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Article: Investigating the spatiotemporal variations of extreme rainfall and its potential driving factors with improved partial wavelet coherence

TitleInvestigating the spatiotemporal variations of extreme rainfall and its potential driving factors with improved partial wavelet coherence
Authors
Wang, YLiu, SChen, JZhou, ZShi, H
Issue Date2022
Citation
Frontiers in Environmental Science, 2022, v. 10 How to Cite?
DOI: http://dx.doi.org/10.3389/fenvs.2022.951468
Persistent Identifierhttp://hdl.handle.net/10722/320471
ISI Accession Number ID
WOS:000860789800001

 

DC FieldValueLanguage
dc.contributor.authorWang, Y-
dc.contributor.authorLiu, S-
dc.contributor.authorChen, J-
dc.contributor.authorZhou, Z-
dc.contributor.authorShi, H-
dc.date.accessioned2022-10-21T07:53:56Z-
dc.date.available2022-10-21T07:53:56Z-
dc.date.issued2022-
dc.identifier.citationFrontiers in Environmental Science, 2022, v. 10-
dc.identifier.urihttp://hdl.handle.net/10722/320471-
dc.languageeng-
dc.relation.ispartofFrontiers in Environmental Science-
dc.titleInvestigating the spatiotemporal variations of extreme rainfall and its potential driving factors with improved partial wavelet coherence-
dc.typeArticle-
dc.identifier.emailChen, J: jichen@hku.hk-
dc.identifier.authorityChen, J=rp00098-
dc.identifier.doi10.3389/fenvs.2022.951468-
dc.identifier.hkuros339742-
dc.identifier.volume10-
dc.identifier.isiWOS:000860789800001-

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