Engineering Commons^™

Application Of A K-Nearest Neighbour Weather Generator For Simulation Of Historical And Future Climate Variables In The Upper Thames River Basin, Leanna M. King

Electronic Thesis and Dissertation Repository

Climate change has the potential to significantly alter the hydrologic cycle, changing the frequency and intensity of precipitation events in an area. It is necessary to quantify these effects to effectively manage water resources in the future. Atmosphere-Ocean coupled Global Circulation Models (AOGCMs), often used in climate change research, have spatial resolutions that are too large to capture the local climate characteristics of a watershed. As a result, several downscaling tools have been developed, including stochastic weather generators. A methodology for the simulation of historical and future climate data using a nonparametric K-Nearest Neighbour block resampling weather generator with perturbation …