MITgcm
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 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…
Better Biogeochemical Modeling
New global-ocean, data-constrained DIC budget uses the ECCO-Darwin ocean biogeochemistry state estimate.
MITgcm Goes to Ocean Sciences 2022
This month, a taste from the smorgasbord of papers using MITgcm served up at this year’s Ocean Sciences Meeting.
Fluctuating Flows
Research using MITgcm explores the impact of including nonseasonal river discharge in a global ocean model.
2021 Research Roundup
Happy 2022: Another new year, another new research roundup! Best wishes as always to MITgcmers past, MITgcmers present and MITgcmers yet to come…