Supporting the forecasting of torrential rain and cloudbursts
Atmospheric water vapor plays a crucial role in the forecasting and nowcasting of severe rainfall events. Monitoring the spatial and temporal variability of water vapor over a given area is useful to predict torrential rain events within short timespans, or to support numerical weather prediction models.
GNSS observation analysis can be used to retrieve the amount of water vapor in the column of atmosphere above a ground station. Dense networks of GNSS receivers are deployed within areas of few tens of km in order to retrieve maps of the water vapor spatial distribution, and monitor its variation over time.
GReD competencies and services about GNSS data processing and spatiotemporal data analysis support local governments to predict high intensity rainfall, in order to issue early warnings.