Fall AGU Meeting (Dec. 2002) COAST abstracts:

• Allen
  
• Bane et al.
  
• Barth et al.
  
• Carney et al.
  
• Couch et al.
  
• Cowles et al.
  
• Dale et al.
  
• Durski et al.
  
• Egbert et al.
  
• Gan et al.
  
• Hales et al.
  
• Kosro et al.
  
• Kuebel et al.
  
• Kurapov et al.
  
• Perlin et al.
  
• Pierce et al.
  
• Ruttenberg et al.
  
• Samelson
  
• Spitz et al.
  
• Wheeler
  

Abstracts should be cited as:

EOS Trans. AGU, 83 (47),
Fall Meet. Suppl.,
Abstract XXXXX-XX, 2002

OS71F-02

Data Assimilative Studies of Coastal Circulation off Oregon

A L Kurapov, J S Allen, G D Egbert, P M Kosro, M D Levine, and T Boyd

A data assimilation system (DAS), which combines a dynamical model
and available data to provide an estimate of the time-varying
three-dimensional circulation, will be an essential component of
an operational coastal observatory. Data collected in recent years
off the Oregon coast provide an opportunity to build and validate
a prototype DAS. The COAST data set for spring-summer 2001 includes
time series of currents (from HF radars and moorings), temperature
and salinity with substantial horizontal and vertical coverage. A
data assimilative model of circulation on the Oregon shelf utilizing
a sequential optimal interpolation algorithm incorporated into the
Princeton Ocean Model (POM) is being applied to this data set. The
assimilation method requires an estimate of a stationary forecast
error covariance to allow correction of the forecast solution
based on model-data differences. Our focus is presently on (a)
understanding the sensitivity of the assimilation solution to
the choice of the forecast error covariance and other constructs
introduced by the DA scheme, (b) examining the effectiveness of
constraining temperature and salinity fields by assimilating
velocity from HF radars and/or moorings, and (c) optimal data
sampling strategies.