Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017GL073669 |
Importance of convective parameterization in ENSO predictions | |
Zhu, Jieshun1,2; Kumar, Arun1; Wang, Wanqiu1; Hu, Zeng-Zhen1; Huang, Bohua3,4; Balmaseda, Magdalena A.5 | |
2017-06-28 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS
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ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2017 |
卷号 | 44期号:12 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; England |
英文摘要 | This letter explored the influence of atmospheric convection scheme on El Nino-Southern Oscillation (ENSO) predictions using a set of hindcast experiments. Specifically, a low-resolution version of the Climate Forecast System version 2 is used for 12 month hindcasts starting from each April during 1982-2011. The hindcast experiments are repeated with three atmospheric convection schemes. All three hindcasts apply the identical initialization with ocean initial conditions taken from the European Centre for Medium-Range Weather Forecasts and atmosphere/land initial states from the National Centers for Environmental Prediction. Assessments indicate a substantial sensitivity of the sea surface temperature prediction skill to the different convection schemes, particularly over the eastern tropical Pacific. For the Nino 3.4 index, the anomaly correlation skill can differ by 0.1-0.2 at lead times longer than 2 months. Long-term simulations are further conducted with the three convection schemes to understand the differences in prediction skill. By conducting heat budget analyses for the mixed-layer temperature anomalies, it is suggested that the convection scheme having the highest skill simulates stronger and more realistic coupled feedbacks related to ENSO. Particularly, the strength of the Ekman pumping feedback is better represented, which is traced to more realistic simulation of surface wind stress. Our results imply that improving the mean state simulations in coupled (ocean-atmosphere) general circulation model (e.g., ameliorating the Intertropical Convergence Zone simulation) might further improve our ENSO prediction capability. |
英文关键词 | ENSO prediction convection parameterization double-ITCZ |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000405854200053 |
WOS关键词 | EL-NINO ; COUPLED OCEAN ; FORECAST SYSTEM ; MODEL ; OSCILLATOR ; IMPACT ; SKILL |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
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/29009 |
专题 | 气候变化 |
作者单位 | 1.NOAA NWS NCEP, Climate Predict Ctr, College Pk, MD 20740 USA; 2.Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA; 3.George Mason Univ, Ctr Ocean Land Atmosphere Studies, Fairfax, VA 22030 USA; 4.George Mason Univ, Dept Atmospher Ocean & Earth Sci, Coll Sci, Fairfax, VA 22030 USA; 5.European Ctr Medium Range Weather Forecasts, Reading, Berks, England |
推荐引用方式 GB/T 7714 | Zhu, Jieshun,Kumar, Arun,Wang, Wanqiu,et al. Importance of convective parameterization in ENSO predictions[J]. GEOPHYSICAL RESEARCH LETTERS,2017,44(12). |
APA | Zhu, Jieshun,Kumar, Arun,Wang, Wanqiu,Hu, Zeng-Zhen,Huang, Bohua,&Balmaseda, Magdalena A..(2017).Importance of convective parameterization in ENSO predictions.GEOPHYSICAL RESEARCH LETTERS,44(12). |
MLA | Zhu, Jieshun,et al."Importance of convective parameterization in ENSO predictions".GEOPHYSICAL RESEARCH LETTERS 44.12(2017). |
条目包含的文件 | 条目无相关文件。 |
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