Assimilation of the AVISO Altimetry Data into the Ocean Dynamics Model with a High Spatial Resolution Using Ensemble Optimal Interpolation (EnOI)

被引：8
|
作者：
Kaurkin, M. N. [1 ,2 ,3 ]
Ibrayev, R. A. [1 ,2 ,3 ,4 ]
Belyaev, K. P. [3 ,5 ]
机构：
[1] Hydrometeorol Res Ctr Russian Federat, Moscow 123242, Russia
[2] Russian Acad Sci, Inst Numer Math, Moscow 119333, Russia
[3] Russian Acad Sci, Shirshov Inst Oceanol, Moscow 117997, Russia
[4] Moscow Inst Phys & Technol, Dolgoprudnyi 141701, Moscow Oblast, Russia
[5] Russian Acad Sci, Dorodnitsyn Fed Res Ctr Informat & Management, Moscow 119333, Russia
来源：
IZVESTIYA ATMOSPHERIC AND OCEANIC PHYSICS | 2018年 / 54卷 / 01期
基金：
俄罗斯科学基金会;
关键词：
ocean modeling; data assimilation; ensemble optimal interpolation; satellite data; AVISO; ARGO; OBSERVATIONAL DATA; CIRCULATION MODEL; NORTH-ATLANTIC; SEA; SENSITIVITY; CURRENTS; SYSTEM; HYCOM;
D O I：
10.1134/S0001433818010073
中图分类号：
P4 [大气科学（气象学）];
学科分类号：
0706 ; 070601 ;
摘要：
A parallel realization of the Ensemble Optimal Interpolation (EnOI) data assimilation (DA) method in conjunction with the eddy-resolving global circulation model is implemented. The results of DA experiments in the North Atlantic with the assimilation of the Archiving, Validation and Interpretation of Satellite Oceanographic (AVISO) data from the Jason-1 satellite are analyzed. The results of simulation are compared with the independent temperature and salinity data from the ARGO drifters.
引用
收藏
页码：56 / 64
页数：9
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