DOI: 10.1175/JCLI-D-16-0122.1
Scopus记录号: 2-s2.0-85008235347
论文题名: Stochastic parameterization and El Niño-southern oscillation
作者: Christensen H.M. ; Berner J. ; Coleman D.R. ; Palmer T.N.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2017
卷: 30, 期: 1 起始页码: 17
结束页码: 38
语种: 英语
Scopus关键词: Additive noise
; Atmospheric pressure
; Climate change
; Climate models
; Climatology
; Nickel
; Parameterization
; Phase noise
; Stochastic control systems
; Stochastic systems
; Wind stress
; Climate variability
; Coupled models
; ENSO
; Model errors
; Non-linear model
; Stochastic models
英文摘要: El Niño-Southern Oscillation (ENSO) is the dominant mode of interannual variability in the tropical Pacific. However, the models in the ensemble from phase 5 of the Coupled Model Intercomparison Project (CMIP5) have large deficiencies in ENSO amplitude, spatial structure, and temporal variability. The use of stochastic parameterizations as a technique to address these pervasive errors is considered. The multiplicative stochastically perturbed parameterization tendencies (SPPT) scheme is included in coupled integrations of the National Center for Atmospheric Research (NCAR) Community Atmosphere Model, version 4 (CAM4). The SPPT scheme results in a significant improvement to the representation of ENSO in CAM4, improving the power spectrum and reducing the magnitude of ENSO toward that observed. To understand the observed impact, additive and multiplicative noise in a simple delayed oscillator (DO) model of ENSO is considered. Additive noise results in an increase in ENSO amplitude, but multiplicative noise can reduce the magnitude of ENSO, as was observed for SPPT in CAM4. In light of these results, two complementary mechanisms are proposed by which the improvement occurs in CAM. Comparison of the coupled runs with a set of atmosphere-only runs indicates that SPPT first improve the variability in the zonal winds through perturbing the convective heating tendencies, which improves the variability of ENSO. In addition, SPPT improve the distribution of westerly wind bursts (WWBs), important for initiation of El Niño events, by increasing the stochastic component of WWB and reducing the overly strong dependency on SST compared to the control integration. © 2017 American Meteorological Society. 资助项目: EPA, U.S. Environmental Protection Agency
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/49816
Appears in Collections: 气候变化事实与影响
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作者单位: Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, United Kingdom; National Center for Atmospheric Research, Boulder, CO, United States
Recommended Citation:
Christensen H.M.,Berner J.,Coleman D.R.,et al. Stochastic parameterization and El Niño-southern oscillation[J]. Journal of Climate,2017-01-01,30(1)