Celebrating Lily-belle Sweet's first PhD publication! 🎉 Our study navigates through the impact of random K-Fold cross-validation on ML model interpretations, meticulously addressing common pitfalls. Proud to co-author this! #MachineLearning

Why did the 2022 compound event cause such disastrous consequences over the Sichuan-Chongqing region, China? Please check our latest paper led by Yang chen and Zengchao Hao. Happy to be part of it!

All about last week!

Just published: The first paper emerging from Luis Gimeno-Sotelo's visit to @UFZ as part of the #Damocles COST action. He worked on identifying key atmospheric drivers of precipitation extremes across the globe. 🌧️🔍 CompoundNET (@compoundnet.bsky.social) sciencedirect.com/science/articl…

🌀Dive into "Diffusion Models on WeatherBench" 📽️Video presentation ▶️ bit.ly/45rQqek Catch every project presentation on our website. The grand finale awaits on September 20th! #Code4Earth 2023 More info👉bit.ly/3KEYQHs

And here you go with an arty visual, including the decline in CO2 emission required to limit warming to 2°C. It looks like an uncomfortable tie... Glen Peters

The weather forecast is improving… literally! Introducing WeatherBench 2, a benchmark for the next generation of data-driven, global weather forecast models, providing data, tools, & an evaluation platform. Learn how to use it and check out the website →goo.gle/3YVUGAU

Starting soon! Join @jonathanwider and me to know how Diffusion Models can be used for weather prediction.

Congratulations Jakob! Glad to be part of such a group!

We are looking for a PhD candidate🎓 on "Machine Learning for Improved Representation and Understanding of Irrigation in Earth System Models"🌾💧🌍 in our IMPRS program bgc-jena.mpg.de/imprs/applicat… Associated with ELLIS Unit Jena. Contact me if interested in #AI #MachineLearning 😉

Can we reduce high-dimensional weather and forest structure to a few explainable inputs to predict forest loss? What does entropy have to do with this? See me on Wednesday to know all about it. 17:00 to 17:10 am at 3006 - West (Level 3, West, MC) #AGU23 #eXplainableAI

We are very glad to announce the "Compound weather and climate events" session at #EGU24! Looking forward to receiving your exciting abstracts (the submission deadline is 10 January 2024). meetingorganizer.copernicus.org/EGU24/session/… CompoundNET (@compoundnet.bsky.social)

In 3 hours!

Check out our #ICLR2024 paper, “SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations” (openreview.net/forum?id=LSYhE…), where we improve the U-Net architecture for modeling time-evolving PDEs. (1/4)

Amazing work Shijie! 🎉👏🏼

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: kaggle.com/competitions/t…

Recent article! Identifying compound weather drivers of forest biomass loss with generative deep learning 👉bit.ly/486v1Ke 🌲🔍GenerativeAI meets forest biomass loss! Researchers here are using a modified variational autoencoder to tackle forest biomass loss. This AI