SC2.23 | Using Machine Learning to downscale climate scenarios
EDI
Using Machine Learning to downscale climate scenarios
Co-organized by AS6/CL6/CR8/ESSI6/HS11/NH15/SSS13
Convener: Christian Pagé | Co-conveners: Irida LazicECSECS, Milica TosicECSECS

This short course will train you how to use robust Machine Learning methods to do statistical downscaling of coarse climate model scenarios. A sample dataset will be used: daily surface temperature from one Global Climate Model of the CMIP6 database (historical and future climate time periods), along with a high resolution reanalysis.
Introduction on climate statistical downscaling
Methodology: classical and Machine-Learning based
Steps to perform downscaling
Sample datasets
Results
All material will be made available online, and a sample Jupyter Notebook will be provided.

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