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Article: Synergistic data fusion of satellite observations and in-situ measurements for hourly PM2.5 estimation based on hierarchical geospatial long short-term memory

TitleSynergistic data fusion of satellite observations and in-situ measurements for hourly PM2.5 estimation based on hierarchical geospatial long short-term memory
Authors
Yu, XWong, MSLiu, CHZhu, R
Issue Date2022
Citation
Atmospheric Environment, 2022, v. 286, p. 119257 How to Cite?
DOI: http://dx.doi.org/10.1016/j.atmosenv.2022.119257
Persistent Identifierhttp://hdl.handle.net/10722/322273

 

DC FieldValueLanguage
dc.contributor.authorYu, X-
dc.contributor.authorWong, MS-
dc.contributor.authorLiu, CH-
dc.contributor.authorZhu, R-
dc.date.accessioned2022-11-14T08:18:40Z-
dc.date.available2022-11-14T08:18:40Z-
dc.date.issued2022-
dc.identifier.citationAtmospheric Environment, 2022, v. 286, p. 119257-
dc.identifier.urihttp://hdl.handle.net/10722/322273-
dc.languageeng-
dc.relation.ispartofAtmospheric Environment-
dc.titleSynergistic data fusion of satellite observations and in-situ measurements for hourly PM2.5 estimation based on hierarchical geospatial long short-term memory-
dc.typeArticle-
dc.identifier.emailLiu, CH: chliu@hkucc.hku.hk-
dc.identifier.authorityLiu, CH=rp00152-
dc.identifier.doi10.1016/j.atmosenv.2022.119257-
dc.identifier.hkuros341854-
dc.identifier.volume286-
dc.identifier.spage119257-
dc.identifier.epage119257-

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