The overall objective of the present paper is to propose a statistical approach to downscale
the precipitation process at an ungauged location in the context of climate change. More …

Understanding the spatial and temporal variations of the precipitation process is essential
for the planning, design, and management of various water resources systems (eg, urban …

Dams and reservoirs play an important role in water resources management. However,
climate change and variability of land use are putting the future of dams and reservoirs …

Downscaling methods have been proposed for establishing the linkages between the large-
scale climate variables given by GCMs and the observed characteristics of hydrologic …

There exists an urgent need to assess the possible impacts of climate change on the
intensity-duration-frequency (IDF) relations for improving the design of urban water …

This paper proposes a spatial-temporal downscaling approach to construction of the
intensity-duration-frequency (IDF) relations at a local site in the context of climate change …

One of the biggest threats of the climatic change is aberrant pattern or distribution of rainfall
that results to drought. The main objective of this research was to develop a methodological …

This paper proposes a Statistical Downscaling (SD) approach to link climate predictors
provided by General Circulation Models (GCMs) to extreme rainfalls at a local site. More …