Abstract Multi-Model Ensembles (MMEs) are often employed to reduce the uncertainties
related to GCM simulations/projections. The objective of this study was to evaluate the …

Reanalysis precipitation products (RPPs) are frequently used for studying the water cycle
changes from short to long-term scale globally. In the current study, ERA-5 produced by the …

Inadequate climate data stations often make hydrological modelling a rather challenging
task in data-sparse regions. Gridded climate data can be used as an alternative; however …

Understanding the performance of remotely-sensed precipitation with rain gauge as
reference is essential before their application in estimating multiple processes. In current …

Global gridded precipitation datasets have been developed using rain gauges, satellite
observations, and data assimilation techniques to fulfill the need in regions with a limited …

Understanding the spatial and temporal occurrences of extreme rainfall events and their
changes is crucial for reducing the risk associated with extreme events, especially under …

The use of satellite–based precipitation products (SPPs) have become increasingly
prevalent as key inputs to provide regional rainfall for improving hydrological simulations in …

Precipitation is an important component of the global water cycle. A comprehensive
understanding of precipitation characteristics, especially that in urban areas, is essential for …

Selection of appropriate gridded rainfall and temperature data is a key problem for hydro-
climatic studies, particularly in regions where long-term reliable and dense observations are …

Decreases in climatic water availability (CWA) and increases in crop water demand (CWD)
in the background of climate change are a major concern in arid regions because of less …