-
Article
Open AccessTemperature and urban heat island effect in Lublin city in Poland under changing climate
This study investigates the characteristics of the temperature regimes at an urban station (Litewski square) in Lublin city in Poland and a nearby rural station (Radawiec), and the Urban Heat Island (UHI) effe...
-
Article
Machine Learning-Based Rainfall Forecasting with Multiple Non-Linear Feature Selection Algorithms
The present research examined the potential of two important feature selection methods, Bayesian Networks (BN) and Recursive Feature Elimination (RFE), in identifying the optimum predictors for forecasting rai...
-
Article
Pros and cons of using wavelets in conjunction with genetic programming and generalised linear models in statistical downscaling of precipitation
Among the regression techniques used in building statistical downscaling models, genetic programming (GP) which mimics Darwin’s theory of biological evolution possesses several pros such as it evolves explicit...
-
Article
Open AccessMachine learning for downscaling: the use of parallel multiple populations in genetic programming
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-optimal models with poor generali...
-
Article
Annual statistical downscaling of precipitation and evaporation and monthly disaggregation
Development of downscaling models for each calendar month using the data of predictors specifically selected for each calendar month may assists in better capturing the time-varying nature of the predictor-pre...
-
Article
Potential improvements to statistical downscaling of general circulation model outputs to catchment streamflows with downscaled precipitation and evaporation
An existing streamflow downscaling model (SDM(original)), was modified with the outputs of a precipitation downscaling model (PDM) and an evaporation downscaling model (EDM) as additional inputs, for improving st...
