Validation Test Report for OCEANS 1.0: The 1/40 Global, Reduced Gravity NRL Layered Ocean Model

1998 ◽  
Author(s):  
E. J. Metzger ◽  
Robert C. Rhodes ◽  
Dong S. Ko ◽  
Harley E. Hurlburt
2007 ◽  
Author(s):  
Charlie N. Barron ◽  
A. B. Kara ◽  
Robert C. Rhodes ◽  
Clark Rowley ◽  
Lucy F. Smedstad

1991 ◽  
Vol 29 (2) ◽  
pp. 256-287 ◽  
Author(s):  
Hernan G. Arango ◽  
Robert O. Reid
Keyword(s):  

2012 ◽  
Author(s):  
W. E. Rogers ◽  
James D. Dykes ◽  
David Wang ◽  
Suanne N. Carroll ◽  
Kim Watson

2015 ◽  
Author(s):  
Sherwin Ladner ◽  
Richard Crout ◽  
Adam Lawson ◽  
Paul Martinolich ◽  
Jennifer Bowers ◽  
...  

MAUSAM ◽  
2021 ◽  
Vol 48 (4) ◽  
pp. 669-678
Author(s):  
RAJ KUMAR ◽  
SUJIT BASU ◽  
B. S. GOHIL ◽  
P. C. PANDEY

 This paper discusses import of ERS-1 scatterometer winds and assimilation of sea level variability data derived from TOPEX altimeter on the ocean model using adjoint approach. The model developed for the purpose is linear reduced gravity model for the north-western Indian ocean. Experiments have been done with forcing provided using ERS-l satellite scatterometer and analysed wind forcing provided by Florida State University (FSU). Impact on the model has been studied using the analysed wind stress as well as with ERS-l scatterometer-derived wind stress fields. The cost function has been defined as difference between the model derived sea level and altimeter observations. This misfit between model and observations has been minimised with the model equations as constraints. Assimilation has been done for 30 days using scatterometer wind forcing. It has been observed that assimilated sea level with scatterometer-derived wind forcing gives much better results in comparison to unassimilated sea level.    


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