source: NEMO/trunk/doc/latex/NEMO/main/NEMO_manual.bib @ 10468

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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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@IEEEtranBSTCTL{IEEEexample:BSTcontrol,
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}

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   and T.C. Johns and H. Le Treut and G. Madec and G.A. Meehl and R. Miller 
   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},
  title = {The seasonal cycle in coupled ocean-atmosphere general circulation models},
  journal = CD,
  year = {2000},
  volume = {16},
  pages = {775--787}
}

@ARTICLE{Canuto_2001,
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  journal = OM,
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}

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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},
   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},
   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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  school = {Doctorat es Applied Mathematiques, Grenoble University, France},
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}

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}

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   and N. Gruber and A. Ishida and F. Joos and G. Madec and E. Maier−Reimer
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   R. Najjar and J.C. Orr and G.−K. Plattner and J. Sarmiento and R.
   Schlitzer and R. Slater and I.J. Totterdell and M.−F. Weirig and
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  pages = {GB3017},
  doi = {10.1029/2003GB002150},
}

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   Shenoi and C. Eth\'{e} and G. Madec},
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  doi = {10.1029/2003GL018906},
}

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  author = {D.R. Durran },
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  year = {2001},
  editor = {P.F. Hodnett}
}

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   Najjar and K. Caldeira and J.-M. Campin and H. Drange and M. Follows
   and Y. Gao and N. Gruber and M. W. Hecht and A. Ishida and F. Joos
   and K. Lindsay and G. Madec and E. Maier-Reimer and J.C. Mashall
   and R. J. Matear and P. Monfray and G.-K. Plattner and J. Sarmiento
   and R. Schlitzer and R. Slater and I.J. Totterdell and M.-F. Weirig
   and Y. Yamanaka and A. Tool},
  title = {Evaluation of ocean model ventilation with CFC-11: comparison of
   13 global ocean models},
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  year = {2002},
  volume = {4},
  pages = {89--120}
}

@ARTICLE{Dutay_al_EFM09,
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  pages = {257--273},
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@ARTICLE{Dutay.J.C2004,
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   and Y. Yamanaka and K. Rodgers and G. Madec and J.C. Orr},
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}

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@ARTICLE{Egbert_Ray_Nat00,
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}

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   C. Herbaut, G. Madec, S. Speich, J. Nihoul, J. M. Beckers, P. Brasseur,
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   and A. Harzallah)},
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}

@PHDTHESIS{Farge1987,
  author = {M. Farge},
  title = {Dynamique non lineaire des ondes et des tourbillons dans les equations de Saint Venant},
  school = {Doctorat es Mathematiques, Paris VI University, France},
  year = {1987},
  pages = {401pp}
}

@ARTICLE{Farrow1995,
  author = {D. E. Farrow and D. P. Stevens},
  title = {A new tracer advection scheme for Bryan--Cox type ocean general circulation
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  year = {1995},
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}

@ARTICLE{Flather1976,
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}

@ARTICLE{Flather_JPO94,
 author = {R.A. Flather},
 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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}

@ARTICLE{Fujio1991,
  author = {S. Fujio and N. Imasato},
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}

@ARTICLE{Galperin_al_JAS88,
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}

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}

@ARTICLE{Gaspar1990,
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}

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@Article{Gentemann_al_JGR09,
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  title =        {Profiles of Ocean Surface heating ({POSH}): A new model 
                  of upper ocean diurnal warming},
  journal =     JGR,
  year =     {2009},
  Volume =   {114},
  Pages =    {C07017},
  doi =   {10.1029/2008JC004825},
  OPTannote =   {}
}

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  volume = {98}
}

@ARTICLE{Gerdes1993b,
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}

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   Volume = {5},
   Year = {1991},
}
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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},
   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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  year = {2007},
  volume = {34},
  pages = {L05609},
  doi = {10.1029/2006GL028210},
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}

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@ARTICLE{Griffies_al_OM09,
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  volume = {34},
  pages = {L08706},
  doi = {10.1029/2007GL029275},
}

@ARTICLE{Williams_al_CD06,
  author = {P.D. Williams and E. Guilyardi and R. Sutton and J.M. Gregory and G. Madec},
  title = {On the climate response of the low-latitude Pacific ocean to changes in the global freshwater cycle},
  journal = CD,
  year = {2006},
  volume = {27},
  pages = {593--611}
}

@ARTICLE{Zalesak_JCP79,
  author = {S. T. Zalesak},
  title = {Fully multidimensional flux corrected transport algorithms for fluids},
  journal = JCP,
  year = {1979},
  volume = {31}
}

@ARTICLE{Zhang_Endoh_JGR92,
  author = {Zhang, R.-H. and Endoh, M.},
  title = {A free surface general circulation model for the tropical Pacific Ocean},
  journal = JGR,
  year = {1992},
  volume = {97},
  pages = {11,237--11,255}
}

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