Answers are grounded in this paper and cite their sources.
Basic concepts such as conditional probability distributions, conditional return periods, and joint return periods are important to understand and to interpret multivariate hydrological events such as floods and storms. However, these concepts are not well documented in the open literature. This paper assembles and clarifies these concepts, and illustrates their practical utility. Relationships between joint return periods and univariate return periods are also derived. These concepts and relationships are demonstrated by applying a bivariate extreme value distribution to represent the joint distribution of flood peak and volume from an actual basin.
No takes yet. Share an insight, caveat, or question.
Yue et al. (2002) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: