Analyzing extreme precipitation and temperature in Central Asia as well as quantifying their main and interactive effects under multiple uncertainties

Hydrometeorological extreme value analysis (EVA) is complicated with multiple-uncertain methodological choices, such as extreme event sampling (EES), stationary/non-stationary assumption (SNA), and parameter estimation (PE). In this study, a factorial extreme value analysis (FEVA) method is developed through integrating four EESs, four SNAs and two PEs into a mixed-level factorial experiment framework. FEVA can not only identify the main …