Conveners
Oral session #1: Processing methods
- Filippo Giannetti (University of Pisa)
In the city of Lübeck, 50 optical sensors from NIVUS were installed as part of the mFund project heavyRAIN. These measurements, combined with radar-derived precipitation data, aim to improve quantitative precipitation estimation (QPE) through additional information from many measurement points (Einfalt et al., 2024). A key aspect of the study was the careful selection of sensor locations to...
Opportunistic remote sensing with TV-satellite microwave links (SML) in the Ku-band offers a promising approach for rainfall estimation by leveraging signal attenuation as an indicator of rainfall intensity. However, a key challenge remains: differentiating rain-induced attenuation from atmospheric induced noise.
In this study, we use SML to evaluate their ability to retrieve rainfall rates,...
The use of opportunistic sensing (OS) devices for rainfall monitoring, such as commercial microwave links (CMLs), has attracted the attention of urban hydrologists and drainage engineers in the recent decade. However, the devices are neither originally designed for rainfall monitoring nor properly maintained or installed. Therefore, they can be affected by various factors other than rainfall,...
Accurately measuring rainfall is essential for weather forecasting, flood prediction, and water resource management. Traditional methods rely on rain gauges for direct measurements, radar systems for broader coverage and satellites. However, these methods face challenges due to sparse sensor distribution and data coverage.
A promising alternative is using wireless commercial microwave links...
