Excited to announce Groundsource - an open-source dataset of historic flood events! This has easily been one of the coolest projects I've worked on recently! Thread 🧵 for details and all relevant links. 1/n

New #NeuralHydrology release 🎉 Some news from v1.13.0: * CAMELS-IND & CAMELS-DE support * AORC hourly forcing support * xLSTM supportSupport for embedding layers in MTS-LSTMs ...and various other improvements and fixes. The full release notes: github.com/neuralhydrol... Thanks to all contributors!

Back by popular demand: At #EGU26 we'll organize another BUGS session: Blunders, Unexpected Glitches, and Surprises! Submit abstracts on ideas that seemed great but didn't work, errors and bugs that led to new insights (or funny stories), or any other unexpected results. www.egu26.eu/session/56997

It's (finally) published: hess.copernicus.org/articles/29/... Looking forward to all the different ways the title will be messed up by indexing tools!

Congratulations to Frederik Kratzert on winning this year's Arne Richter Award for outstanding research by an early career scientist. Fantastic presentation at #EGU25 this afternoon!

Now on HESSD for open discussion: egusphere.copernicus.org/preprints/20... They even let us keep the paper title (for now?!) 🙄

NeuralHydrology just got a little better, especially if you're building custom models :)

Starting on bsky with a new preprint: "How to deal w___ missing input data" doi.org/10.31223/X50... Missing input data is a very common challenge in deep learning for hydrology: weather providers have outages, some data products start later than others, some only exist for certain regions, etc.