Editorial Type:
Article
Article Type:
Research Article

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

Hans Ngodock Naval Research Laboratory, Stennis Space Center, Mississippi

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Matthew Carrier Naval Research Laboratory, Stennis Space Center, Mississippi

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Print Publication:
01 Jun 2014
DOI:
https://doi.org/10.1175/MWR-D-13-00220.1
Page(s):
2108–2117
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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.

Naval Research Laboratory Contribution Number JA/7320-13-13-1822.

Corresponding author address: Hans Ngodock, Naval Research Laboratory, Code 7321, Stennis Space Center, MS 39529. E-mail: hans.ngodock@nrlssc.navy.mil

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.

Naval Research Laboratory Contribution Number JA/7320-13-13-1822.

Corresponding author address: Hans Ngodock, Naval Research Laboratory, Code 7321, Stennis Space Center, MS 39529. E-mail: hans.ngodock@nrlssc.navy.mil
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