Impact of SARAL/AltiKa-Derived Sea Level Anomaly in a Data Assimilative Ocean Prediction System for the Indian Ocean

被引：6
|
作者：
Ratheesh, Smitha [1 ]
Sharma, Rashmi [1 ]
Prasad, K. V. S. R. [2 ]
Basu, Sujit [1 ,3 ]
机构：
[1] Ctr Space Applicat, Ocean Sci Div, Ahmadabad 380015, Gujarat, India
[2] Andhra Univ, Dept Meteorol & Oceanog, Visakhapatnam, Andhra Pradesh, India
[3] Ctr Space Applicat, Ahmadabad 380015, Gujarat, India
来源：
MARINE GEODESY | 2015年 / 38卷
关键词：
Data assimilation; SARAL; AltiKa altimeter; Thermocline Depth; MODEL;
D O I：
10.1080/01490419.2014.988833
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
The impact of SARAL/AltiKa derived sea level anomaly (SLA) has been studied by assimilating it along with Jason-2 and Cryosat-2 SLA in the Princeton Ocean model (POM) using ensemble optimal interpolation (EnOI) technique. For isolating the extra benefit brought by SARAKL/Altika, a parallel run with assimilation of only Jason-2 and Cryosat-2 SLA has also been conducted. The importance of SARAL SLA in a data assimilative ocean prediction system has been evaluated with special emphasis on the improvement in thermocline depth, depth of the 20 degrees isotherm, subsurface temperature and currents. Comparison with RAMA buoy has shown a positive impact of up to 13% for 20 degrees C isotherm and up to 17% for thermocline depth after assimilating SARAL SLA. An overall improvement in temperature profile is also observed when compared with analogous profiles from RAMA buoys and Argo floats. Improvement in zonal currents away from the equator has also been noticed.
引用
收藏
页码：354 / 364
页数：11
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