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dc.contributor.author예상욱-
dc.date.accessioned2018-07-05T06:35:25Z-
dc.date.available2018-07-05T06:35:25Z-
dc.date.issued2017-09-
dc.identifier.citationGEOPHYSICAL RESEARCH LETTERS, v. 44, No. 11, Page. 5854-5862en_US
dc.identifier.issn1944-8007-
dc.identifier.issn0094-8276-
dc.identifier.urihttps://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2017GL073778-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/72389-
dc.description.abstractStrengthening or weakening of the Walker circulation can highly influence the global weather and climate variability by altering the location and strength of tropical heating. Therefore, there is considerable interest in understanding the mechanisms that lead to the trends in the Walker circulation intensity. Conventional wisdom indicates that a strengthening or weakening of the Walker circulation is primarily controlled by inhomogeneous sea surface temperature (SST) patterns across the tropical Pacific basin. However, we show that Atmospheric Model Intercomparison Project climate model simulations with identical SST forcing have different Walker circulation trends that can be linked to differences in land surface temperatures. More prominently, stronger land-sea thermal contrast leads to increases in the precipitation in South America as well as the sea level pressure in the eastern tropical Pacific through a local circulation, resulting in a strengthening of the Walker circulation trend. This implies that correctly simulating the land temperature in atmospheric models is crucial to simulating the intensity of the Walker circulation in the present climate as well as its future change.en_US
dc.description.sponsorshipWe acknowledge the World Climate Research Programme's Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climatemodeling groups (listed in Table 1 of this paper) for producing and making available their model outputs. The HadSLP2 can be obtained online from https://www.esrl.noaa.gov/psd/gcos_wgsp/Gridded/data.hadslp2.html. The HadISST data set is from http://www.metoffice.gov.uk/hadobs/hadisst/. The NCEP and NCAR global reanalysis atmospheric variables can also be obtained from Earth System Research Laboratory (https://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html). The ERA-Interim analysis for 1975-2005 is obtained from http://apps.ecmwf.int/datasets/data/interim-mdfa/levtype=sfc. This study was supported by the Korea Ministry of Environment (MOE) as Climate Change Correspondence Program.en_US
dc.language.isoen_USen_US
dc.publisherAMER GEOPHYSICAL UNIONen_US
dc.subjectWalker circulationen_US
dc.subjectAMIP climate modelsen_US
dc.subjectland-sea thermal contrasten_US
dc.subjectsea surface temperatureen_US
dc.subjectTROPICAL CIRCULATIONen_US
dc.subjectWARMING CONTRASTen_US
dc.subjectPACIFICen_US
dc.subjectVARIABILITYen_US
dc.subjectRAINFALLen_US
dc.subjectTEMPERATUREen_US
dc.subjectRESPONSESen_US
dc.subjectPATTERNSen_US
dc.subjectHIATUSen_US
dc.subjectCMIP5en_US
dc.titleLand-sea thermal contrast determines the trend of Walker circulation simulated in atmospheric general circulation modelsen_US
dc.typeArticleen_US
dc.relation.no11-
dc.relation.volume44-
dc.identifier.doi10.1002/2017GL073778-
dc.relation.page5854-5862-
dc.relation.journalGEOPHYSICAL RESEARCH LETTERS-
dc.contributor.googleauthorYim, BY-
dc.contributor.googleauthorYeh, SW-
dc.contributor.googleauthorSong, HJ-
dc.contributor.googleauthorDommenget, D-
dc.contributor.googleauthorSohn, BJ-
dc.relation.code2017002680-
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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