Watershed management and hydrological modeling require data related to the very
important matter of precipitation, often measured using raingages or weather stations …

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

This paper presents three multivariate geostatistical algorithms for incorporating a digital
elevation model into the spatial prediction of rainfall: simple kriging with varying local …

Although a few texts on forest hydrology are available, they cover very little, if any,
background on water resources. On the other hand, books dealing with water resources do …

This paper is concerned with mapping monthly precipitation in Great Britain from sparse
point data using a range of interpolation methods. The paper applies techniques that make …

A total of 21 gauges across the mountainous leeward portion of the island of Oʻahu,
Hawaiʻi, were used to compare rainfall interpolation methods and assess rainfall spatial …

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

As we all know, weather radar came into existence during the Second World War when
aircraft detection radars had their vision limited by echoes from rain bearing clouds. What …

New attempts at real-time estimation of rainfall fields using rain gage and radar rainfall data
are reported. Based on multiplicative decomposition of expectation of rainfall into conditional …

Quantitative estimation of rainfall fields has been a crucial objective from early studies of the
hydrological applications of weather radar. Previous studies have suggested that flow …