In January, the Open Geospatial Consortium (OGC) released Part 1 of the OGC API – Processes standard. As one of the editors, I would like to provide a short introduction to the API.
Archives for April 2022
Bochum students explore deep learning techniques for rainfall runoff predictions
In recent years, the applicability of Machine Learning approaches for hydrological use cases has reached great attendance. Especially long short-term memory (LSTM) networks show comparable results to conceptual models when being applied to hydrological time series forecasting problems. Now, Interdisciplinary students from Bochum explored innovative deep learning techniques for rainfall-runoff modeling.