Advanced Statistical Tools and Methods in Climate Change
Advanced Statistical Tools and Methods in Climate Change
Climate change adaptation stands as a paramount challenge for future decades, closely tied to anthropogenic carbon dioxide emissions, a core concern acknowledged by the scientific community and society at large. Recent times have witnessed unparalleled shifts, encompassing rising atmospheric and oceanic temperatures, altered precipitation patterns, diminishing ice and snow, and sea level elevation. Global circulation/climate models (GCMs) and regional climate models (RCMs) play pivotal roles, with GCMs covering the globe and RCMs focusing on specific areas. Innovations like time-dependent statistics, quantile regression, and copula approach facilitate in-depth analysis of extreme climate events, their impacts, and intricate relationships with environmental factors.
- Climatology
- Extreme Climate Events
- Environmental Factors
- Global Circulation Models
- Temperature Variability
- Climate Modelling
- Climate Analysis.