Physical Sciences and Mathematics Commons^™

Approximating Input Data To A Snowmelt Model Using Weather Research And Forecasting Model Outputs In Lieu Of Meteorological Measurements, Scott Havens, Danny Marks, Katelyn Fitzgerald, Matt Masarik, Alejandro N. Flores, Patrick Kormos, Andrew Hedrick

Geosciences Faculty Publications and Presentations

Forecasting the timing and magnitude of snowmelt and runoff is critical to managing mountain water resources. Warming temperatures are increasing the rain–snow transition elevation and are limiting the forecasting skill of statistical models relating historical snow water equivalent to streamflow. While physically based methods are available, they require accurate estimations of the spatial and temporal distribution of meteorological variables in complex terrain. Across many mountainous areas, measurements of precipitation and other meteorological variables are limited to a few reference stations and are not adequate to resolve the complex interactions between topography and atmospheric flow. In this paper, we evaluate the …