We're halfway through our Kaggle competition runtime, with 148 submissions so far! Despite using the same training data (1980-2020), submitted data-driven yield projections vary widely (median and interquartile range plotted). Try it for yourself: www.kaggle.com/competitions...

Can you learn from the past to predict future climate impacts? Our Kaggle competition has been running for 3 weeks, with 45 submissions so far. Despite using the same training data, models vary in their projected changes in global maize productivity... www.kaggle.com/competitions...

I've added a public notebook that trains a simple tree-based model and submits predictions to our Kaggle competition, to make it even easier to participate - just make a copy of the notebook and play around! www.kaggle.com/competitions...

Can we learn from the recent past to predict future climate change impacts using machine learning? We have created a new benchmark dataset designed to help answer this question, and you can take part in the challenge: www.kaggle.com/competitions...

A preprint I’ve been working on together with Olivier Pasche, Zhongwei Zhang, @zscheischlerjak.bsky.socialarxiv.org/abs/2404.17652. We compared ML-based weather models and ECMWF’s HRES in case studies on 3 recent high-impact extreme events! Summary & a few thoughts 🧵👇

Two webinars to check out: 1) Avantika Gori presenting her work on compound tropical-cyclone hazards – www.youtube.com/watch?v=0mUb...www.youtube.com/watch?v=fUWh...

Check out February's Early Career Researcher of the month @lilybellesweet.bsky.socialcompoundevents.org/blog/early-c...

Early Career Researcher (ECR) of the Month (Feb 2024) – Lily-belle Sweet

By Lou Brett, University of Strathclyde 🚀 We want to hear from you and your exciting research! Always wanted to make your research more visible? If you’re interested in joining the CompoundNET earl…

New blogpost by @lilybellesweet.bsky.socialcompoundevents.org/blog/from-a-...

From a Short-Term Scientific Mission to the Creation of a Community for Machine Learning and Crop Modelling

by Lily-belle Sweet, Helmholtz Centre for Environmental Research (UFZ) Existing crop models underestimate the impacts of individual climate extremes on yields, but agricultural yield shock can also…

Ioannis Athanasiadis kicking off the first AgMIP Machine Learning (AgML) workshop in Wageningen! So excited to meet everyone in person and do some cool work together 🌾🤖

Join us in Wageningen in January for the first AgMIP Machine Learning (AgML) workshop! www.wur.nl/en/research-...