Revisiting Extreme Arctic Ice Loss with MITgcm

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Revisiting Extreme Arctic Ice Loss with MITgcm

https://mitgcm.org/wp-content/uploads/2026/08/Screenshot-2026-08-31-at-3.33.55 PM.pngUsing 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.


Why ENSO Peaks in Winter: New Clues from MITgcm

Idealized MITgcm experiments reveal how monsoonal heating steers the timing of El Niño events.


Upper Ocean Energetics Under Sea Ice

New insights using the Oceananigans.jl modeling framework.


MITgcm Goes to Ocean Sciences 2026

This month, a taste of papers using MITgcm at this year’s Ocean Sciences Meeting.


2025 Research Roundup

Happy 2026: Another new year, yet another new research roundup! Best wishes as always to MITgcmers past, MITgcmers present and MITgcmers yet to come…


Modeling Ancient Wildfires

MITgcm sheds light on climate–vegetation–fire feedbacks in the early Triassic.


Modeling Ocean’s Most Abundant Oxygen Producer

Researchers use MITgcm to explore the response of Prochlorococcus to changes in the marine environment.