Observations of weather phenomena have attracted many researchers because of their microphysical complexity, space-time variability, and more important, their impact on human life. In the efforts of studying weather, researchers have used a diverse number of instruments to obtain both in-situ (towers, tethered balloons, and weather station networks) and remote (radar, lidar, satellite) measurements. In this study, weather measurements are obtained using ground-based weather radars, which are able to scan over a large space domain, acquiring data from scanned hydrometeor targets, such as groups of rain and ice particles. Radar measurements require complex processes to extract reliable information that can be used by weather institutions, companies, and citizens. In this thesis, innovative methods are presented to process weather radar measurements, acquired at X-band frequencies and using polarimetric technology, with the aim of capturing the natural variability of storm events.
|Award date||21 Sep 2018|
|Publication status||Published - 2018|
- Weather radar signal processing
- Optimization Method