This book investigates the theoretical underpinnings and practical applications of copula functions within the fields of hydrology and water resources. It provides researchers, scientists, and engineers with methods for multivariate hydrological analysis, extending traditional bivariate models to more complex trivariate or multivariate scenarios. The work draws upon established statistical principles and applies them to critical areas such as flood and drought frequency analysis, dependence analysis, and flood coincidence risk assessment. The authors aim to offer a comprehensive guide to the latest developments in copula-based hydrological research for both practitioners and advanced students.

The book is presented as a valuable guide for professionals and students in hydrology and water resources, offering insights into advanced statistical methods. Its focus on extending traditional models to multivariate applications suggests a contribution to the methodological toolkit available for complex hydrological problems. The detailed coverage of specific applications like flood and drought analysis indicates a practical orientation, aiming to equip readers with actionable techniques. The text is positioned to benefit those with a foundational understanding of copula functions seeking to engage with current research frontiers.