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Investigating short-term climate forecasts with surrogate modelling

This project uses Gaussian processes (GPs) as surrogate models for accurate climate forecasting. We emulate the UKESM1.0 climate model for precipitation, surface temperature and snow thickness. Work in collaboration with ZI Attahiru, M Salam and K Spukas.

Write-up here, codebase here.

This post is licensed under CC BY 4.0 by the author.