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ENSO-Related Precipitation and Its Statistical Relationship with the Walker Circulation Trend in CMIP5 AMIP Models

Authors
Yim, Bo YoungYeh, Sang-WookSohn, Byung-Ju
Issue Date
Feb-2016
Publisher
Rotoweb Cantelli
Keywords
walker circulation; ENSO; sea surface temperature; precipitation; CMIP5 climate models
Citation
Atmosphere, v.7, no.2, pp.1 - 10
Indexed
SCIE
SCOPUS
Journal Title
Atmosphere
Volume
7
Number
2
Start Page
1
End Page
10
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/14550
DOI
10.3390/atmos7020019
ISSN
2073-4433
Abstract
Observational evidence shows that the Walker circulation (WC) in the tropical Pacific has strengthened in recent decades. In this study, we examine the WC trend for 1979-2005 and its relationship with the precipitation associated with the El Nino Southern Oscillation (ENSO) using the sea surface temperature (SST)-constrained Atmospheric Model Intercomparison Project (AMIP) simulations of the Coupled Model Intercomparison Project Phase 5 (CMIP5) climate models. All of the 29 models show a strengthening of the WC trend in response to an increase in the SST zonal gradient along the equator. Despite the same SST-constrained AMIP simulations, however, a large diversity is found among the CMIP5 climate models in the magnitude of the WC trend. The relationship between the WC trend and precipitation anomalies (PRCPAs) associated with ENSO (ENSO-related PRCPAs) shows that the longitudinal position of the ENSO-related PRCPAs in the western tropical Pacific is closely related to the magnitude of the WC trend. Specifically, it is found that the strengthening of the WC trend is large (small) in the CMIP5 AMIP simulations in which the ENSO-related PRCPAs are located relatively westward (eastward) in the western tropical Pacific. Therefore, the zonal shift of the ENSO-related precipitation in the western tropical Pacific, which is associated with the climatological mean precipitation in the tropical Pacific, could play an important role in modifying the WC trend in the CMIP5 climate models.
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COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY > DEPARTMENT OF MARINE SCIENCE AND CONVERGENCE ENGINEERING > 1. Journal Articles

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