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.
4. Radar-based Ensemble Precipitation Nowcasting
Lecturers: Loris Foresti, Daniele Nerini and Urs Germann (MeteoSwiss), Seppo Pulkkinen (Finnish Meteorological Institute) and Alan Seed (Australian Bureau of Meteorology)
Course description: In this course, participants learn the basics of radar-based ensemble precipitation nowcasting and blending with NWP, as well as come to understand the main scientific challenges thereof. Scientific experts can discuss open questions that require further investigation. Download the full description of the course below.
5. Zdr calibration
Lecturers: John C. Hubbert (NCAR/EOL), Mike Dixon (NCAR/EOL), Richard Ice (Centuria Corporation), Michael Frech (German Weather Service) and Asko Huuskonen (Finnish Meteorological Institute)
Course description: The goal of the course is to educate the student as to the methods, principles, issues, and signal processing techniques required for accurately estimating Zdr bias and its uncertainty. The course is aimed at students, engineers and scientists who desire to know the details of Zdr calibration and how to apply the techniques to their radars and data.
6. Micro Rain Radar
Lecturer: Gerhard Peters
Course description: The micro rain radar (MRR) is a very low power vertically pointing Doppler radar. In this course, the most important applications of MRR are illustrated. With hands-on excercises and discussions, the operational principle and the practical issues of MRR are addressed. Download the full description of the course below.