The research described in this publication was carried out, in part, at the Jet Propulsion Laboratory (JPL), California Institute of Technology, under a contract with the National Aeronautics and Space Administration (NASA). Computations were performed on the SGI Origin computer through the JPL Supercomputing Project. We are grateful to Dr. James Doyle at the Navy Research Laboratory for preparing the atmospheric forcing from the Coupled Ocean/Atmospheric Model Prediction System (COAMPS). We thank Drs. Patrick Marchesiello and Xavier Capet at the University of California, Los Angeles, for their help with the ROMS setup. Thanks also go to Dr. Jichun Li at the University of Nevada, Las Vegas, and Dr. Kayo Ide at the University of California, Los Angeles, for stimulating discussions. The authors thank Dr. John Farrara for his careful review of the manuscript. Dr. Watterson and one anonymous reviewer are acknowledged for their insightful comments. Support from the Office of Naval Research (ONR) through the Autonomous Ocean Sampling Network (AOSN) project is also acknowledged.
Arakawa, A., , and V. R. Lamb, 1977: Computational design of the basic dynamical processes of the UCLA general circulation model. Methods in Computational Physics, J. Chang, Ed., Vol. 17, Academic Press, 173–265.
Bijlsma, S. J., , L. M. Hafkenscheid, , and P. Lynch, 1986: Computation of the streamfunction and velocity potential and reconstruction of the wind fields. Mon. Wea. Rev., 114 , 1547–1551.
Blayo, E., , and L. Debreu, 1999: Adaptative mesh refinement for finite-difference ocean models: First experiments. J. Phys. Oceanogr., 29 , 1239–1250.
Cohn, S. E., 1997: Estimation theory for data assimilation problems: Basic conceptual framework and some open questions. J. Meteor. Soc. Japan, 75 , 257–288.
Daley, R., 1991: Atmospheric Data Assimilation. Cambridge Atmospheric and Space Science Series, Cambridge University Press, 457 pp.
Hodur, R. M., 1997: The Naval Research Laboratory’s Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS). Mon. Wea. Rev., 125 , 1414–1430.
Lehoucq, R. B., , D. C. Sorensen, , and C. Yang, 1998: ARPACK Users’ Guide: Solution of Large-Scale Eigenvalue Problems with Implicitly Restarted Arnoldi Methods. Software, Environments, and Tools, Vol. 6, SIAM, 160 pp.
Lorenc, A. C., and Coauthors, 2000: The Met Office global 3-dimensional variational data assimilation scheme. Quart. J. Roy. Meteor. Soc., 126 , 2991–3012.
Marchesiello, P., , J. C. McWilliams, , and A. F. Shchepetkin, 2001: Open boundary conditions for long-term integration of regional ocean models. Ocean Modell., 3 , 1–20.
Marchesiello, P., , J. C. McWilliams, , and A. Shchepetkin, 2003: Equilibrium structure and dynamics of the California current system. J. Phys. Oceanogr., 33 , 753–783.
Sangster, W. E., 1960: A method of representing the horizontal pressure force without reduction of pressures to sea level. J. Meteor., 17 , 166–176.
Shchepetkin, A. F., , and J. C. McWilliams, 1998: Quasi-monotone advection schemes based on explicit locally adaptive dissipation. Mon. Wea. Rev., 126 , 1541–1580.
Shchepetkin, A. F., , and J. C. McWilliams, 2003: A method for computing horizontal pressure-gradient force in an ocean model with a non-aligned vertical coordinate. J. Geophys. Res., 108 .3090, doi:10.1029/2001JC001047.
Shukla, J., , and K. R. Saha, 1974: Computation of non-divergent streamfunction and irrotational velocity potential from the observed winds. Mon. Wea. Rev., 102 , 419–425.