Publications

Aris Marcolongo, Mykhailo Vladymyrov, Sebastian Lienert, Nadav Peleg, Sigve Haug, and Jakob Zscheischler. Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks. Environmental Data Science, (1):e2, 2022. [PUMA: Convolutional Networks Neural Predicting data gross low primary production weather zno]

Marzan Tasnim Oyshi, Danny Schober, Juliette-Michelle Burkhardt, Verena Maleska, Tillmann Auguszt, Linus Langhans, Richard Karl Fuchs, and Stefan Gumhold. ExtremeWeatherVis: Visualizing Extreme Weather Events for Multi-City in Virtual Reality to Support Decision Making. In Soumya Dutta, Kathrin Feige, Karsten Rink, and Baldwin Nsonga (Eds.), Workshop on Visualisation in Environmental Sciences (EnvirVis), The Eurographics Association, 2024. [PUMA: topic_visualcomputing Decision Events Extreme ExtremeWeatherVis Making Multi-City Reality Virtual Visualizing Weather]