DOI: 10.1175/JCLI-D-17-0466.1
Scopus记录号: 2-s2.0-85043684330
论文题名: A coupled dynamic index for ENSO periodicity
作者: Lu B. ; Jin F.-F. ; Ren H.-L.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2018
卷: 31, 期: 6 起始页码: 2361
结束页码: 2376
语种: 英语
英文关键词: El Nino
; ENSO
Scopus关键词: Atmospheric pressure
; Climate models
; Coupled Model Intercomparison Project
; Efficiency factor
; EL Nino
; ENSO
; Equatorial heat content
; Quantitative assessments
; Recharge oscillator
; Southern oscillation
; Climatology
英文摘要: El Niño-Southern Oscillation (ENSO) is the most active interannual climatic mode, with great global impacts. The state-of-the-art climate models can simulate this dominant mode variability to a large extent. Nevertheless, some of ENSO's fundamental time-space characteristics still have a large spread in the simulations across the array of recent climate models. For example, the large biases of ENSO periodicity still exist among model simulations from phase 5 of the Coupled Model Intercomparison Project (CMIP5). Based on the recharge oscillator framework, a coupled dynamic index for ENSO periodicity is proposed in this study, referred to as the Wyrtki index, in parallel to the Bjerknes index for ENSO instability. The Wyrtki index provides an approximate dynamic measure for ENSO linear periodicity. It has two main contribution terms: the thermocline and zonal advective feedbacks (or F factor) multiplied by the efficiency factor B of discharging-recharging of the equatorial heat content driven by ENSO wind stress anomalies. It is demonstrated that the diversity of simulated ENSO periodicity in CMIP5 models results from the biases in mean state and several key parameters that control ENSO dynamics. A larger F factor would result in a shorter ENSO period [e.g., BCC_CSM1.1(m)], whereas a smaller B factor would lead to a longer ENSO period (e.g., HadGEM2-ES). The Wyrtki index serves as a useful tool for a quantitative assessment of the sources for ENSO periodicity in reanalysis data and its biases in CMIP5 model simulations. © 2018 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/111627
Appears in Collections: 气候减缓与适应
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作者单位: Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing, China; CMA-NJU Joint Laboratory for Climate Prediction Studies, School of Atmospheric Sciences, Nanjing University, Nanjing, China; Department of Atmospheric Sciences, University of Hawai'i at Manoa, HonoluluHI, China; Department of Atmospheric Science, School of Environmental Studies, China University of Geosciences, Wuhan, China
Recommended Citation:
Lu B.,Jin F.-F.,Ren H.-L.. A coupled dynamic index for ENSO periodicity[J]. Journal of Climate,2018-01-01,31(6)