Abstract Multi-Model Ensembles (MMEs) are used for improving the performance of GCM
simulations. This study evaluates the performance of MMEs of precipitation, maximum …

Recently developed remote sensing data including satellite-based products show promising
performance in estimating precipitation at high spatiotemporal resolution. However, the …

Satellite-retrieved and atmospheric reanalysis precipitation can bridge the spatiotemporal
gaps of in-situ gauging networks, but estimation biases can limit their reliable applications in …

Precipitation is a crucial input for hydrological models to achieve various purposes such as
water resource management and flood forecasting. However, precipitation stations are …

The high spatiotemporal variability of rainfall in tropical regions has posed a great challenge
for generating satisfactory satellite precipitation products (SPPs). Most of previous studies …

In Lake Ziway watershed in Ethiopia, the contribution of river inflow to the water level has not
been quantified due to scarce data for rainfall-runoff modeling. However, satellite rainfall …

Improving streamflow prediction plays a significant role in flood warning, mitigation and
development purposes. Therefore, this paper aims to compare the prediction capability of a …

Satellite rainfall estimates (SREs) are prone to bias as they are indirect derivatives of the
visible, infrared, and/or microwave cloud properties, and hence SREs need correction. We …

In this study, the accuracy of CMORPH, CMORPH-CRT, PERSIANN and PERSIANN-CDR
satellite precipitation estimates (SPEs) were evaluated over the Omo–Gibe River Basin in …

After the launch of the Global Precipitation Measurement (GPM) mission in 2014, many
satellite precipitation products (SPPs) are available at finer spatiotemporal resolution and/or …