DOI: 10.1175/JCLI-D-17-0331.1
Scopus记录号: 2-s2.0-85041654345
论文题名: Diagnosing relationships between mean state biases and El Niño shortwave feedback in CMIP5 models
作者: Ferrett S. ; Collins M. ; Ren H.-L.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2018
卷: 31, 期: 4 起始页码: 1315
结束页码: 1335
语种: 英语
英文关键词: Atmosphere-ocean interaction
; Atmospheric circulation
; El Nino
; ENSO
; Feedback
; Fluxes
Scopus关键词: Atmospheric humidity
; Atmospheric thermodynamics
; Climate models
; Climatology
; Fluxes
; Nickel
; Oceanography
; Precipitation (meteorology)
; Surface waters
; Atmosphere-ocean interactions
; Atmospheric circulation
; Atmospheric conditions
; Coupled Model Intercomparison Project
; Eastern equatorial Pacific
; EL Nino
; ENSO
; Sea surface temperature anomalies
; Feedback
英文摘要: The rate of damping of tropical Pacific sea surface temperature anomalies (SSTAs) associated with El Niño events by surface shortwave heat fluxes has significant biases in current coupled climate models [phase 5 of the Coupled Model Intercomparison Project (CMIP5)]. Of 33 CMIP5 models, 16 have shortwave feedbacks that are weakly negative in comparison to observations, or even positive, resulting in a tendency of amplification of SSTAs. Two biases in the cloud response to El Niño SSTAs are identified and linked to significant mean state biases in CMIP5 models. First, cool mean SST and reduced precipitation are linked to comparatively less cloud formation in the eastern equatorial Pacific during El Niño events, driven by a weakened atmospheric ascent response. Second, a spurious reduction of cloud driven by anomalous surface relative humidity during El Niño events is present in models with more stable eastern Pacific mean atmospheric conditions and more low cloud in the mean state. Both cloud response biases contribute to a weak negative shortwave feedback or a positive shortwave feedback that amplifies El Niño SSTAs. Differences between shortwave feedback in the coupled models and the corresponding atmosphere-only models (AMIP) are also linked to mean state differences, consistent with the biases found between different coupled models. Shortwave feedback bias can still persist in AMIP, as a result of persisting weak shortwave responses to anomalous cloud and weak cloud responses to atmospheric ascent. This indicates the importance of bias in the atmosphere component to coupled model feedback and mean state biases. © 2018 American Meteorological Society.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/111668
Appears in Collections: 气候减缓与适应
There are no files associated with this item.
作者单位: College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom; Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing, China; Department of Atmospheric Science, School of Environmental Studies, China University of Geoscience, Wuhan, China; CMA-Nanjing University Joint Laboratory for Climate Prediction Studies, School of Atmospheric Sciences, Nanjing University, Nanjing, China
Recommended Citation:
Ferrett S.,Collins M.,Ren H.-L.. Diagnosing relationships between mean state biases and El Niño shortwave feedback in CMIP5 models[J]. Journal of Climate,2018-01-01,31(4)