1. Community Radar Software
Lecturers: Irene Crisologo (University of Potsdam, Germany), Scott Collis (Argonne National Laboratory, USA), Maik Heistermann (University of Potsdam, Germany), Daniel B. Michelson (Environment and Climate Change Canada), Kai Muehlbauer (University of Bonn, Germany)
Course description: Participants are introduced to community software packages designed for radar data processing, including (but not limited to) BALTRAD, Py-ART, and wradlib. The course addresses how open source community software could contribute to making science and applications more transparent, reproducible, and efficient.See course website for a more detailed description, and for course materials.
2. Quantitative Precipitation Estimation: observations from radar, gauges and opportunistic sensing for flood prediction
Lecturers: Pierre-Emmanuel Kirstetter (NOAA), Marie-Claire ten Veldhuis, Marc Schleiss (TU Delft), Lotte de Vos (KNMI)
Course description: The course focusses on precipitation information that can be obtained from various sensors and specifically from weather radars. Understanding of the uncertainties and spatial and temporal resolutions in which various techniques can capture precipitation patterns is needed to combine these techniques. Participants will explore the impact of precipitation patterns on flow response, hydrological modelling and prediction at continental to urban scales. Download the full description of the course below.