Description

This presentation was delivered by a student in the Summer Internships in Parallel Computational Science Program (SIParCS) at the National Center for Atmospheric Research (NCAR). SIParCS embeds graduate and undergraduate students as summer interns in NCAR's Computational and Information System Laboratory, offering them significant hands-on R&D opportunities in high performance computing (HPC) and related fields that use HPC for scientific discovery and modeling. Wind speed data from the North American Regional Climate Change Assessment Program (NARCCAP) is plotted for the periods 1971-2000 and 2041-2070 for exploratory analysis. Diurnal wind speed curves are plotted for six grid points, and two scatterplot smoothing techniques are applied to each set. Linear models are fit to each curve and statistical inference is conducted to determine whether evidence exists that diurnal curves will change in the future.