Hydrology requires accurate and reliable rainfall input. Because of the strong spatial and
temporal variability of precipitation, estimation of spatially distributed rain rates is …

In mountain terrain, well-configured high-resolution atmospheric models are able to simulate
total annual rain and snowfall better than spatial estimates derived from in situ observational …

The precise estimation of precipitation quantities in tropical mountain regions is in great
demand by ecological and hydrological studies, due to the heterogeneity of the rainfall …

Extreme precipitation is one of the most devastating forms of atmospheric phenomenon,
causing severe damage worldwide, and is likely to intensify in strength and occurrence in a …

The uncertainty structure of radar quantitative precipitation estimation (QPE) is largely
unknown at fine spatiotemporal scales near the radar measurement scale. By using the …

The Mediterranean region is a climate change hotspot where the rate of climate change
exceeds the global mean. The rapidly changing climate in combination with an increase in …

This paper presents a coupled observation and modelling strategy aiming at improving the
understanding of processes triggering flash floods. This strategy is illustrated for the …

Compared to other estimation techniques, one advantage of geostatistical techniques is that
they provide an index of the estimation accuracy of the variable of interest with the kriging …

We introduce a long‐term, high‐resolution radar rainfall data set for the Baltimore
metropolitan area covering the 10‐yr period from 2000–2009. Rainfall fields are developed …

This paper presents a detailed analysis of the September 8–9, 2002 flash flood event in the
Gard region (southern France) using two distributed hydrological models: CVN built within …