Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-16-0122.1 |
Stochastic Parameterization and El Nino-Southern Oscillation | |
Christensen, H. M.1; Berner, Judith2; Coleman, Danielle R. B.2; Palmer, T. N.3 | |
2017 | |
发表期刊 | JOURNAL OF CLIMATE
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ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2017 |
卷号 | 30期号:1 |
文章类型 | Article |
语种 | 英语 |
国家 | England; USA |
英文摘要 | El Nino-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 Nino events, by increasing the stochastic component of WWB and reducing the overly strong dependency on SST compared to the control integration. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000391855700003 |
WOS关键词 | SEA-SURFACE TEMPERATURE ; WESTERLY WIND BURSTS ; GENERAL-CIRCULATION MODELS ; CONVECTIVE PARAMETERIZATION ; BACKSCATTER SCHEME ; CLIMATE MODELS ; ENSO ; IMPACT ; NOISE ; PREDICTABILITY |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/20752 |
专题 | 气候变化 |
作者单位 | 1.Univ Oxford, Atmospher Ocean & Planetary Phys, Oxford, England; 2.Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA; 3.Univ Oxford, Atmospher Ocean & Planetary Phys, Oxford, England |
推荐引用方式 GB/T 7714 | Christensen, H. M.,Berner, Judith,Coleman, Danielle R. B.,et al. Stochastic Parameterization and El Nino-Southern Oscillation[J]. JOURNAL OF CLIMATE,2017,30(1). |
APA | Christensen, H. M.,Berner, Judith,Coleman, Danielle R. B.,&Palmer, T. N..(2017).Stochastic Parameterization and El Nino-Southern Oscillation.JOURNAL OF CLIMATE,30(1). |
MLA | Christensen, H. M.,et al."Stochastic Parameterization and El Nino-Southern Oscillation".JOURNAL OF CLIMATE 30.1(2017). |
条目包含的文件 | 条目无相关文件。 |
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