40 citations · 66 across the 3 of their papers we have counts for
3 papers
Advancing global sea ice prediction capabilities using a fully-coupled climate model with integrated machine learning
William Gregory, Mitchell Bushuk, Yong-Fei Zhang +4
We showcase a hybrid modeling framework which embeds machine learning (ML) inference into the GFDL SPEAR climate model, for online sea ice bias correction during a set of global fu…
Machine learning for online sea ice bias correction within global ice-ocean simulations
William Gregory, Mitchell Bushuk, Yongfei Zhang +2
In this study we perform online sea ice bias correction within a GFDL global ice-ocean model. For this, we use a convolutional neural network (CNN) which was developed in a previou…
Deep learning of systematic sea ice model errors from data assimilation increments
William Gregory, Mitchell Bushuk, Alistair Adcroft +2
Data assimilation is often viewed as a framework for correcting short-term error growth in dynamical climate model forecasts. When viewed on the time scales of climate however, the…