Siberian vegetation growth intensifies monsoon precipitation in southern East Asia in late spring and early summer
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yeh, Sang-Wook | - |
dc.contributor.author | Sohn, Byung-Ju | - |
dc.contributor.author | Oh, Sae-Yoon | - |
dc.contributor.author | Song, Se-Yong | - |
dc.contributor.author | Jeong, Jee-Hoon | - |
dc.contributor.author | Wang, Bin | - |
dc.contributor.author | Wu, Renguang | - |
dc.contributor.author | Yang, Young-Min | - |
dc.date.accessioned | 2024-05-14T08:00:30Z | - |
dc.date.available | 2024-05-14T08:00:30Z | - |
dc.date.issued | 2024-05 | - |
dc.identifier.issn | 2397-3722 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/119016 | - |
dc.description.abstract | Regional hydrological cycle responding to rising temperatures can have significant influences on society and human activities. We suggest a new perspective on East Asia’s enhanced precipitation amount that emphasizes the role of Siberian surface warming. Increased vegetation greenness in late spring and early summer in eastern Siberia, which may be a response to global warming, acts to warm the surface by reducing the surface albedo with an increase in net absorbed shortwave radiation. Subsequently, eastern Siberia warming leads to the strengthening of anti-cyclonic atmospheric circulation over inner East Asia as well as the subtropical western North Pacific high via thermal forcing and the enhanced land-sea thermal contrast, respectively. Consequently, the anticyclonic circulation over inner East Asia transports much drier and cooler air to southern East Asia. This leads to favorable conditions for increased precipitation in combination with an increased tropical moisture flux from the subtropical western North Pacific high. Therefore, continuous Siberian vegetation growth has a potential influence on the future precipitation amount in the subtropics through vegetation–atmosphere coupled processes. © The Author(s) 2024. | - |
dc.format.extent | 9 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Nature Research | - |
dc.title | Siberian vegetation growth intensifies monsoon precipitation in southern East Asia in late spring and early summer | - |
dc.type | Article | - |
dc.publisher.location | 영국 | - |
dc.identifier.doi | 10.1038/s41612-024-00650-0 | - |
dc.identifier.scopusid | 2-s2.0-85192017838 | - |
dc.identifier.wosid | 001258430300001 | - |
dc.identifier.bibliographicCitation | npj Climate and Atmospheric Science, v.7, no.1, pp 1 - 9 | - |
dc.citation.title | npj Climate and Atmospheric Science | - |
dc.citation.volume | 7 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 9 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Meteorology & Atmospheric Sciences | - |
dc.relation.journalWebOfScienceCategory | Meteorology & Atmospheric Sciences | - |
dc.subject.keywordPlus | YANGTZE-RIVER BASIN | - |
dc.subject.keywordPlus | GENERAL-CIRCULATION | - |
dc.subject.keywordPlus | CLIMATE | - |
dc.subject.keywordPlus | TEMPERATURE | - |
dc.subject.keywordPlus | IMPACT | - |
dc.subject.keywordPlus | CHINA | - |
dc.subject.keywordPlus | MODEL | - |
dc.subject.keywordPlus | DEFORESTATION | - |
dc.subject.keywordPlus | AMPLIFICATION | - |
dc.subject.keywordPlus | VARIABILITY | - |
dc.identifier.url | https://www.nature.com/articles/s41612-024-00650-0 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.