An elegant solution to characterise the residual errors in radar precipitation estimates is to
generate an ensemble of precipitation fields. The paper proposes a radar ensemble …

In the area of hydrological risk management, both Quantitative Precipitation Estimates (QPE)
and Quantitative Precipitation Forecasts short time scales, ie, for relatively small river and …

Quantification of rainfall and its spatial and temporal variability is extremely important for
reliable hydrological and meteorological modeling. While rain gauge measurements do not …

This study presents a validation analysis of a radar-based multisensor precipitation
estimation product (MPE) focusing on small temporal and spatial scales that are of …

Abstract Mesoscale Alpine Programme Demonstration of Probabilistic Hydrological and
Atmospheric Simulation of Flood Events (MAP D‐PHASE) is a forecast demonstration …

The multisensor precipitation estimates (MPE) data, available in hourly temporal and 4 km×
4 km spatial resolution, are produced by the National Weather Service and mosaicked as a …

Recent advances in the field of remote sensing have led to an increase in available rainfall
data on a regional and global scale. Several NASA sponsored satellite missions provide …

The aim of this study is to develop a copula-based ensemble simulation method for
analyzing the uncertainty and adjusting the bias of two high resolution satellite precipitation …

Hourly Satellite Precipitation Estimates (SPEs) may be the only available source of
information for operational hydrologic and flash flood prediction due to spatial limitations of …

Due to the inherent indirect nature of radar-rainfall measurements, hydrologists have been
interested in understanding the characteristics of radar-rainfall estimation errors and how …