Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives

S Materia, LP García, C van Straaten… - Wiley …, 2024 - Wiley Online Library
Extreme events such as heat waves and cold spells, droughts, heavy rain, and storms are
particularly challenging to predict accurately due to their rarity and chaotic nature, and …

Artificial Intelligence for Prediction of Climate Extremes: State of the art, challenges and future perspectives

S Materia, LP García, C van Straaten… - arxiv preprint arxiv …, 2023 - arxiv.org
Scientific and technological advances in numerical modelling have improved the quality of
climate predictions over recent decades, but predictive skill remains limited in many aspects …

An Extended Analysis of Temperature Prediction in Italy: From Sub-Seasonal to Seasonal Timescales

G Giunta, A Ceppi, R Salerno - Forecasting, 2023 - mdpi.com
Earth system predictions, from sub-seasonal to seasonal timescales, remain a challenging
task, and the representation of predictability sources on seasonal timescales is a complex …

Advancing interpretability of machine-learning prediction models

L Trenary, T DelSole - Environmental Data Science, 2022 - cambridge.org
This paper proposes an approach to diagnosing the skill of a machine-learning prediction
model based on finding combinations of variables that minimize the normalized mean …

Machine Learning to improve and understand sub-seasonal forecasts of European temperature

JW van Straaten - 2023 - research.vu.nl
Europe faces droughts, heatwaves, and other extreme weather events every year. To
prevent the worst of the impacts good probabilistic forecasts are needed, ideally issued …

[PDF][PDF] VU Research Portal

JW van Straaten - research.vu.nl
Europe faces impactful droughts, heatwaves, and other extreme weather events every year.
Ideally, these events would be predicted in advance so that society can take action and …