Recent posts
Categories
- Adjoint Modeling (6)
- Atmospheric Modeling (11)
- Biogeochemical Modeling (13)
- Climate modeling (19)
- Coupled Modeling (14)
- Lake Modeling (1)
- Model development (8)
- Model-data assimilation (19)
- Ocean modeling (83)
- Offline Modeling (9)
- Planetary Atmospheres (6)
- Sea-ice Modeling (10)
- Uncategorized (16)

Dan Goldberg has been working with longtime MITgcmer Patrick Heimbach, looking at new ways to assimilate observations into glaciological flow models capable of representing fast streaming ice flow.
This month we focus on several recent papers that have used MITgcm and its adjoint to perform state estimates and explore its ocean forecasting capabilities in the Gulf of Mexico.
For anyone who has ever wrestled with vizualising output from MITgcm, Earth from Space, the stunning new documentary from PBS’s NOVA series demands serious respect.
This month we spotlight work by Ryan Abernathey who has been using MITgcm to map surface mixing rates globally.
A sample of 2012 research articles that involved MITgcm in some way. Take a look…
In a novel approach, MITgcmers Ian Fenty and Patrick Heimbach use optimal state and parameter estimation to improve the sea-ice simulations.
Angela Zalucha has always had a passion for weather but tantalized by the meteorology of other planetary bodies she uses MITgcm to explore the exotic atmospheres of our neighbours in the solar system and beyond, among them the recently re-defined “plutoid” Pluto.
Nuno Serra from the University of Hamburg has used MITgcm in many ocean modeling projects, both from a process-modelling perspective and “realistically”, incorporating forcing from NCEP and ECMWF. He is especially interested in the processes regulating North Atlantic and North Pacific inter-annual to inter-decadal variability. A particular passion is overflows.
This month we focus on research using MITgcm to model atmospheres on Jupiter-like exoplanets showcasing work by recent University of Arizona, Lunar and Planetary Laboratory graduate, Nikole Lewis.