Markov mixture models for drought lengths

Markov mixture models combine a Markov model for transitions between low and normal streamflow states with a mixture model blending two normal subpopulations. The models are particularly effective for generating synthetic streamflow records with long and severe droughts. Their use in a hypothetical planning problem illustrates the application of a set of modeling precepts.