DOI: 10.1175/JCLI-D-17-0123.1
Scopus记录号: 2-s2.0-85043720013
论文题名: Evaluating AMIP skill in simulating interannual variability over the Indo-western Pacific
作者: Zhou Z.-Q. ; Xie S.-P. ; Zhang G.J. ; Zhou W.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2018
卷: 31, 期: 6 起始页码: 2253
结束页码: 2265
语种: 英语
英文关键词: Atmosphere-ocean interaction
; Interannual variability
; Model comparison
; Model evaluation/performance
; Tropics
Scopus关键词: Atmospheric thermodynamics
; Climate change
; Lakes
; Oceanography
; Salinity measurement
; Surface waters
; Tropics
; Atmosphere-ocean interactions
; Atmospheric model intercomparison projects
; Interannual variability
; Model comparison
; Model evaluation/performance
; Rainfall variability
; Sea surface temperature (SST)
; Western Pacific Warm Pool
; Rain
; air-sea interaction
; annual variation
; atmosphere-ocean coupling
; atmospheric modeling
; climate feedback
; comparative study
; correlation
; general circulation model
; performance assessment
; rainfall
; sea surface temperature
; tropical region
; Indian Ocean
; Indian Ocean (Tropical)
; Pacific Ocean
; Pacific Ocean (West)
英文摘要: Local correlation between sea surface temperature (SST) and rainfall is weak or even negative in summer over the Indo-western Pacific warm pool, a fact often taken as indicative of weak ocean feedback on the atmosphere. An Atmospheric Model Intercomparison Project (AMIP) simulation forced by monthly varying SSTs derived from a parallel coupled general circulation model (CGCM) run is used to evaluate AMIP skills in simulating interannual variability of rainfall. Local correlation of rainfall variability between AMIP and CGCM simulations is used as a direct metric of AMIP skill. This "perfect model" approach sidesteps the issue of model biases that complicates the traditional skill metric based on the correlation between AMIP and observations. Despite weak local SST-rainfall correlation, the AMIP-CGCM rainfall correlation exceeds a 95% significance level over most of the Indo-western Pacific warm pool, indicating the importance of remote (e.g., El Niño in the equatorial Pacific) rather than local SST forcing. Indeed, the AMIP successfully reproduces large-scale modes of rainfall variability over the Indo-western Pacific warm pool. Compared to the northwest Pacific east of the Philippines, the AMIP-CGCM rainfall correlation is low from the Bay of Bengal through the South China Sea, limited by internal variability of the atmosphere that is damped in CGCM by negative feedback from the ocean. Implications for evaluating AMIP skill in simulating observations are discussed. © 2018 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/111621
Appears in Collections: 气候减缓与适应
There are no files associated with this item.
作者单位: Physical Oceanography Laboratory, Cooperation and Innovation Center for Marine Science and Technology of Qingdao, Ocean University of China, Qingdao, China; Qingdao National Laboratory for Marine Science and Technology, Qingdao, China; Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, United States
Recommended Citation:
Zhou Z.-Q.,Xie S.-P.,Zhang G.J.,et al. Evaluating AMIP skill in simulating interannual variability over the Indo-western Pacific[J]. Journal of Climate,2018-01-01,31(6)