Democratising climate science: how climate model emulators add robustness and relevance to IPCC AR6
Thursday, 4th November 2021
It may surprise delegates that several of the IPCC AR6 headline results relating to Paris targets, net zero and some climate impacts are underpinned by climate model emulators: reduced complexity climate models based on physics developed 50 years ago. The same physics that won this year’s Nobel Prize. This event will shed light on the future climate evidence needed for effective mitigation and adaptation policy. It will also showcase the success of these emulators for translating science into policy, using IPCC AR6 as a prime example. It looks to the future where these simple modelling can be better democratised and made more relevant to adaptation needs. It will provide bang up-to-date evidence on how COP26 ambitions will benefit future climate and also launch a democratic online platform allowing anyone to do their own climate modelling.
Elements:
1) Introduction and quiz with Nobel Prize winner interviews;
2) Round table of user needs,
4) How emulators have helped set mitigation goals from AR5 to SR1.5 and AR6;
5) IPCC AR6 evidence for mitigation needs;
7) The future of climate model emulators;
8) Demonstration of online climate emulator tools
Reginald R. Barrer
Climate Governance Program Institute for Climate and Sustainable Cities
Marion Ferrat
Sustainable Development Solutions Network
Harriet Forster
Glasgow School of Art
Piers FORSTER
University of Leeds
Jan Fuglestvedt
Center for International Climate and Environmental Research Oslo (CICERO)
Rueanna Haynes
Climate Analytics
Andy Jarvis
The Alliance of Bioversity International and CIAT
Malte MEINSHAUSEN
The University of Melbourne
Zebedee Nicholls
Anna Pirani
WG1 TSU
Joeri ROGELJ
International Institute for Applied Systems Analysis (IIASA)
Sonia Seneviratne
Institute for Atmospheric and Climate Science, ETH Zurich
Chris Smith
University of Leeds (UK) and the International Institute for Applied Systems Analysis (Austria)
Democratising climate science: how climate model emulators add robustness and relevance to IPCC AR6
COP26