In this study, a multisite multivariate statistical downscaling approach based on the
Generalized Linear Model (GLM) framework is developed to downscale daily observations …

This study investigated the impacts of climate change on the urban heat island (UHI) and the
number of very hot (maximum temperature> 35° C) and very cold days (minimum …

In the implementation of traditional GP algorithm as models are evolved in a single deme
(an environment in which a population of models is evolved) it may tend to produce sub …

Downscaling of climate projections is the most adapted method to assess the impacts of
climate change at regional and local scales. This study utilized both spatial and temporal …

This paper presents a novel approach to incorporate the non-stationarities characterised in
the GCM outputs, into the Predictor-Predictand Relationships (PPRs) in statistical …

Abstract Changes in the global climate are attributed to the levels of greenhouse gases.
Thus, future scenarios (Representative Concentration Pathways–RCPs) have been …

Predictability of US Regional Extreme Precipitation Occurrence Based on Large-Scale
Meteorological Patterns (LSMPs) in: Journal of Climate Volume 34 Issue 17 (2021) Jump to …

In this study, dynamically-downscaled temperature and precipitation changes over
Saskatchewan are developed through the Providing Regional Climates for Impacts Studies …

Climate change is a key business risk for ports and inland waterways and, therefore, a key
consideration for the design and operation of this infrastructure. While risk and vulnerability …

The impacts of climate change increasingly show themselves in many forms in our everyday
lives such as heatwaves and droughts. Drought is one of the critical events today for …