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.
Following the Flow
Researchers use MITgcm to explore how oceanographic connectivity shapes marine biodiversity in the Galápagos
Exploring Ocean Alkalinity Enhancement with MITgcm
Ocean modeling reveals that real-world alkalinity enhancement produces far smaller chemical perturbations than commonly tested in laboratory experiments.
Revisiting Extreme Arctic Ice Loss with MITgcm
Using MITgcm, researchers uncover how storm-driven mixing and ice motion combined to trigger exceptional sea ice retreat missed by operational forecasts.
Eddies, Pathways, and Convection: Tracking the Irminger Current
Using a high-resolution MITgcm simulation paired with Lagrangian particle tracking, a new study traces where Irminger Current waters actually go and shows they do not just hug the boundary.
Introducing: BIG-MITgcm
Running a coupled model to equilibrium is easy—until you include ice sheets. BIG-MITgcm tackles that head-on, using a new global-scale ice sheet model and a new coupled framework to let slow components catch up.
Tracking a Sinking Signal
Researchers at the University of Gothenburg use ECCO data to provide a new view of ocean stratification.