Tag Archives: machine learning
Climate modelling, deep learning and AI
Earth system modelling – and particularly weather forecasting, is in the middle of a disruptive event. The last two years have seen deep learning forecasting methods go from being a promising idea, to keeping up with state-of-the-art approaches to weather forecasting. The new models might be computationally expensive to train, but can be hundreds or […]
Constraining the carbon cycle in a land surface model – a talk for EGU23
I’m attending the EGU 2023 assembly this week, and gave a talk on our latest paper Constraining the carbon cycle in JULES-ES1.0. Attending online works fine, but doesn’t give you all the bonuses of meeting in person, getting the lowdown on the coolest talks coming up, and catching up with old colleagues and friends. One […]
