Frederik Kratzert: Rainfall-runoff modelling

Title: Long Short-Term Memory networks (LSTMs) for rainfall-runoff modeling Speaker: Frederik Kratzert, Google Abstract: In this talk, I will talk about my research over the last few years on LSTMs for rainfall-runoff modelling. We will cover a short introduction about the model, talk about why it is such a good fit for this application, and I will share insights from various studies of the recent past. Additionally, we will revisit the best practices that you should follow, in case you are interested in applying LSTMs in your research/work. About the speaker: Frederik did his Master in environmental engineering and his PhD in machine learning with a focus on the intersection of these two fields. After his PhD, Frederik joined Google as a visiting faculty researcher, where he is working in Google’s Flood Forecasting team, building a global flood warning system. Location: This is an online seminar. Connect using Zoom. Zoom link: https://rise.zoom.us/j/208117140 Upcoming seminars: 2022-11-17: Muhammad Osama, Aptiv 2022-11-24: Viktor Larsson, LTH 2022-12-01: Sara Beery, MIT 2022-12-08: William Lidberg, Swedish University of Agricultural Sciences More information and coming seminars: https://ri.se/lm-sem