It is well acknowledged that there are large uncertainties associated with radar-based
estimates of rainfall. Numerous sources of these errors are due to parameter estimation, the …

Rain gauge networks provide rainfall measurements with a high degree of accuracy at
specific locations but, in most cases, the instruments are too sparsely distributed to …

This paper presents an investigation of rainfall error models used in hydrological model
calibration and prediction. Traditional calibration methods assume input error to be …

The problem of the optimal combination of rain‐gauge measurements and radar
precipitation estimates has been investigated. A method that attempts to generalize well …

Precipitation is a key control on watershed hydrologic modelling output, with errors in rainfall
propagating through subsequent stages of water quantity and quality analysis. Most …

This paper presents a method to adjust the mean field bias of radar rainfall estimates in real
time. The underlying philosophy for estimation of radar rainfall in real-time used in this study …

This paper investigates a multicomponent radar-based rainfall estimation algorithm that
includes optimum parameter estimation and error correction schemes associated with radar …

A procedure for estimating radar rainfall in real time consists of three main steps: 1) the
measurement of reflectivity and removal of known sources of errors, 2) the conversion of the …

Meteorological radar is a remote sensing system that provides rainfall estimations at high
spatial and temporal resolutions. The radar-based rainfall intensities (R) are calculated from …

The low density of conventional rain gauge networks is often a limiting factor for radar
rainfall bias correction. Citizen rain gauges offer a promising opportunity to collect rainfall …