Seasonal prediction skills of FIO-ESM for North Pacific sea surface temperature and precipitation | |
Zhao, Yiding1,2; Yin, Xunqiang2,3,4; Song, Yajuan2,3,4; Qiao, Fangli2,3,4 | |
刊名 | ACTA OCEANOLOGICA SINICA |
2019-01 | |
卷号 | 38期号:1页码:5-12 |
关键词 | seasonal prediction North Pacific sea surface temperature precipitation FIO-ESM climate model |
DOI | 10.1007/s13131-019-1366-x |
英文摘要 | The seasonal prediction of sea surface temperature (SST) and precipitation in the North Pacific based on the hindcast results of The First Institute of Oceanography Earth System Model (FIO-ESM) is assessed in this study. The Ensemble Adjusted Kalman Filter assimilation scheme is used to generate initial conditions, which are shown to be reliable by comparison with the observations. Based on this comparison, we analyze the FIO-ESM 6-month hindcast results starting from each month of 1993-2013. The model exhibits high SST prediction skills over most of the North Pacific for two seasons in advance. Furthermore, it remains skillful at long lead times for midlatitudes. The reliable prediction of SST can transfer fairly well to precipitation prediction via air-sea interactions. The average skill of the North Pacific variability (NPV) index from 1 to 6 months lead is as high as 0.72 (0.55) when El Nino-Southern Oscillation and NPV are in phase (out of phase) at initial conditions. The prediction skill of the NPV index of FIO-ESM is improved by 11.6% (23.6%) over the Climate Forecast System, Version 2. For seasonal dependence, the skill of FIO-ESM is higher than the skill of persistence prediction in the later period of prediction. |
出版地 | 233 SPRING ST, NEW YORK, NY 10013 USA |
资助项目 | Public Science and Technology Research Funds Projects of Ocean[201505013] |
WOS研究方向 | Oceanography |
语种 | 英语 |
出版者 | SPRINGER |
WOS记录号 | WOS:000459469100003 |
内容类型 | 期刊论文 |
源URL | [http://ir.fio.com.cn:8080/handle/2SI8HI0U/10988] |
专题 | 业务部门_海洋环境与数值模拟研究室 |
作者单位 | 1.Ocean Univ China, Coll Ocean & Atmospher Sci, Qingdao 266100, Peoples R China 2.Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Peoples R China 3.Pilot Natl Lab Marine Sci & Technol Qingdao, Lab Reg Oceanog & Numer Modeling, Qingdao 266071, Peoples R China 4.Minist Nat Resources, Key Lab Marine Sci & Numer Modeling, Qingdao 266061, Peoples R China |
推荐引用方式 GB/T 7714 | Zhao, Yiding,Yin, Xunqiang,Song, Yajuan,et al. Seasonal prediction skills of FIO-ESM for North Pacific sea surface temperature and precipitation[J]. ACTA OCEANOLOGICA SINICA,2019,38(1):5-12. |
APA | Zhao, Yiding,Yin, Xunqiang,Song, Yajuan,&Qiao, Fangli.(2019).Seasonal prediction skills of FIO-ESM for North Pacific sea surface temperature and precipitation.ACTA OCEANOLOGICA SINICA,38(1),5-12. |
MLA | Zhao, Yiding,et al."Seasonal prediction skills of FIO-ESM for North Pacific sea surface temperature and precipitation".ACTA OCEANOLOGICA SINICA 38.1(2019):5-12. |
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