GSTDTAP  > 气候变化
DOI10.1175/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
ISSN0894-8755
EISSN1520-0442
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).
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