Application of Conditional Nonlinear Optimal Perturbation to Targeted Observation Studies of the Atmosphere and Ocean
文献类型：CNKI期刊论文
| 作者 | Mu M(穆穆); Wang Q(王强); Duan WS(段晚锁); Jiang ZN(姜智娜) |
| 发表日期 | 2014-10-15 |
| 出处 | Journal of Meteorological Research
 |
| 关键词 | conditional nonlinear optimal perturbation targeted observation ENSO Kuroshio path variations blocking |
| 英文摘要 | This paper reviews progress in the application of conditional nonlinear optimal perturbation to targeted observation studies of the atmosphere and ocean in recent years,with a focus on the El Nino-Southern Oscillation(ENSO),Kuroshio path variations,and blocking events.Through studying the optimal precursor(OPR) and optimally growing initial error(OGE) of the occurrence of the above events,the similarity and localization features of OPR and OGE spatial structures have been found for each event.Ideal hindcasting experiments have shown that,if initial errors are reduced in the areas with the largest amplitude for the OPR and OGE for ENSO and Kuroshio path variations,the forecast skill of the model for these events is significantly improved.Due to the similarity between patterns of the OPR and OGE,additional observations implemented in the same sensitive region would help to not only capture the precursors,but also reduce the initial errors in the predictions,greatly increasing the forecast abilities.The similarity and localization of the spatial structures of the OPR and OGE during the onset of blocking events have also been investigated,but their application to targeted observation requires further study. |
| 文献子类 | CNKI期刊论文 |
| 资助机构 | Supported by the National Natural Science Foundation of China(41230420 and 41306023) ; China Meteorological Administration Special Public Welfare Research Fund(GYHY201306018) |
| 卷 | v.28期:05页:257-267 |
| 语种 | 英文; |
| 分类号 | P732 |
| ISSN号 | 2095-6037 |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/190281]  |
| 专题 | 中国科学院海洋研究所 |
| 作者单位 | 1.KeyLaboratoryofOceanCirculationandWaves,InstituteofOceanology,ChineseAcademyofSciences 2.StateKeyLaboratoryofNumericalModelingforAtmosphericSciencesandGeophysicalFluidDynamics,InstituteofAtmosphericPhysics,ChineseAcademyofSciences 3.StateKeyLaboratoryofSevereWeather,ChineseAcademyofMeteorologicalSciences |
| 推荐引用方式 GB/T 7714 | Mu M,Wang Q,Duan WS,et al. Application of Conditional Nonlinear Optimal Perturbation to Targeted Observation Studies of the Atmosphere and Ocean. 2014. |
入库方式： OAI收割
来源：海洋研究所
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