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.
MITgcm.jl
This month we shine the spotlight on a new way to engage with MITgcm: The Julia interface.
Speeding up Spin Up
This month we spotlight research using MITgcm in a study seeking to accelerate ocean biogeochemical model optimization.
Mangroves on the Move?
This month we spotlight research using MITgcm to explore how factors beyond climate, such as dispersal limitations, impact the spread of mangroves.
2023 Research Roundup
Happy 2024: Another new year, another new research roundup! Best wishes as always to MITgcmers past, MITgcmers present and MITgcmers yet to come…
Exploring the effects of optimizing model-dependent parameters on Antarctic sea-ice concentration data assimilation
Improving the performance of the Data Assimilation System for the Southern Ocean in assimilating sea-ice concentration (SIC) through optimizing model-dependent parameters.
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.