Decadal Prediction Skill of BCC-CSM1.1 with Different Initialization Strategies
文献类型：期刊论文
| 作者 | Luo, Yong1,2; Xin, Xiaoge; Wei, Min1,2,6; Li, Qingquan4; Zhou, Wei3; Zhao, Zongci1,2 |
| 刊名 | JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN
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| 出版日期 | 2019 |
| 卷号 | 97期号:3页码:733 |
| 关键词 | decadal prediction initialization Beijing Climate Center climate system model Ensemble Optimum Interpolation |
| ISSN号 | 0026-1165 |
| DOI | 10.2151/jmsj.2019-043 |
| 英文摘要 | Two sets of decadal prediction experiments were performed with Beijing Climate Center climate system model version 1.1 (BCC-CSM1.1) with different initialization strategies. One experiment is relaxing modeled ocean temperature to the Simple Ocean Data Assimilation (SODA) reanalysis data (SODAInit). In the other (EnOI_ Hadlnit) experiment, the modeled ocean temperature were relaxed toward the assimilated ocean data, which were generated by assimilating sea surface temperature (SST) of the Hadley Centre Sea Ice and Sea Surface Temperature (HadISST) data to the ocean model of BCC-CSM1.1 using Ensemble Optimum Interpolation (EnOI) method. Comparisons between EnOI_HadInit and SODAInit hindcasts show that EnOI_HadInit is more skillful in predicting SST over the North Pacific, the southern Indian Ocean, and the North Atlantic. Improved prediction skill is also found for surface air temperature (SAT) over South Europe, North Africa, and Greenland, which is associated with the skillful prediction of the Atlantic multi-decadal oscillation in EnOl_Hadlnit. EnOl_Hadlnit and SODAInit are both skillful in predicting East Asian SAT, which is related to their skillful predictions of the tropical western Pacific SST. The result indicates that assimilated data generated by the ocean model of BCC-CSM1.1 with EnOI assimilation provide better initial conditions than SODA reanalysis data for the decadal predictions of BCC-CSMI.1. |
| 源URL | [http://ir.scsio.ac.cn/handle/344004/17713]  |
| 专题 | 南海海洋研究所_热带海洋环境国家重点实验室(LTO) |
| 作者单位 | 1.China Meteorol Adm, Natl Meteorol Informat Ctr, Beijing, Peoples R China 2.Tsinghua Univ, Minist Educ, Key Lab Earth Syst Modeling, Dept Earth Syst Sci, Beijing, Peoples R China 3.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat OfMeteo, Nanjing, Jiangsu, Peoples R China 4.Tsinghua Univ, JCGCS, Beijing, Peoples R China 5.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Beijing, Peoples R China 6.Natl Climate Ctr, Lab Climate Studies, China Meteorol Adm, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Luo, Yong,Xin, Xiaoge,Wei, Min,et al. Decadal Prediction Skill of BCC-CSM1.1 with Different Initialization Strategies[J]. JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN,2019,97(3):733, 744. |
| APA | Luo, Yong,Xin, Xiaoge,Wei, Min,Li, Qingquan,Zhou, Wei,&Zhao, Zongci.(2019).Decadal Prediction Skill of BCC-CSM1.1 with Different Initialization Strategies.JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN,97(3),733. |
| MLA | Luo, Yong,et al."Decadal Prediction Skill of BCC-CSM1.1 with Different Initialization Strategies".JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN 97.3(2019):733. |
入库方式： OAI收割
来源：南海海洋研究所
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