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A numerical model designed for study of the atmosphere, ocean, and climate, MITgcm’s flexible non-hydrostatic formulation enables it to efficiently simulate fluid phenomena over a wide range of scales; its adjoint capabilities enable it to be applied to sensitivity questions and to parameter and state estimation problems. By employing fluid equation isomorphisms, a single dynamical kernel can be used to simulate flow of both the atmosphere and ocean. The model is developed to perform efficiently on a wide variety of computational platforms.

  • Assimilating CryoSat-2 Summer Sea Ice Thickness Observations

    By incorporating satellite observations of summer sea ice thickness and concentration into MITgcm., a team of researchers from China and Germany is helping improve Arctic summer sea ice thickness estimation.

  • Antarctic Rifts and Icebergs

    Mattia Poinelli uses MITgcm to explore what role rifts and icebergs play in shaping the dynamics of Antarctic ice shelves.

  • Subglacial Melting

    This month we spotlight research using a regional implementation of MITgcm to explore Antarctic subglacial runoff.

  • MITgcm goes to EGU

    This month, a taste from the blizzard of papers using MITgcm served up at the European Geophysical Union General Assembly this year.

  • Assimilating Antarctic Sea-ice Thickness Data Revisited

    A team of researchers from China and the US has created a new atmospheric ensemble forcing for MITgcm to improve the accuracy and the uncertainty estimation of Antarctic sea ice simulation.

  • 2022 Research Roundup

    ​Happy 2023: Another new year, another new research roundup! Best wishes as always to MITgcmers past, MITgcmers present and MITgcmers yet to come…