Not Finding Nemo
Researchers at King Abdullah University of Science and Technology have been using MITgcm to study larval dispersal in the Red Sea.
Falling Water
Students make a splash using MITgcm to model falling water in a lab tank during an NSF funded undergraduate research program last summer.
MITberg
This month we report work by Alan Condron (UMass) using MITgcm, coupled with geological data, to show that massive icebergs and large volumes of meltwater were periodically transported along the east coast of North America as far south as southern Florida during the last deglaciation
Getting to the Bottom of Greenland’s Glaciers
MIT postdoc Roberta Sciascia has been using MITgcm to explore the variations in submarine melt rate of Helheim Glacier induced by glacier and intermediary circulations.
Connecting the Dots with MITgcm
This month we look at new work exploring whether high resolution MITgcm tracer simulations can help “connect the dots” in the sparse sampling problem associated with observing the evolution of released dye in a shallow sea.
Snowballs in Summer
Cool off with a study from Ashkenazy, Gildor, Losch and Tziperman who use MITgcm to explore the ocean in models of snowball earth.
Phytoplankton Diversity versus Productivity in the Ocean
In new work published in Nature Communications in July, an international team of scientists from the Massachusetts Institute of Technology and the Institute of Marine Sciences of Barcelona, Spain in collaboration with the National Centre for Scientific Research, France have been using MITgcm to study the balance between phytoplankton diversity and productivity.
MITgcm: Ready for Prime Time
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.
Mixing it up in the Southern Ocean
This month we spotlight work by Ryan Abernathey who has been using MITgcm to map surface mixing rates globally.
Sea – Ice Interplay
In a novel approach, MITgcmers Ian Fenty and Patrick Heimbach use optimal state and parameter estimation to improve the sea-ice simulations.