A modified temperature index approach of snowmelt modeling (SDSM-MTI) using near surface soil and air temperature data was developed and tested at the Paddle River Basin (PRB) of Alberta. The ability to simulated reasonably accurate snowmelt runoff, snow water equivalent (SWE) and snow depth at PRB accurately demonstrates the advantage of using near surface soil temperature data (in addition to air temperature) in capturing the snowmelt processes. The use of soil temperature data can eliminate/replace the need of more sophisticated data proposed in recent operational snowmelt models such as updating the depletion curve, or updating snow covered area by remotely sensed data, and other site specific information. Our results show that SDSM-MTI avoids the general excessive demand for data required by energy-balance snowmelt models.
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