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Chinese Academy of Sciences Institutional Repositories Grid
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
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
DOI10.1007/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
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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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