The distributed measured data in large regions and remote locations, along with a need to
estimate climatic data for point sites where no data have been recorded, has encouraged …

The inclusion of physiographic and atmospheric influences is critical for spatial modeling of
orographic precipitation in complex terrains. However, attempts to incorporate cloud cover …

Extreme rainfall events can devastate urban and rural infrastructure, affect the economy and
even lead to loss of life. In this work, we propose an approach based on Long Short Term …

This study employs two heuristic algorithms, including the genetic algorithm (GA) and ant
colony optimization for continuous domains (ACO R), for optimizing the parameters of two …

This study proposes an alternative approach to the grid-wise VMF1 over Europe, through
spatial interpolation of the site-wise VMF1 product. The performance of Ordinary Kriging and …

Predicting environmental variables for a sustainable environment is vital for effective
resource management and regional development, especially in sensitive regions such as …

Heat index (HI) is a temperature that the human body feels or perceives, as opposed to the
physical air temperature measured by a thermometer. The goal of this study was to create a …

Thrace Basin is one of the most significant coalfields due to the lignite reservoir in Turkey. A
coal deposit was chosen as the study area in the Thrace coal basin, which is tertiary within …

The necessity to perform an accurate prediction of future characteristics of drought requires
a robust and efficient technique that can deduce from historical data the stochastic …

Rainfall is considered the most important factor affecting floods, soil erosion, water quality,
and groundwater resources. Therefore, accurate rainfall prediction is imperative for the …