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典型文献
Some progress on ocean data assimilation in China: Introduc-tion of the special section "Ocean Data Assimilation"
文献摘要:
This special section is the scientific legacy of the 13th National Ocean Data Assimilation and Numerical Simulation Conference of China, which was held in Changsha, China during December 3–4, 2020 with more than 160 participants from 35 units in China. It continued a series of National Ocean Data Assimilation conferences which began in 2003, which played an important role in the development of ocean data assimilation in China. In this 13th conference, there were 41 oral presentations and 15 posters, which focused on ocean data assimilation methods, ocean reanalysis data, developments and operational application of ocean data assimilation systems, assimilation of new type ocean observations, ocean targeted observation analysis, coupled data assimilation, ocean models and parameter estimation, etc. This conference was hosted by National University of Defense Technology, and co-hosted by the Institute of Atmospheric Physics of Chinese Academy of Sciences, the South China Sea Institute of Oceanology of Chinese Academy of Sciences, the Second Institute of Oceanography of the Ministry of Natural Resources, Ocean University of China, Tianjin University and Hohai University.
文献关键词:
作者姓名:
Huizan Wang;Yan Chen;Weimin Zhang
作者机构:
College of Meteorology and Oceanography,National University of Defense Technology,Changsha 410073,China
引用格式:
[1]Huizan Wang;Yan Chen;Weimin Zhang-.Some progress on ocean data assimilation in China: Introduc-tion of the special section "Ocean Data Assimilation")[J].海洋学报(英文版),2022(02):1-2
A类:
Introduc,posters,Oceanology,Hohai
B类:
Some,progress,ocean,data,assimilation,China,special,section,Data,Assimilation,This,scientific,legacy,13th,National,Numerical,Simulation,Conference,which,was,held,Changsha,during,December,more,than,participants,from,units,It,continued,series,conferences,began,played,important,role,this,there,were,oral,presentations,focused,methods,reanalysis,developments,operational,application,systems,new,type,observations,targeted,coupled,models,parameter,estimation,etc,hosted,by,University,Defense,Technology,Institute,Atmospheric,Physics,Chinese,Academy,Sciences,South,Sea,Second,Oceanography,Ministry,Natural,Resources,Tianjin
AB值:
0.489425
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