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MITgcm
is a hydrodynamical kernel used for the study of the circulation
of atmosphere and ocean. It has evolved continuously since its
inception. Development efforts are driven by new applications
and the desire to improve model solutions. Model development
often involves more analysis than code-writing.
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MITgcm's non-hydrostatic formulation enables it to
simulate
fluid phenomena over a wide range of scales |
As a result of its non-hydrostatic formulation MITgcm is able
to simulate fluid phenomena over a wide range of scales, from a
tens of meters to planetary scales; its adjoint
capability enables it to be applied to parameter and state
estimation problems. By employing fluid isomorphisms, one
hydrodynamical kernel can be used to seamlessly simulate flow in both the
atmosphere and ocean.
Some of the model developments pioneered by the MITgcm team
include:
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- New vertical coordinates for 3D modeling of shallow water
domains
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- Conservative methods near moving boundaries
enabling accurate representation of the ocean's free surface
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- Superparameterization
tools for efficiently modeling coupled processes with
different resolution requirements
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Click on an icon to read more about the
most recent of these developments here:
Publications:
In press:
Campin, J-M, C. Hill, H. Jones and J. Marshall: Superparameterization in ocean modeling: application to deep
convection. Submitted to Ocean Modeling
Martin Losch, Dimitris Menemenlis, Jean-Michel Campin, Patrick
Heimbach, and Chris Hill. On the formulation of sea-ice models.
Part 1: Effects of different solver implementations and
parameterizations. Ocean Modelling, 33, 129-144,
doi:10.1016/j.ocemod.2009.12.008, 2010.
Patrick Heimbach, Dimitris Menemenlis, Martin Losch, Jean-Michel
Campin, and Chris Hill. On the formulation of sea-ice models.
Part 2: Lessons from multi-year adjoint sea ice export
sensitivities through the Canadian Arctic Archipelago. Ocean
Modelling, 33, 145-158, doi:10.1016/j.ocemod.2010.02.002, 2010.
2008
Campin, J-M., J. Marshall and D. Ferreira
(2008) Sea-ice ocean coupling using a
rescaled vertical coordinate z*.
Ocean Modeling, 24, 1-14.
2007
Adcroft, A.J., Hill, C.N. and J. Marshall, (1997)
Representation of topography by shaved cells in a height coordinate ocean model
Mon Wea Rev, vol 125, 2293-2315
2005
Heimbach, P., C.
Hill and R. Giering,
2005: An efficient exact
adjoint of the parallel
MIT general circulation
model, generated via
automatic
differentiation. Future Generation
Computer Systems,
21(8),
1356-1371, doi:10.1016/j.future.2004.11.010.
2004
Adcroft,
A., J-M Campin, C. Hill and J. Marshall (2004) Implementation of
an atmosphere-ocean general circulation model on the expanded
spherical cube. Mon. Wea. Rev., 132 (12), 2845-2863
Campin, J-M., A Adcroft, C. Hill and J. Marshall (2004)
Conservation of properties in a free surface model. Ocean
Modelling, Vol 6, 221-244.
Adcroft, A.,
Hill, C., Campin J-M, Marshall, J. and P. Heimbach, 2004:
Overview of the Formulation and Numerics of the MIT GCM.
Proceedings of the ECMWF seminar series on Numerical Methods,
Recent developments in numerical methods for atmosphere and
ocean modelling, 139-149.
Marshall, J. A. Adcroft, J-M Campin and C. Hill (2004) Atmosphere-ocean
modeling exploiting fluid isomorphisms. Mon. Wea. Rev., 132 (12),
2882-2894 2003
U. Naumann
and P. Heimbach, 2003:
Coupling tangent-linear
and adjoint models.
in: V. Kumar, M.
Gavrilova, C.J.K. Tan,
P. L’Ecuyer (Eds.), Lecture
Notes in Computer
Science (LNCS), Vol.
2668, part II, pp.
105-114,
Springer-Verlag.
2002
P. Heimbach,
C. Hill and R. Giering,
2002:
Automatic Generation of
Efficient Adjoint Code
for a Parallel Navier-Stokes
Solver. in: J.J.
Dongarra, P.M.A. Sloot
and C.J.K. Tan (Eds.), Lecture
Notes in Computer
Science (LNCS), Vol.
2330, part II, pp.
1019-1028, Springer-Verlag.
1999
Adcroft, A., Hill C. and J. Marshall: (1999)
A new treatment of the Coriolis terms in C-grid models at both
high and low
resolutions,
Mon. Wea. Rev. Vol 127, pages 1928-1936
Hill, C, Adcroft,A., Jamous,D., and J. Marshall, (1999)
A Strategy for Terascale Climate Modeling.
In Proceedings of the Eighth ECMWF Workshop on the Use of
Parallel Processors
in Meteorology, pages 406-425
World Scientific Publishing Co: UK
Marotzke, J, Giering,R., Zhang, K.Q., Stammer,D., Hill,C., and
T.Lee, (1999)
Construction of the adjoint MIT ocean general circulation model
and
application to Atlantic heat transport variability
J. Geophysical Res., 104(C12), 29,529-29,547.
1998
Marshall, J., Jones, H.
and C. Hill, (1998)
Efficient ocean modeling using non-hydrostatic algorithms
Journal of Marine Systems, 18, 115-134
1997
Marshall, J., C. Hill, L.
Perelman, and A. Adcroft, (1997)
Hydrostatic, quasi-hydrostatic, and nonhydrostatic ocean
modeling
J. Geophysical Res., 102(C3), 5733-5752.
Marshall, J., A. Adcroft, C. Hill, L. Perelman, and C. Heisey,
(1997)
A finite-volume, incompressible Navier Stokes model for studies
of the ocean
on parallel computers,
J. Geophysical Res., 102(C3), 5753-5766.
Adcroft, A.J., Hill, C.N. and J. Marshall, (1997)
Representation of topography by shaved cells in a height coordinate ocean
model
Mon Wea Rev, vol 125, 2293-2315
1995
Hill, C. and J. Marshall,
(1995)
Application of a Parallel Navier-Stokes Model to Ocean
Circulation in
Parallel Computational Fluid Dynamics
In Proceedings of Parallel Computational Fluid Dynamics:
Implementations
and Results Using Parallel Computers, 545-552.
Elsevier Science B.V.: New York |