Environmental statistics is a far-reaching branch of statistics with applications in environmental science fields such as climate change, air pollution and water quality, oceanography, atmospheric science, epidemiology, agriculture, extreme weather events, and ecology. The methodologies utilized in environmental applications encompass many areas of statistics including modeling and prediction, time series analysis, spatial statistics, extreme value analysis, climate modeling, and more. The impacts of statistical analyses in environmental studies can be seen from weather prediction to government policy changes and implementations to the understanding of the impacts of our environment on human health. With the recent rise of interest in hot topics such as climate change, the NCSU working groups in environmental statistics seek to encourage discussion and understanding of these topics through seminars, reading groups, and active research collaborations. Working group meetings, such as the Spatial Statistics Reading Group and the reading group on Extremes in Geophysical Science, are informal and all interested faculty and students are encouraged to participate.