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Bibliography

The following references list follows the the American Meteorological Society (AMS) guidelines for citation style (PDF).

Contents

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

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Arango, H. G., A. M. Moore, A. J. Miller, B. D. Cornuelle, E. Di Lorenzo, and D. J. Neilson, 2003: The ROMS Tangent Linear and Adjoint Models: A comprehensive ocean prediction and analysis system, IMCS Technical Reports, Rutgers University, 69pp. (PDF)

Arbic, B.K., Garner, S.T., Hallberg, R.W. and Simmons, H.L., 2004. The accuracy of surface elevations in forward global barotropic and baroclinic tide models. Deep Sea Research Part II: Topical Studies in Oceanography, 51(25-26), pp. 3069-3101.

Arbic, B.K., Alford, M.H., Ansong, J.K., Buijsman, M.C., Ciotti, R.B., Farrar, J.T., Hallberg, R.W., Henze, C.E., Hill, C.N., Luecke, C.A. and Menemenlis, D., 2018. Primer on Global Internal Tide and Internal Gravity Wave Continuum Modeling in HYCOM and MITgcm. In: New Frontiers in Operational Oceanography, E. Chassignet, A. Pascual, J. Tintoré and J. Verron (Eds.), GODAE OceanView, 307-392, doi: 10.17125/gov2018.ch13

B

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Bissett, W. P., K. L. Carder, J. J. Walsh, D. A. Dieterle, 1999b: Carbon cycling in the upper waters of the Sargasso Sea: II. Numerical simulation of apparent and inherent optical properties, Deep-Sea Res., 46, 271-317.

Bissett, W., Arnone, R., DeBra, S., Dieterle, D., Dye, D., Kirkpatrick, G., Schofield, O. and Vargo, G., 2005. Predicting the optical properties of the West Florida Shelf: Resolving the potential impacts of a terrestrial boundary condition on the distribution of colored dissolved and particulate matter. Marine Chemistry, 95(3-4), 199-233.

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C

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D

Daley, R., 1991: Atmospheric Data Analysis, Cambridge Atmospheric and Space Science Series, Cambridge University Press, 457 pages.

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Dekshenieks, M.M., E.E. Hofmann, J.M. Klinck, and E.N. Powell, 1996: Modeling the vertical distribution of oyster larvae in response to environmental conditions, Mar. Ecol. Prog. Ser., 136, 97-110.

Dekshenieks, M.M., E.E. Hofmann, J.M. Klinck, and E.N. Powell, 1997: A modeling study of the effect of size- and depth-dependent predation on larval survival, J.Plankton Res., 19, (11), 1583-1598.

Di Lorenzo, E., 2003: Seasonal dynamics of the surface circulation in the southern California Current System, Deep-Sea Res., Part II, 50, 2371-2388.

Di Lorenzo, E., A.M. Moore, H.G. Arango, B.D. Cornuelle, A.J. Miller, B. Powell, B.S. Chua, and A.F. Bennett, 2006: Weak and Strong Constraint Data Assimilation in the inverse Regional Ocean Modeling System (ROMS): development and applications for a baroclinic costal upwelling system, Ocean Modelling, in press.

Dinniman, M. S. and J. M. Klinck, 2002: The influence of open versus periodic alongshore boundaries on circulations near submarine canyons, J. Atmos. Oceanic Tech., 19, 1722-1737 (PDF)

Dinniman, M. S., J. M. Klinck, and W. O. Smith Jr., 2003: Cross shelf exchange in a model of the Ross Sea circulation and biogeochemistry, Deep-Sea Res., Part II, 50, 3103-3120. (PDF)

Dinniman, M. S. and J. M. Klinck, 2004: A model study of circulation and cross shelf exchange on the west Antarctic Peninsula continental shelf, Deep-Sea Res., Part II, 51, 2003-2022. (PDF)

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Doyle, J. D., Q. Jiang, and J. Farrara, 2009: High-resolution atmospheric modeling over the Monterrey Bay during AOSN II, Deep-Sea Res., Part II, 56, 87-99.

Durski, S. M., S. M. Glenn, D. B. Haidvogel, 2004: Vertical mixing schemes in the coastal ocean: Comparison of the Level 2.5 Mellor-Yamada scheme with an enhanced version of the K-profile parameterization, J. Geophys. Res., 109, C01015, doi:10.1029/2002JC001702. (PDF)

E

Egbert, G.D. and Ray, R.D., 2017. Tidal prediction. Journal of Marine Research, 75(3), pp.189-237.

Ezer, T., H. G. Arango and A. F. Shchepetkin, 2002: Developments in terrain-following ocean models: intercomparisons of numerical aspects, Ocean Modelling, 4, 249-267. (PDF)

F

Fairall, C. W., E. F. Bradley, D. P. Rogers, J. B. Edson and G. S. Young, 1996: Bulk parameterization of air-sea fluxes for tropical ocean-global atmosphere Coupled-Ocean Atmosphere Response Experiment, J. Geophys. Res., 101, 3747-3764.

Fairall, C. W., E. F. Bradley, J. E. Hare, A. A. Grachev and J. B. Edson (2003): Bulk parameterization of air-sea fluxes: Updates and verification for the COARE algorithm. J. Clim., 16 (4) 571-591, doi: 10.1175/1520-0442(2003)016<0571:BPOASF>2.0.CO;2.

Fasham, M. J. R., H. W. Ducklow, and S. M. McKelvie, 1990: A nitrogen-based model of plankton dynamics in the oceanic mixed layer, J. Mar. Res., 48, 591-639.

Fedorov, K. N., 1988: Layer thicknesses and effective diffusivities in the diffusive thermocline convection in the ocean, In J.C.J. Nihoul and B.M. Jamart, editors, Small-scale turbulence and mixing in the ocean, pages 471-479, Elsevier, New York.

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Fennel, K., J. Wilkin, J. Levin, J. Moisan, J. O'Reilly, and D. Haidvogel, 2006: Nitrogen cycling in the Middle Atlantic Bight: Results from a three-dimensional model and implications for the North Atlantic nitrogen budget, Global Biogeochem. Cycles, 20, GB3007, doi:10.1029/2005GB002456. (PDF)

Fiechter, J., A.M. Moore, C.A. Edwards, K.W. Bruland, E. Di Lorenzo, C.V.W. Lewis, T.M. Powell, E. Curchitser, and K. Hedstrom, 2009: Modeling iron limitation of primary production in the coastal Gulf of Alaska, Deep_Sea Res. II, 56(24), 2503-2519. (PDF)

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G

Galperin, B., L. H. Kantha, S. Hassid, and A. Rosati, 1988: A quasi-equilibrium turbulent energy model for geophysical flows, J. Atmos. Sci., 45, 55-62.

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H

Haidvogel, D. B. and A. Beckmann, 1999: Numerical Ocean Circulation Modeling. Series on Environmental Science and Management, Vol. 2, Imperial College Press, 319 pp.

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Jackett, D. R. and T. J. McDougall, 1995: Minimal Adjustment of Hydrostatic Profiles to Achieve Static Stability, J. Atmos. Oceanic Techn., 12, 381-389.

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Kantha, L.H., C.A. Clayson, 1994: Nermerical Models of Oceans and Oceanic Processes. In: International Geophysics Series, Vol. 66. Academic Press, San Diego. 940 pp.

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