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dc.contributor.author예상욱-
dc.date.accessioned2022-07-29T00:48:51Z-
dc.date.available2022-07-29T00:48:51Z-
dc.date.issued2021-01-
dc.identifier.citationCLIMATE DYNAMICS, v. 56, NO 3-4, Page. 1285-1301en_US
dc.identifier.issn0930-7575-
dc.identifier.urihttps://www.proquest.com/docview/2487255583?accountid=11283-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/171911-
dc.description.abstractWe examine the transition processes of El Nino occurring in 1 year after using observations, a multi-century model simulation and atmospheric general circulation model (AGCM) experiments. One type is characterized by a quick transition from an El Nino event into a La Nina event in the following winter, and the other type involves a slow decay to an almost neutral state or a continuous El Nino event. While both the Indian and the Atlantic Oceans contribute to the El Nino's transition processes, we further find that sea surface temperature (SST) conditions in the eastern subtropical North Pacific and the associated surface wind anomalies play important roles in determining the different types of El Nino's transition processes through atmosphere-ocean coupled processes. In particular, northeasterly wind anomalies in the central subtropical North Pacific during the early spring, which is in consequence of atmosphere-ocean coupled processes, contribute to decreasing ocean heat content (OHC) anomalies and strengthening easterly wind anomalies in the central tropical Pacific. These anomalies lead up to a transition into a La Nina event in the following winter. On the contrary, weakening of the northeasterly wind and warm SST anomalies in the eastern subtropical North Pacific during the early spring are conducive to a neutral state or a continuous El Nino event in the subsequent winter. Similar transition processes are also found in a multi-century model simulation. By conducting idealized AGCM experiments, we also show that the anomalous SST in the eastern subtropical North Pacific during El Nino peak season may induce surface wind anomalies in the central tropical Pacific during El Nino onset season. These results provide potential precursors for predicting the occurrence of a La Nina event, a neutral state and an El Nino event 1 year after the occurrence of an El Nino event.en_US
dc.description.sponsorshipWe appreciate to two anonymous reviewers who gave constructive comments. We also thank the National Center for Atmospheric Research for producing and making available the results from the CESM1 CAM5 BGC Large Ensemble pre-industrial run https ://www.earthsystemgrid.org/dataset/ucar.cgd.ccsm4.CESM_CAM5_ BGC_LE.html We acknowledge using the SST data obtained from the Extended Reconstruction SST version 5 (ERSSTv5) https://www. esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html. The monthly SLP and wind stress data are obtained from the National Centers for Environmental Prediction–National Center for Atmospheric Research (NCEP–NCAR) Reanalysis 1 https://www.esrl.noaa.gov/psd/data/gridd ed/data.ncep.reanalysis.derived.html. The oceanic potential temperature can also be obtained from the NCEP Global Ocean Data Assimilation System (GODAS) https://www.esrl.noaa.gov/psd/data/gridded/ data.godas.html. This work was funded by the Korea Meteorological Administration Research and Development Program under Grant KMI2018-03211.en_US
dc.language.isoenen_US
dc.publisherSPRINGERen_US
dc.subjectSOUTHERN oscillationen_US
dc.subjectGENERAL circulation modelen_US
dc.subjectATMOSPHERIC circulationen_US
dc.subjectOCEAN temperatureen_US
dc.subjectOCEANen_US
dc.subjectLA Ninaen_US
dc.titleRole of the eastern subtropical North Pacific Ocean on the El Nino's transition processesen_US
dc.typeArticleen_US
dc.relation.no3-4-
dc.relation.volume56-
dc.identifier.doi10.1007/s00382-020-05530-w-
dc.relation.page1285-1301-
dc.relation.journalCLIMATE DYNAMICS-
dc.contributor.googleauthorYeh, Sang-Wook-
dc.contributor.googleauthorJo, Hyun-Su-
dc.contributor.googleauthorHyun, Seung-Hwon-
dc.contributor.googleauthorCai, Wenju-
dc.contributor.googleauthorHam, Yoo-Geun-
dc.relation.code2021004662-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E]-
dc.sector.departmentDEPARTMENT OF MARINE SCIENCE AND CONVERGENCE ENGINEERING-
dc.identifier.pidswyeh-


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