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| DOI | 10.1175/JCLI-D-16-0915.1 |
| Improved Prediction of the Indian Ocean Dipole Mode by Use of Subsurface Ocean Observations | |
| Doi, Takeshi1; Storto, Andrea2; Behera, Swadhin K.1; Navarra, Antonio2; Yamagata, Toshio1 | |
| 2017-10-01 | |
| 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:19 |
| 文章类型 | Article |
| 语种 | 英语 |
| 国家 | Japan; Italy |
| 英文摘要 | The numerical seasonal prediction system using the Scale Interaction Experiment-Frontier version 1 (SINTEX-F) ocean-atmosphere coupled model has so far demonstrated a good performance for prediction of the Indian Ocean dipole mode (IOD) despite the fact that the system adopts a relatively simple initialization scheme based on nudging only the sea surface temperature (SST). However, it is to be expected that the system is not sufficient to capture in detail the subsurface oceanic precondition. Therefore, the authors have introduced a new three-dimensional variational ocean data assimilation (3DVAR) method that takes three-dimensional observed ocean temperature and salinity into account. Since the new system has successfully improved IOD predictions, the present study is showing that the ocean observational efforts in the tropical Indian Ocean are decisive for improvement of the IOD predictions and may have a large impact on important socioeconomic activities, particularly in the Indian Ocean rim countries. |
| 领域 | 气候变化 |
| 收录类别 | SCI-E |
| WOS记录号 | WOS:000411436700018 |
| WOS关键词 | DATA ASSIMILATION SYSTEM ; ENSO PREDICTION ; EL-NINO ; SOUTHERN-OSCILLATION ; SEYCHELLES DOME ; COUPLED MODELS ; SST ANOMALIES ; CLIMATE MODEL ; PREDICTABILITY ; VARIABILITY |
| 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/19553 |
| 专题 | 气候变化 |
| 作者单位 | 1.Japan Agcy Marine Earth Sci & Technol, Applicat Lab, Yokohama, Kanagawa, Japan; 2.Ctr Euromediterraneo & Cambiamenti Climat, Bologna, Italy |
| 推荐引用方式 GB/T 7714 | Doi, Takeshi,Storto, Andrea,Behera, Swadhin K.,et al. Improved Prediction of the Indian Ocean Dipole Mode by Use of Subsurface Ocean Observations[J]. JOURNAL OF CLIMATE,2017,30(19). |
| APA | Doi, Takeshi,Storto, Andrea,Behera, Swadhin K.,Navarra, Antonio,&Yamagata, Toshio.(2017).Improved Prediction of the Indian Ocean Dipole Mode by Use of Subsurface Ocean Observations.JOURNAL OF CLIMATE,30(19). |
| MLA | Doi, Takeshi,et al."Improved Prediction of the Indian Ocean Dipole Mode by Use of Subsurface Ocean Observations".JOURNAL OF CLIMATE 30.19(2017). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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