.date.issued2021-02-
dc.identifier.urihttps://repository.kopri.re.kr/handle/201206/11773-
dc.description.abstractIn this study, more accurate information on the levels of aerosol optical depth (AOD) was calcu-lated from the assimilation of the modeled AOD based on the optimal interpolation method. Also, more realistic levels of surface particulate matters over the Arctic were estimated using the assimilated AOD based on the linear relationship between the particulate matters and AODs. In comparison to the MODIS observation, the assimilated AOD was much improved compared with the modeled AOD (e.g., increase in correlation coefficients from -0.15 ? 0.26 to 0.17 ? 0.76 over the Arctic). The newly inferred monthly averages of PM10 and PM2.5 for April ? September 2008 were 2.18 ? 3.70 μg m-3 and 0.85 ? 1.68 μg m-3 over the Arctic, respectively. These corre-sponded to an increase of 140-180%, compared with the modeled PMs. In comparison to in-situ observation, the inferred PMs showed better performances than those from the simulations, par-ticularly at Hyytiala station. Therefore, combining the model simulation and data assimilation provided more accurate concentrations of AOD, PM10, and PM2.5 than those only calculated from the model simulations.en_US
dc.languageEnglishen_US
dc.language.isoen_USen_US
dc.subjectChemistryen_US
dc.subjectEngineeringen_US
dc.subjectMaterials Scienceen_US
dc.subjectPhysicsen_US
dc.subject.classification기타()en_US
dc.titleData Assimilation of AOD and Estimation of Surface Particulate Matters over the Arcticen_US
dc.title.alternative에어로졸 광학깊이 자료동화와 북극의 지표면 입자 예측en_US
dc.typeArticleen_US
dc.identifier.bibliographicCitationKyung M. Han, et al. 2021. "Data Assimilation of AOD and Estimation of Surface Particulate Matters over the Arctic". <em>APPLIED SCIENCES-BASEL</em>, 11(4): 1959-1976.en_US
dc.citation.titleAPPLIED SCIENCES-BASELen_US
dc.citation.volume11en_US
dc.citation.number4en_US
dc.identifier.doi10.3390/app11041959-
dc.citation.startPage1959en_US
dc.citation.endPage1976en_US
dc.description.articleClassificationSCIE-
dc.description.jcrRateJCR 2019:35.165en_US
dc.subject.keywordCMAQ modelen_US
dc.subject.keywordMODISen_US
dc.subject.keywordAERONETen_US
dc.subject.keywordaerosol optical depthen_US
dc.subject.keywordoptimal interpolationen_US
dc.subject.keywordArcticen_US
dc.subject.keyworddata assimilationen_US
dc.subject.keywordPMsen_US
dc.identifier.localId2021-0063-
dc.identifier.scopusids2.0-85102120300-
dc.identifier.wosid000632091600001-
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2020-2020, Arctic permafrost environment change monitoring and prediction method developments (20-20) / Lee, Bang Yong (PN20081)
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