Advanced Statistical Tools and Methods in Climate Change

Climate change adaptation is one of the most pressing issues that humanity will confront in the future decades. This has something to do with greenhouse gas emissions, specifically anthropogenic carbon dioxide emissions. The scientific community and the majority of society embrace Climate Change. Unprecedented changes (increases in atmospheric and oceanic temperature (T), changes in the spatiotemporal variability of precipitation (P) (including more intense events), decreases in ice, snow, and groundwater levels, and rises in sea level) have been recorded in recent decades. Global circulation/climate models (GCMs) and regional climate models are the two main types of models used in climatology (RCMs). GCMs can be run for the entire world, whereas RCMs can only be conducted for a portion of the world. Novel analysis techniques such as time-dependent statistics of extremes, quantile regression, and copula approach. These tools enable extensive investigation of a variety of extreme climate occurrences, as well as estimating the degree of their influence and identifying structural links between extremes and environmental parameters.