Year of Award

2008

Document Type

Thesis

Degree Type

Master of Arts (MA)

Degree Name

Geography

Department or School/College

Department of Geography

Committee Chair

Anna Klene

Commitee Members

Faith Ann Heinsch, Joel Harper, Ulrich Kamp

Keywords

BIOME-BGC, Snow, Soil Temperature

Abstract

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.

Download

Share

COinS
 

© Copyright 2008 Deana Ann DeWire