Soil erosion is a direct product of the complex interactions between natural and
anthropogenic factors. Such factors vary over space and time, making the assessment of soil …

An ever-increasing number of rainfall estimates is available. They are used in many
important applications such as flood/drought monitoring, water management, or climate …

Long and temporally consistent rainfall time series are essential in climate analyses and
applications. Rainfall data from station observations are inadequate over many parts of the …

This work focuses on comparing results of flood susceptibility modelling in the part of Middle
Ganga Plain, Ganga foreland basin. Following inclusivity rule, 12 major flood explanatory …

Accurate measurement of rainfall is vital to analyze the spatial and temporal patterns of
precipitation at various scales. However, the conventional rain gauge observations in many …

The Global Precipitation Measurement (GPM) Integrated Multi-satellite Retrievals for GPM
(IMERG) products provide quasi-global (60° N–60° S) precipitation estimates, beginning …

Precipitation and air temperature are key drivers of watershed models. Currently there are
many open-access gridded precipitation and air temperature datasets at different spatial and …

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

Spatial rainfall data is an essential input to Distributed Hydrological Models (DHM), and a
significant contributor to hydrological model uncertainty. Model uncertainty is higher when …

Climate change is becoming one of the most threatening issues for the world today in terms
of its global context and its response to environmental and socioeconomic drivers. However …