Quantifying uncertainties of precipitation estimation, especially in extreme events, could
benefit early warning of water-related hazards like flash floods and landslides. Rain gauges …

This study presents three global precipitation products and their downscaled versions
(CHIRPSv2, TAMSATv3, PERSIANN_CDR, CHIRPS_D, PERSIANNN_CDR_D, and …

Pluvial flooding in urban regions is a natural hazard that has been rarely investigated. Here,
we evaluate the utility of three radar (Stage IV, Multi-Radar Multi-Sensor or MRMS, and …

A fixed ZR relationship approach, such as the Marshall-Palmer relationship, for an entire
year and for different seasons can be problematic in cases where the relationship varies …

Weather radar provides real-time, spatially distributed precipitation estimates, whereas
traditional gauge data are restricted in space. The use of radar quantitative precipitation …

Flood forecasting is essential to minimize the impacts and costs of floods, especially in
urbanized watersheds. Radar rainfall estimates are becoming increasingly popular in flood …

The unstable performance of radar rainfall measurement hinders its application in
hydrology. Radar rainfall uncertainties induced by atmospheric conditions as raindrops fall …

This study assessed the performance of two well-known gridded meteorological datasets,
CFSR (Climate Forecast System Reanalysis) and CMADS (China Meteorological …

The actual accuracy of satellite rainfall products is often unknown due to the limitation of
raingauge networks. We evaluated the effect of gauge representativeness error on …

Using radar to estimate and forecast precipitation as input for hydrological models has
become increasingly popular in recent years because of its superior spatial and temporal …