Resolving small-scale forest snow patterns using an energy-balance snow model with a 1-layer canopy

Water Resources Research
By: , and 



Modelling spatiotemporal dynamics of snow in forests is challenging, as involved processes are strongly dependent on small-scale canopy properties. In this study, we explore how local canopy structure information can be integrated in a medium-complexity energy-balance snow model to replicate observed snow patterns at very high spatial resolutions. Snow depth distributions simulated with the Flexible Snow Model (FSM2) were tested against extensive experimental data acquired in discontinuous subalpine forest stands in Eastern Switzerland over three winters. While the default canopy implementation in FSM2 fails to capture the observed snow depth variability, performance is considerably improved when local canopy cover fraction and hemispherical sky view fraction are additionally accounted for (30% reduction in RMSE). However, realistic snow depth distribution patterns throughout the season are only achieved if effective temperatures of near and distant canopy elements are discerned, and if a mechanism to mimic preferential deposition of snow in canopy gaps is included. We demonstrate that by diversifying the canopy structure input in order to reflect respective portions of the canopy relevant to different processes, even a simple model based on widely used process parametrizations and canopy metrics can be applied for high-resolution simulations of the sub-canopy snow cover with just a few modifications. The presented approaches could be implemented in commonly used land surface models, allowing upscaling experiments and development of sub-grid parametrizations without necessitating complex high-resolution models.

Study Area

Publication type Article
Publication Subtype Journal Article
Title Resolving small-scale forest snow patterns using an energy-balance snow model with a 1-layer canopy
Series title Water Resources Research
DOI 10.1029/2019WR026129
Volume 56
Issue 1
Year Published 2020
Language English
Publisher Wiley
Contributing office(s) New Mexico Water Science Center
Description e2019WR026129, 22 p.
Country Switzerland
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