Cycling the Representer Method for 4D-variational data assimilation with the Navy Coastal Ocean Model

2008 ◽  
Vol 24 (3-4) ◽  
pp. 92-107 ◽  
Author(s):  
S.R. Smith ◽  
H.E. Ngodock
Keyword(s):  
Data Assimilation ◽  
Coastal Ocean ◽  
Ocean Model ◽  
Variational Data Assimilation ◽  
Coastal Ocean Model ◽  
Representer Method

4D-Var data assimilation in a nested, coastal ocean model: A Hawaiian case study

2013 ◽  
Vol 118 (10) ◽  
pp. 5022-5035 ◽  
Author(s):  
I. Janeković ◽  
B. S. Powell ◽  
D. Matthews ◽  
M. A. McManus ◽  
J. Sevadjian
Keyword(s):  
Data Assimilation ◽  
Coastal Ocean ◽  
Ocean Model ◽  
Coastal Ocean Model

scholarly journals A 4DVAR System for the Navy Coastal Ocean Model. Part II: Strong and Weak Constraint Assimilation Experiments with Real Observations in Monterey Bay*

2014 ◽  
Vol 142 (6) ◽  
pp. 2108-2117 ◽  
Author(s):  
Hans Ngodock ◽  
Matthew Carrier
Keyword(s):  
Data Assimilation ◽  
Model Simulation ◽  
Full Range ◽  
Coastal Ocean ◽  
Ocean Model ◽  
Sea Surface ◽  
Real Surface ◽  
Monterey Bay ◽  
Strong Constraint ◽  
Coastal Ocean Model

Abstract A four-dimensional variational data assimilation (4DVAR) system was recently developed for the Navy Coastal Ocean Model (NCOM). The system was tested in the first part of this study using synthetic surface and subsurface data. Here, a full range of real surface and subsurface data is considered following encouraging results from the preliminary test. The data include sea surface temperature and sea surface height from satellite, as well as subsurface observations from gliders deployed during the second Autonomous Ocean Sampling Network field experiment in California’s Monterey Bay. Data assimilation is carried out with strong and weak constraints, and results are compared against independent observations. This study clearly shows that the 4DVAR approach improves the free-running model simulation and that the weak constraint experiment has lower analysis errors than does the strong constraint version.

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