Selection of Climate Station Data Using Clustering and Triangulated IrregularNetwork Techniques

摘要

This report presents a methodology of adding an elevation variable to the processof selecting climate station data for computer modeling. Various techniques are used in this method which include statistical correlation of climatic variables, clustering of climate station data, and development of a triangulated irregular network (TIN) internal graphic layer with nodes representing climate station locations. Improvements to the climate station data selection process are documented. Correlation, Clustering, Triangulated irregular networks, Climatology, Modeling.