The role of snowmelt temporal pattern in flood estimation for a small snow-dominated basin in the Sierra Nevada

This study improves the NG-IDF technology for a snow-dominated test basin in the Sierra Nevada. A well-validated physics-based hydrologic model, the Distributed Hydrology Soil Vegetation Model (DHSVM), is used to continuously simulate snowmelt and streamflow that are used as benchmark data sets to systematically assess the NG-IDF technology.

We find that, for the studied small snow-dominated basin, the use of standard rainfall hyetographs in the NG-IDF technology leads to substantial underestimation of design floods. Thus, we propose probabilistic hyetographs that can represent unique patterns of events with different underlying mechanisms. For the test basin where flooding events are generated entirely by snowmelt, we develop a hyetograph that characterizes snowmelt temporal patterns, which greatly improves the performance of NG-IDF technology in design flood estimates.