国家气候中心全球海洋资料四维同化系统在热带太平洋的结果初步分析
A global 4-dimensional ocean data assimilation system and the studies on its results in the tropic Pacific
-
摘要: 介绍了国家气候中心(NCC)“全球海洋资料四维同化系统”(简称NCC-GODAS).该系统包含观测资料预处理系统、插值分析系统和所应用的动力模式.插值分析系统采用四维同化技术方案,在时间上设置一个4周的窗口,将此窗口之内的观测资料以一定的权重插入插值分析系统,在空间上采用三维变分方案.海洋动力模式为“九五”期间LASG研制的L30T63OGCM 1 0版本.文中考察了该系统从1982年到2003年3月在热带太平洋的部分同化分析结果,并与NCEP的再分析资料和EMC/NCEP的太平洋区域海洋资料同化系统的结果进行了对比分析.结果显示,该系统的同化结果(如SST,SSTA,Nino指数,次表层海温变化等)与NCEP的同期同化结果具有很好的一致性.同时,该系统得出的海洋同化资料气候场与海洋模式气候场相比,有显著的改进.表明该系统具有较好的同化能力,其同化结果可为海-气耦合模式进行季节和跨季节的气候预测业务提供可信的海洋初始场资料,同时还可以为相关研究提供海洋分析场.Abstract: We introduce a global 4-dim ensional ocean data assmiilation system,as one part of operational dynamic model system of National Climate Center,which is routinely serving the marine initial fields for operational dynamic model system.Th is system mainly contains 4 parts such as pretreating data,variation interpo lating and ocean dynamic model and post-treating.Pretreating data inc ludes collect ing data,decoding data and data quality control.A3-dmi ensional variation method is used in our system on the spatial.Meanwhile,a time-window,about 4-weeks,is opened in order to obtain asmore observation information as possible.L30T63OGCM Version 1.0,which is established and developed by LASG,is selected as the dynamic model of our system.Using the observation data from 1981 to 2003,we have performed a series of numerical expermients on this system.It is illustrated that the results of this system in the region of the middle Pacific,for instances SST,SSTA,Nino index,sub-surface temperature,etc.,are coincided with corresponding results of NCEP's very well.Therefore,this system's results can be used as the initial fields of relevant ocean dynamic model system as well as a kind of reanaly zed data sets.
-
Key words:
- ocean data assmiilation /
- data pretreating /
- dynamical ocean model /
- 3-dmiensional variation /
- tmie-window /
- SST
-
MILLERRN.Toward the application of the Kalman filter to regional open ocean model[J].J Phys Oceanogr,1985,16:72-86. THACKER W C,LONG R B.Fitting dynamics to data[J].J Geophys Rev,1987,93:727-768. 韩桂军,方国洪,马继瑞,等.利用伴随法优化非线性潮汐模型的开边界条件.Ⅱ.黄海、东海潮汐资料的同化试验[J].海洋学报,2001,23(2):25-31. 马继瑞,韩桂军,李东.变分伴随数据在表面温度预报中的应用研究[J].海洋学报,2002,24(5):1-7. 张志旭,齐义泉,施平,等.卫星高度计波高资料的同化试验分析[J].海洋学报,2003,25(5):21-38. 吴自库,王丽娅,吕咸青,等.北部湾潮汐伴随同化数值模拟[J].海洋学报,2003,25(2):128-135. 马寨璞,黄大吉,章本照.融合法及其在数据同化中的应用研究[J].海洋学报,2003,25(2):33-41. 吕咸青.数据同化反演风应力拖曳系数以及垂向涡动黏性系数的分布[J].海洋学报,2001,23(1):13-20. DEBER J,ROSATI A.A global data assimilation system[J].J Phys Oceanogr,1989,19:1 333-1 347. BENGTSSON L,GHIL M,KALLEN E.Dynamic Meteorology[M].Springer-Verlag,1981.330. ROBINSON A R,LESLIE W G.Estimation and prediction of oceanic fields[J].Progress in Onceanography,1985,14:485-510. CLANCYRM,POLLACK K D,CUMMINGS J A,et al.A model for oceanographic data assimilation[A].Technical Description of the Optimal Interpolation System (OTIS):Version 1 Fleet[M].Numerical Oceanography Center,Monterey,CA,1988. JI M,LEETMAA A,DEBER J.An ocean analysis system for seasonal to interannual climate studies[J].Mon Wea Rev,1995,123:1 881-1821. 刘益民,周江兴,马强.太平洋印度洋四维海洋同化系统[A].短期气候预测业务动力模式的研制[M].北京:气象出版社,2000. 张学洪,赵其庚,杨修群,等.海洋环流-海冰模式和海气耦合研究进展[A].短期气候预测业务动力模式的研制[M].北京:气象出版社,2000. 金向泽,俞永强,张学洪,等.L30T63海洋模式模拟的热盐环流和风生环流[A].短期气候预测业务动力模式的研制[M].北京:气象出版社,2000. 赵其庚.海洋环流及海气耦合系统的数值模拟[M].北京:气象出版社,1999. 丑纪范.四维同化的理论和新方法[A].廖洞贤,柳崇键.数值天气预报中的若干新技术[C].北京:气象出版社,1993.262-294. 南京大学数学系.最优化方法[M].北京:科学出版社,1987. LEVITUSS.Climatological Atlas of the World Ocean[R].NOAAProfPaper,1982,(13):173. REYNOLDS R W,RAYNER N A,SMITH T M,et al.An improved in situ and satellite SST analysis for climate [J].J Climate,2002,15:1609-1 625. 许建平.阿尔戈(Argo)全球海洋观测大探秘[M].北京:海洋出版社,2002.115. -
点击查看大图
计量
- 文章访问数: 741
- HTML全文浏览量: 9
- PDF下载量: 939
- 被引次数: 0
下载:
