News

Climate models are a key technology in predicting the impacts of climate change. By running simulations of the Earth’s climate, scientists and policymakers can estimate…

Sai Ravela, PhD, a principal research scientist in MIT’s Department of Earth, Atmospheric, and Planetary Sciences (EAPS), is leading this 2024 India Grant project. The…

Grace, our super super UROP presented her work on learning surrogate models for cyclone-induced flood risk assessment.

Dr. Jiangchao Qiu, a coastal modeler with an interest in machine learning, joins the ESSG! Welcome, Dr. Qiu!

Sai Ravela gave a talk at GFD Summer school at Woodshole on August 12,“A Stochastic Dynamical Perspective forOptimizing Learning Machines for Climate Applications”

The CREWSnet leadership selects Sai Ravela to lead the Tropical Cyclone and Heat Stress related activity including modeling, quantifying risk, decision support, and interventions in…

For the summer of 2022, we are pleased to welcome Vivian Ngyuen and Diego Luca Gonzalez Gauss who will respectively be working on the Animal…

The Earth Signals and Systems Group is honored to contribute to MIT’s flagship Climate Grand Challenges projects: “Preparing for a new world of weather and climate…

Sai Ravela gives a Data Science for Atmospheric Sciences colloquim at  Ludwig Maximilian University of Munich (LMU)  on a Bayesian Theory for Coherent Fluids that…

Sai, together with collaborators from Applied Research Associates (ARA) in a team comprising of Nakata and Ravela from EAPS, presents an overview of our lab…