In this paper, artificial neural network (ANN) was used for statistically downscale the outputs
of general circulation models (GCMs) to assess future changes of precipitation and mean …

Effective selection of climate predictors is a fundamental aspect of climate modeling
research. Predictor Screening (PS) plays a crucial role in identifying regional climate drivers …

Downscaling rainfall in an arid region is much challenging compared to wet region due to
erratic and infrequent behaviour of rainfall in the arid region. The complexity is further …

The catchment area is essentially a heterogeneous dynamic, time and space hydrological
system, and so the process of rainfall-runoff transmission in the catchment area is a very …

Understanding the mechanisms of river runoff variation is important for the effective
management of water resources in arid and semi‐arid regions. This study uses long‐term …

Water quality models survey and predict changes in the water quality parameters with the
optimized monitoring costs. The Gharasou River is the primary resource of water supply for …

Regression-based statistical downscaling is a method broadly used to resolve the coarse
spatial resolution of general circulation models. Nevertheless, the assessment of …

Evaluating the impact of climate change at river basin level has become essential for proper
management of the water resources. In the present study, Godavari River basin in India is …

There are many environmental challenges in water-limited places in the 21st century,
particularly in dry and semi-arid regions, due to the threat of climate change caused by the …

Over the last few decades, the climate change has been increased due to the increased
industrial activities, greenhouse gas emissions, and CO 2 level. This change has affected …