OngoingOnline · Education · advanced · climate-science, machine-learning, uncertainty-quantification
An optional research track for the ClimX challenge where participants develop probabilistic models to predict 15 climate extreme indices by outputting quantile distributions rather than deterministic points. This free online competition targets researchers and data scientists aim
OngoingOnline · Education · advanced · machine-learning, climate-science, kaggle
A Kaggle competition challenging participants to build ML models that emulate climate extremes using the NorESM2-MM dataset. Targeted at data scientists and researchers, it focuses on regression and probabilistic modeling skills to predict heat, drought, and flood indices.