Rainfall is one of the most basic meteorological and hydrological elements. Quantitative
rainfall estimation has always been a common concern in many fields of research and …

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 …

The rough topography, harsh climate, and sparse monitoring stations have limited hydro-
climatological studies in arid regions of Pakistan. Gauge-based gridded precipitation …

This study examined the overall performance of the climate models in Phase 6 of the
Coupled Model Intercomparison Project (CMIP6) in simulating the key energy and water …

Precipitation gauges are critical for assessing precipitation measurements at regional and
global scales and are often used to adjust precipitation estimates from other instruments …

Appropriate selection of gridded precipitation data is very important for the region where
long-term precipitation observations are not available. An approach based on compromise …

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 …

The presence of autocorrelation and long-term persistence (LTP) can lead to considerable
change in the significance of trends in hydro-climatic time series. This therefore casts doubt …

Recently developed methodologies such as climate reanalysis make it possible to create a
historical record of climate systems. This paper proposes a methodology called Hydrological …

Gridded datasets are of paramount importance to globally derive precipitation quantities for
a multitude of scientific and practical applications. However, as most studies do not consider …