Empirical Model for Snow/Ground Reflectivity PredictionPublic Deposited
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The thesis describes the development of an empirical model for predicting snow/ground reflectivity. The new model is derived based on point measurements of global horizontal and reflected solar radiation taken for a fifteen-month period (December 2016 - April 2018), at Carleton University, Ottawa. An algorithm is developed for three periods: ground free of snow, non-melting or snow accumulation, and snow melting. The main predictors of reflectivity were found to be the following: zenith angle, cloud cover, snow age, and the difference between the ambient temperature and a threshold temperature which signals the beginning of daily snow melting.
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- Copyright © 2018 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
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