Oslo joint seminar in atmospheric, ocean and climate science, Jun 30

Title: Accelerating climate science with machine learning: Earth system emulation

Speaker: Duncan Watson-Parris, University of Oxford

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Speaker:  Duncan Watson-Parris, Univ. of Oxford

Abstract:

Uncertainties in estimating Earth’s future climate stem from both inaccuracies in our models and the vast array of possible choices that society will make in the intervening years. One of the most pressing uncertainties in climate modelling is that of the effect of anthropogenic aerosol, particularly through their interactions with clouds. Here I will introduce a general earth system emulation framework which leverages advances in machine learning and describe its application to the emulation of entire climate models for the reduction of this uncertainty. I will also demonstrate how such emulation can be used to better approximate the climate response to different pollutants, in their detection and attribution, and in the exploration of different future emissions pathways.

What is the Joint Oslo Seminar (JOS):

Atmospheric and climate sciences have a stronghold in Oslo among the four institutions University of Oslo, the Meteorological Institute, CICERO and NILU. This joint seminar invites renowned international experts to contribute to an informal series of lectures, meant to create interaction with the Oslo atmospheric and climate science community on recent highlights and analysis in the field. All seminars will be held on Thursdays (Noon -1pm).

Published Jan. 20, 2022 9:04 AM - Last modified June 7, 2022 1:30 PM