A hydrological model is a useful tool to study the effects of human activities and climate
change on hydrology. Accordingly, the performance of hydrological modeling is vitally …

Determining economically viable and highly efficient strategic locations for utility-scale solar
power plants is a costly procedure that depends on several factors. This paper investigates …

This review and commentary sets out the need for authoritative and concise information on
the expected error distributions and magnitudes in observational data. We discuss the …

Accurate rainfall data are of prime importance for many environmental applications. To
provide spatially distributed rainfall data, point measurements are interpolated. However, in …

In this paper, two monthly global solar radiation spatial interpolating models: an Artificial
Neural Network (ANN) and an Inverse Distance Weighting based model (IDW) have been …

In the present study, four high-resolution multi-sensor blended precipitation products, TRMM
Multisatellite Precipitation Analysis (TMPA) research product (3B42 V7) and near real-time …

Climate change impact studies on hydrological extremes often rely on the use of
hydrological models with parameters inferred by using observational data of daily …

Selection of appropriate interpolation methods for the conversion of discrete samples into
continuous maps is a controversial issue in the environmental researches. The main …

The potential of weather radar observations for hydrological and meteorological research
and applications is undisputed, particularly with increasing world-wide radar coverage …

Most hydrological analysis and modeling studies require reliable and accurate precipitation
data for successful simulations. However, precipitation measurements should be more …