Measured and modelled above‐ and below‐canopy turbulent fluxes for a snow‐dominated mountain forest using GEOtop

• Published in: Hydrological processes Vol. 33; no. 18; pp. 2464 - 2480
• Main Authors: Fullhart, Andrew T., Kelleners, Thijs J., Speckman, Heather N., Beverly, Daniel, Ewers, Brent E., Frank, John M., Massman, William J.
• Format: Journal Article
• Language: English
• Published: Chichester Wiley Subscription Services, Inc 30-08-2019
• Subjects: Aquatic ecosystems; Canopies; Canopy; Coastal inlets; Coniferous forests; Covariance; Decay; Diurnal; Eddy covariance; Energy balance; Enthalpy; Fluctuations; forest; Forests; Glacial lakes; Glaciers; Heat; Heat flux; Heat transfer; Induction heating; Lakes; Latent heat; Latent heat flux; modelling; Moisture content; Mountain forests; Mountains; Predictions; Sensible and latent heat; Sensible heat; Sensible heat flux; Sensible heat transfer; Snow; snow cover; Snowmelt; Soil; Soil surfaces; Soil temperature; Soil water; Soils; Solar radiation; Stream discharge; Stream flow; Surface energy; Surface energy balance; Surface properties; Surface temperature; Temperature; Turbulent fluxes; Watersheds
• ISSN: 0885-6087; 1099-1085
• DOI: 10.1002/hyp.13487

The prediction of snowmelt in mountainous forests strongly depends on the accurate description of sensible and latent heat turbulent fluxes. Uncertainty about the within‐canopy wind conditions especially poses a challenge, with relatively few studies examining both above‐ and below‐canopy turbulent fluxes. In this study, turbulent flux predictions from a state‐of‐the‐art watershed model GEOtop were verified against eddy covariance data from one above‐canopy tower and two below‐canopy towers in a snow‐dominated coniferous forest in south‐eastern Wyoming. The model was applied in one‐dimensional vertical mode using field‐observed vegetation parameters and laboratory‐measured soil water retention data. The model was calibrated by identifying optimum values for the canopy fraction and the within‐canopy eddy decay coefficient using the brute‐force method. Above‐canopy sensible heat flux at the Glacier Lakes Ecosystem Experiments Site was predicted reasonably well (r2 = .851). The prediction of above‐canopy latent heat flux was weaker (r2 = .426). For latent heat flux, errors in 30‐min values offset each other when fluxes were aggregated over time, resulting in realistic mean diurnal trends. Below‐canopy turbulent flux at two sites in the Libby Creek Experimental Watershed were predicted with variable success with r2 = .031–.146 for sensible heat flux and r2 = .445–.581 for latent heat flux. Modelled below‐canopy sensible heat flux was too low due to the underestimation of daytime ground surface temperature, because of not enough solar radiation reaching the soil surface. This study suggests that future work on GEOtop and related models should include better parameterizations of the ground surface energy balance to more reliably predict snowmelt and streamflow from mountainous forests.