A new global four-dimensional variational ocean data assimilation system and its application
文献类型:期刊论文
作者 | Liu Juan1,2; Wang Bin1,2; Liu Hailong1; Yu Yongqiang1 |
刊名 | Advances in atmospheric sciences
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出版日期 | 2008-07-01 |
卷号 | 25期号:4页码:680-691 |
关键词 | 3dvm 4dvar Ocean data assimilation Licom Sst |
ISSN号 | 0256-1530 |
DOI | 10.1007/s00376-008-0680-6 |
通讯作者 | Wang bin(wab@lasg.iap.ac.cn) |
英文摘要 | A four-dimensional variational data assimilation (4dvar) system of the lasg/iap climate ocean model, version 1.0 (licom1.0), named licom-3dvm, has been developed using the three-dimensional variational data assimilation of mapped observation (3dvm), a 4dvar method newly proposed in the past two years. two experiments with 12-year model integrations were designed to validate it. one is the assimilation run, called assm, which incorporated the analyzed weekly sea surface temperature (sst) fields from reynolds and smith (oisst) between 1990 and 2001 once a week by the licom-3dvm. the other is the control run without any assimilation, named ctl. assm shows that the simulated temperatures of the upper ocean (above 50 meters), especially the sst of equatorial pacific, coincide with the tropic atmosphere ocean (tao) mooring data, the world ocean atlas 2001 (woa01) data and the met office hadley centre's sea ice and sea surface temperature (hadisst) data. it decreased the cold bias existing in ctl in the eastern pacific and produced a nino index that agrees with observation well. the validation results suggest that the licom-3dvm is able to effectively adjust the model results of the ocean temperature, although it's hard to correct the subsurface results and it even makes them worse in some areas due to the incorporation of only surface data. future development of the licom-3dvm is to include subsurface in situ observations and satellite observations to further improve model simulations. |
WOS关键词 | ECMWF OPERATIONAL IMPLEMENTATION ; GENERAL-CIRCULATION MODEL ; SEA-SURFACE TEMPERATURE ; TROPICAL PACIFIC-OCEAN ; ALTIMETER DATA ; COUPLED MODEL ; NONLINEAR DYNAMICS ; ENSO PREDICTION ; PART I ; INITIALIZATION |
WOS研究方向 | Meteorology & Atmospheric Sciences |
WOS类目 | Meteorology & Atmospheric Sciences |
语种 | 英语 |
WOS记录号 | WOS:000257689200016 |
出版者 | SCIENCE PRESS |
URI标识 | http://www.irgrid.ac.cn/handle/1471x/2392013 |
专题 | 中国科学院大学 |
通讯作者 | Wang Bin |
作者单位 | 1.Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China 2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Liu Juan,Wang Bin,Liu Hailong,et al. A new global four-dimensional variational ocean data assimilation system and its application[J]. Advances in atmospheric sciences,2008,25(4):680-691. |
APA | Liu Juan,Wang Bin,Liu Hailong,&Yu Yongqiang.(2008).A new global four-dimensional variational ocean data assimilation system and its application.Advances in atmospheric sciences,25(4),680-691. |
MLA | Liu Juan,et al."A new global four-dimensional variational ocean data assimilation system and its application".Advances in atmospheric sciences 25.4(2008):680-691. |
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来源:中国科学院大学
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