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Rising future tropical cyclone-induced extreme winds in the Mekong River Basin.
Chen, Aifang; Emanuel, Kerry A; Chen, Deliang; Lin, Changgui; Zhang, Fuqing.
Affiliation
  • Chen A; Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Gothenburg 40530, Sweden.
  • Emanuel KA; Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Chen D; Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Gothenburg 40530, Sweden. Electronic address: deliang@gvc.gu.se.
  • Lin C; Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Gothenburg 40530, Sweden.
  • Zhang F; Department of Meteorology and Atmospheric Science, Center for Advanced Data Assimilation and Predictability Techniques, the Pennsylvania State University, University Park, PA 16802, USA.
Sci Bull (Beijing) ; 65(5): 419-424, 2020 Mar 15.
Article in En | MEDLINE | ID: mdl-36659233
The societal impact of extreme winds induced by tropical cyclones (TCs) is a major concern in the Mekong River Basin (MRB). Though no clear trend of landfalling TC intensity along the Vietnam coastline has been observed since the 1970s, climate models project an increasing TC intensity in the 21st century over the Western North Pacific, which is the primary TC source region influencing the MRB. Yet, how future TC activities will affect extreme winds quantitatively in the MRB remains unclear. By employing a novel dynamical downscaling technique using a specialized, coupled ocean-atmospheric model, shorter return periods of maximum wind speed in the MRB for 2081-2100 compared with 1981-2000 are projected based on five global climate models under the RCP8.5 scenario, suggesting increases in the future tropical cyclone intensity. The results point to consistently elevated future TC-related risks that may jeopardize sustainable development, disrupt food supply, and exacerbate conflicts in the region and beyond.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Bull (Beijing) Year: 2020 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Bull (Beijing) Year: 2020 Document type: Article Affiliation country: Country of publication: