Year of Award
Master of Arts (MA)
Department or School/College
Department of Geography
Faith Ann Heinsch, Joel Harper, Ulrich Kamp
BIOME-BGC, Snow, Soil Temperature
University of Montana
Many watersheds throughout the mountain west are snow-melt dominated. Recent studies suggest that climatic shifts throughout the 20th century have diminished snowpack around the west, a trend that may accelerate in the future. Loss of critical snowpack could negatively affect the ecosystems and communities that have come to depend on it. Process models offer a way to illuminate the effects of climate change on snowpack. BIOME-BGC, a well established eco-system process model, contains a simple snow melt model for predicting daily snow water equivalent (SWE). The model requires standard daily meteorological data and can, therefore, be extrapolated over long periods of record. This research evaluated the effectiveness of BIOME-BGC (v4.2) at predicting SWE, snowpack evolution, and soil temperature. Then, several physically based algorithms were incorporated into current model logic and model behavior was evaluated. Finally, a new degree-day algorithm was presented and assessed for inclusion into future versions of BIOME-BGC. The study concluded that the new degree-day algorithm should be investigated further as it offered the best results.
DeWire, Deana Ann, "ASSESSMENT AND POTENTIAL ADJUSTMENTS TO THE SNOW-RELATED ALGORITHMS IN BIOME-BGC, v4.2" (2008). Graduate Student Theses, Dissertations, & Professional Papers. 75.
© Copyright 2008 Deana Ann DeWire