Date of Award:

12-2023

Document Type:

Thesis

Degree Name:

Master of Science (MS)

Department:

Mathematics and Statistics

Committee Chair(s)

Brennan Bean

Committee

Brennan Bean

Committee

Jürgen Symanzik

Committee

Yan Sun

Abstract

Mountain snowpack is an important resource for water management planning in Utah. Snow water equivalent (SWE) is the amount of water contained in a snowpack. A few organizations predict SWE throughout the United States but struggle making accurate predictions in mountainous regions. Weather stations provide accurate measurements of SWE but have limited spatial coverage that hinders the ability to make accurate estimates statewide. This thesis examines the accuracy of current models and proposes using local weather measurements to improve upon national level predictions. An R statistical software package named rsnodas implements this process while allowing the public access to a variety of temperature and SWE datasets. The package also provides a method for combining predictions from different data sources, which has the advantage of improving the stability of the predictions over time and space. This thesis includes a discussion of the general merits of the map combination approach along with potential avenues for improvement in the future.

Checksum

7a244ab693752b5a0435d21a3bbcf28f

COinS