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@STRING{AP = {Academic Press}}

@STRING{AREPS = {Annual Review of Earth Planetary Science}}

@STRING{ARFM = {Annual Review of Fluid Mechanics}}

@STRING{ASL = {Atmospheric Science Letters}}

@STRING{AW = {Addison-Wesley}}

@STRING{CP = {Clarendon Press}}

@STRING{CD = {Clim. Dyn.}}

@STRING{CUP = {Cambridge University Press}}

@STRING{CSR = {Cont. Shelf Res.}}

@STRING{D = {Dover Publications}}

@STRING{DAO = {Dyn. Atmos. Ocean}}

@STRING{DSR = {Deep-Sea Res.}}

@STRING{E = {Eyrolles}}

@STRING{EFM ={Environ. Fluid Mech.}}

@STRING{GRL = {Geophys. Res. Let.}}

@STRING{I = {Interscience}}

@STRING{JAOT = {J. Atmos. Ocean Tech.}}

@STRING{JAS = {J. Atmos. Sc.}}

@STRING{JC = {J. Climate}}

@STRING{JCP = {J. Comput. Phys.}}

@STRING{JFM = {J. Fluid Mech.}}

@STRING{JGR = {J. Geophys. Res}}

@STRING{JHUP = {The Johns Hopkins University Press}}

@STRING{JMR = {J. Mar. Res.}}

@STRING{JMS = {J. Mar. Sys.}}

@STRING{JMSJ = {J. Met. Soc. Japan}}

@STRING{JPO = {J. Phys. Oceanogr.}}

@STRING{JSC = {J. Supercomputing.}}

@STRING{JWS = {John Wiley and Sons}}

@STRING{M = {Macmillan}}

@STRING{MGH = {McGraw-Hill}}

@STRING{MWR = {Mon. Wea. Rev.}}

@STRING{Nature = {Nat.}}

@STRING{NH = {North-Holland}}

@STRING{Ocean = {Oceanology}}

@STRING{OD = {Ocean Dyn.}}

@STRING{OM = {Ocean Modelling}}

@STRING{OS = {Ocean Sc.}}

@STRING{OUP = {Oxford University Press}}

@STRING{PH = {Prentice-Hall}}

@STRING{PO = {Prog. Oceangr.}}

@STRING{PP = {Pergamon Press}}

@STRING{PRSL = {Proceedings of the Royal Society of London}}

@STRING{QJRMS = {Quart. J. Roy. Meteor. Soc.}}

@STRING{Recherche = {La Recherche}}

@STRING{RGSP = {Rev. Geophys. Space Phys.}}

@STRING{Science = {Science}}

@STRING{SV = {Springer-Verlag}}

@STRING{Tellus = {Tellus}}


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   and A. Noda and S. B. Power and E. Roeckner and G. Russell and E.K. Schneider 
   and R.J. Stouffer and L. Terray and J.-S. von Storch},
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@ARTICLE{Canuto_2001,
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@article{de_lavergne_JPO2016_mixing,
   author = {C. de Lavergne and G. Madec and J. Le Sommer and A. J. G. Nurser and A. C. Naveira Garabato },
   title = {On Antarctic Bottom Water consumption in the abyssal ocean},
   issn = {0022-3670},
   url = {http://dx.doi.org/10.1175/JPO-D-14-0201.1},
   doi = {10.1175/JPO-D-14-0201.1},
   abstract = {In studies of ocean mixing, it is generally assumed that small-scale turbulent overturns lose 15-20 \% of their energy in eroding the background stratification. Accumulating evidence that this energy fraction, or mixing efficiency Rf, significantly varies depending on flow properties challenges this assumption, however. Here, we examine the implications of a varying mixing efficiency for ocean energetics and deep water mass transformation. Combining current parameterizations of internal wave-driven mixing with a recent model expressing Rf as a function of a turbulence intensity parameter Reb = εν/νN2, we show that accounting for reduced mixing efficiencies in regions of weak stratification or energetic turbulence (high Reb) strongly limits the ability of breaking internal waves to supply oceanic potential energy and drive abyssal upwelling. Moving from a fixed Rf = 1/6 to a variable efficiency Rf(Reb) causes Antarctic Bottom Water upwelling induced by locally-dissipating internal tides and lee waves to fall from 9 to 4 Sv, and the corresponding potential energy source to plunge from 97 to 44 GW. When adding the contribution of remotely-dissipating internal tides under idealized distributions of energy dissipation, the total rate of Antarctic Bottom Water upwelling is reduced by about a factor of 2, reaching 5-15 Sv compared to 10-33 Sv for a fixed efficiency. Our results suggest that distributed mixing, overflow-related boundary processes and geothermal heating are more effective in consuming abyssal waters than topographically-enhanced mixing by breaking internal waves. Our calculations also point to the importance of accurately constraining Rf(Reb) and including the effect in ocean models.},
   journal = {Journal of Physical Oceanography},
   year = {2016},
   volume = {46},  pages = {635-–661}
}

@article{de_lavergne_JPO2016_efficiency,
   author = {C. de Lavergne and G. Madec and J. Le Sommer and A. J. G. Nurser and A. C. Naveira Garabato },
   title = {The impact of a variable mixing efficiency on the abyssal overturning},
   issn = {0022-3670},
   url = {http://dx.doi.org//10.1175/JPO-D-14-0259.1},
   doi = {10.1175/JPO-D-14-0259.1},
   abstract = {In studies of ocean mixing, it is generally assumed that small-scale turbulent overturns lose 15-20 \% of their energy in eroding the background stratification. Accumulating evidence that this energy fraction, or mixing efficiency Rf, significantly varies depending on flow properties challenges this assumption, however. Here, we examine the implications of a varying mixing efficiency for ocean energetics and deep water mass transformation. Combining current parameterizations of internal wave-driven mixing with a recent model expressing Rf as a function of a turbulence intensity parameter Reb = εν/νN2, we show that accounting for reduced mixing efficiencies in regions of weak stratification or energetic turbulence (high Reb) strongly limits the ability of breaking internal waves to supply oceanic potential energy and drive abyssal upwelling. Moving from a fixed Rf = 1/6 to a variable efficiency Rf(Reb) causes Antarctic Bottom Water upwelling induced by locally-dissipating internal tides and lee waves to fall from 9 to 4 Sv, and the corresponding potential energy source to plunge from 97 to 44 GW. When adding the contribution of remotely-dissipating internal tides under idealized distributions of energy dissipation, the total rate of Antarctic Bottom Water upwelling is reduced by about a factor of 2, reaching 5-15 Sv compared to 10-33 Sv for a fixed efficiency. Our results suggest that distributed mixing, overflow-related boundary processes and geothermal heating are more effective in consuming abyssal waters than topographically-enhanced mixing by breaking internal waves. Our calculations also point to the importance of accurately constraining Rf(Reb) and including the effect in ocean models.},
   journal = {Journal of Physical Oceanography},
   year = {2016},
   volume = {46},  pages = {663-–681}
}

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  year = {2001},
  editor = {P.F. Hodnett}
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   and Y. Gao and N. Gruber and M. W. Hecht and A. Ishida and F. Joos
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   and R. Schlitzer and R. Slater and I.J. Totterdell and M.-F. Weirig
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   the circulation of the Western Mediterranean Sea. Oceanologica Acta,
   18, 2, 255-271.},
  title = {EUROMODEL Group (P.M. Lehucher, L. Beautier, M. Chartier, F. Martel,
   L. Mortier, P. Brehmer, C. Millot, C. Alberola, M. Benzhora, I. Taupier-Letage,
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   the circulation of the Western Mediterranean Sea.},
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@PHDTHESIS{Farge1987,
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@ARTICLE{Farrow1995,
  author = {D. E. Farrow and D. P. Stevens},
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@ARTICLE{Flather1976,
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@ARTICLE{Flather_JPO94,
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 year = {1994},
 title = {A storm surge prediction model for the northern Bay of Bengal with application to the cyclone disaster in April 1991},
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 volume = {24},
 pages = {172--190}
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@Article{Gentemann_al_JGR09,
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  year =     {2009},
  Volume =   {114},
  Pages =    {C07017},
  doi =   {10.1029/2008JC004825},
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   Pages = {211--226},
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@article{goff_JGR2010,
   author = {J. A. Goff},
   title = {Global prediction of abyssal hill root-mean-square heights from small-scale altimetric gravity variability},
   issn = {2156-2202},
   url = {http://dx.doi.org/10.1029/2010JB007867},
   doi = {10.1029/2010JB007867},
   abstract = {Abyssal hills, which are pervasive landforms on the seafloor of the Earth's oceans, represent a potential tectonic record of the history of mid-ocean ridge spreading. However, the most detailed global maps of the seafloor, derived from the satellite altimetry-based gravity field, cannot be used to deterministically characterize such small-scale ({\textless}10 km) morphology. Nevertheless, the small-scale variability of the gravity field can be related to the statistical properties of abyssal hill morphology using the upward continuation formulation. In this paper, I construct a global prediction of abyssal hill root-mean-square (rms) heights from the small-scale variability of the altimetric gravity field. The abyssal hill-related component of the gravity field is derived by first masking distinct features, such as seamounts, mid-ocean ridges, and continental margins, and then applying a newly designed adaptive directional filter algorithm to remove fracture zone/discontinuity fabric. A noise field is derived empirically by correlating the rms variability of the small-scale gravity field to the altimetric noise field in regions of very low relief, and the noise variance is subtracted from the small-scale gravity variance. Suites of synthetically derived, abyssal hill formed gravity fields are generated as a function of water depth, basement rms heights, and sediment thickness and used to predict abyssal hill seafloor rms heights from corrected small-scale gravity rms height. The resulting global prediction of abyssal hill rms heights is validated qualitatively by comparing against expected variations in abyssal hill morphology and quantitatively by comparing against actual measurements of rms heights. Although there is scatter, the prediction appears unbiased.},
   volume = {115},
   number = {B12},
   journal = {Journal of Geophysical Research: Solid Earth},
   year = {2010},
   pages = {B12104},
}

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TITLE = {NEMO-ICB (v1.0): interactive icebergs in the NEMO ocean model globally configured at eddy-permitting resolution},
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