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List of ocean circulation models

From Wikipedia, the free encyclopedia

This is alist ofocean circulation models, as used inphysical oceanography. Ocean circulation models can also be used to study chemical oceanography, biological oceanography, geological oceanography, and climate science.

AcronymFull name
ADCIRCADvancedCIRCulation model
COCOCCSR (Center for Climate System Research)OceanComponentModel
COHERENSCOupledHydrodynamicalEcological model forREgioNalShelf seas
FVCOMFiniteVolumeCommunityOceanModel
FESOMAWIFinite-Element/volumESea ice-OceanModel
FRAMFineResolutionAntarctic OceanModel
HOPETheHamburgOceanPrimitiveEquation General Circulation Model[1]
HYCOMHYbridCoordinateOceanModel
LSGThe HamburgLargeScaleGeostrophic Ocean General Circulation Model[2]
MICOMMiamiIsopycnicCoordinateOceanModel
MITgcmM.I.T.GeneralCirculationModel
MOHIDMOdeloHIDrodinâmico
MOMGFDLModularOceanModel
MOMAMOM forArray Processors
OCCAMOceanCirculation andClimateAdvanced OceanModel
NEMONucleus forEuropeanModelling of theOcean
OPYCTheOcean IsoPYCnal General Circulation Model[3][4]
POMPrincetonOceanModel
POPTheParallelOceanProgram
ROMSTheRegionalOceanModelingSystem
VerosVersatileOceanSimulator in Pure Python[5]

Integrated ocean modeling systems[further explanation needed]

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Integrated ocean modeling systems use multiple coupled models. This coupling allows researchers to understand processes that happen among multiple systems that are usually modeled independently, such as the ocean, atmosphere, waves, and sediments. Integrated ocean modeling systems is helpful for specific regions: for example, the ESPreSSO model is used to study theMid-Atlantic Bight region. Integrated ocean modeling systems often use data frombuoys andweather stations for atmospheric forcing and boundary conditions. Two examples of integrated ocean modeling systems are:

  • COAWST:CoupledOceanAtmosphereWaveSedimentTransport Modeling System[6] (usesROMS as its ocean circulation component).[7]
  • ESPreSSO:ExperimentalSystem forPredictingShelf andSlopeOptics (usesROMS as its ocean circulation component).[8][9]

References

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  1. ^Wolff J-O, Maier-Reimer E, Legutke S (1997) The Hamburg Ocean Primitive Equation Model HOPE. DKRZ report 13, Hamburg, Germany,doi:10.2312/WDCC/DKRZ_Report_No13.
  2. ^Maier-Reimer E, Mikolajewicz U (1992) The Hamburg Large Scale Geostrophic Ocean General Circulation Model (Cycle 1). DKRZ report 2, Hamburg, Germany,doi:10.2312/WDCC/DKRZ_Report_No02.
  3. ^Oberhuber JM (1993) Simulation of the Atlantic circulation with a coupled sea ice-mixed layer-isopycnal general circulation model, part I: model description. Journal of Physical Oceanography, 23, 808–829doi:10.1175/1520-0485(1993)023<0808:SOTACW>2.0.CO;2.
  4. ^Oberhuber JM (1993) The OPYC Ocean General Circulation Model. DKRZ report 7, Hamburg, Germany,doi:10.2312/WDCC/DKRZ_Report_No07.
  5. ^"Versatile Ocean Simulator in Pure Python — documentation".veros.readthedocs.io. Retrieved2021-09-10.
  6. ^Warner, John C.; Armstrong, Brandy; He, Ruoying; Zambon, Joseph B. (2010). "Development of a Coupled Ocean–Atmosphere–Wave–Sediment Transport (COAWST) Modeling System".Ocean Modelling.35 (3):230–244.Bibcode:2010OcMod..35..230W.doi:10.1016/j.ocemod.2010.07.010.hdl:1912/4099.ISSN 1463-5003.
  7. ^"COAWST".coawstmodel-trac.sourcerepo.com. Archived fromthe original on 2019-02-09. Retrieved2019-02-08.
  8. ^Wilkin, John; Zavala-Garay, Javier; Levin, Julia."Integrating modeling and data assimilation using ROMS with a Coastal Ocean Observing System for the US Middle Atlantic Bight"(PDF).Workshop Report: The Australian Coastal and Oceans Modelling and Observations Workshop (ACOMO 2012). p. 3. Archived fromthe original(PDF) on 2017-04-07. Retrieved2016-10-25.
  9. ^"ESPRESSO ocean modeling from Rutgers ROMS group".www.myroms.org. Retrieved2019-02-08.
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