Contribution
ICTP
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SISSA - Aula Magna
Session A3 - Statistical Methods/Machine Learning techniques for regional climate modelling/downscaling
Speakers
Description
Session co-chairs: Fatima Driouech, Jason Evans and Douglas Maraun
Subcontributions
- A brief overview to warm up - José Manuel GUTIERREZ
- A storyline approach to select the CMIP6 model ensemble to be downscaled for the South America domain - Andressa ANDRADE CARDOSO
- Convolutional neural networks for local climate downscaling: precipitation extremes in the FPS in Southeastern South America - Maria Laura BETTOLLI
- RCM-emulators: A study of applicability to large GCM ensembles - Antoine DOURY
- Should we bias correct boundary conditions for regional climate models? - Jason EVANS
- Introducing eXplainable Artificial Intelligence to assess Deep Learning Models for Statistical Downscaling - Jose GONZÁLEZ-ABAD
- Can deep-learning models extrapolate to downscaling rainfall in future climates? - Neelesh RAMPAL
- Design of Experiments and Machine Learning (DoE & ML)-based approach to better capture uncertainty in future climate projections - Carla VIVACQUA