Simulation of snow accumulation and melt in needleleaf forest environments

Drawing upon numerous field studies and modelling exercises of snow processes, the Cold Regions Hydrological Model (CRHM) was developed to simulate the four season hydrological cycle in cold regions. CRHM includes modules describing radiative, turbulent and conductive energy exchanges to snow in ope...

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Main Authors: C. R. Ellis, J. W. Pomeroy, T. Brown, J. MacDonald
Format: Article
Language:English
Published: Copernicus Publications 2010-06-01
Series:Hydrology and Earth System Sciences
Online Access:http://www.hydrol-earth-syst-sci.net/14/925/2010/hess-14-925-2010.pdf
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spelling doaj-a5e68913c13145c88b9545657c1672e82020-11-25T00:19:13ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382010-06-0114692594010.5194/hess-14-925-2010Simulation of snow accumulation and melt in needleleaf forest environmentsC. R. EllisJ. W. PomeroyT. BrownJ. MacDonaldDrawing upon numerous field studies and modelling exercises of snow processes, the Cold Regions Hydrological Model (CRHM) was developed to simulate the four season hydrological cycle in cold regions. CRHM includes modules describing radiative, turbulent and conductive energy exchanges to snow in open and forest environments, as well as account for losses from canopy snow sublimation and rain evaporation. Due to the physical-basis and rigorous testing of each module, there is a minimal need for model calibration. To evaluate CRHM, simulations of snow accumulation and melt were compared to observations collected at paired forest and clearing sites of varying latitude, elevation, forest cover density, and climate. Overall, results show that CRHM is capable of characterising the variation in snow accumulation between forest and clearing sites, achieving a model efficiency of 0.51 for simulations at individual sites. Simulations of canopy sublimation losses slightly overestimated observed losses from a weighed cut tree, having a model efficiency of 0.41 for daily losses. Good model performance was demonstrated in simulating energy fluxes to snow at the clearings, but results were degraded from this under forest cover due to errors in simulating sub-canopy net longwave radiation. However, expressed as cumulative energy to snow over the winter, simulated values were 96% and 98% of that observed at the forest and clearing sites, respectively. Overall, the good representation of the substantial variations in mass and energy between forest and clearing sites suggests that CRHM may be useful as an analytical or predictive tool for snow processes in needleleaf forest environments. http://www.hydrol-earth-syst-sci.net/14/925/2010/hess-14-925-2010.pdf
collection DOAJ
language English
format Article
sources DOAJ
author C. R. Ellis
J. W. Pomeroy
T. Brown
J. MacDonald
spellingShingle C. R. Ellis
J. W. Pomeroy
T. Brown
J. MacDonald
Simulation of snow accumulation and melt in needleleaf forest environments
Hydrology and Earth System Sciences
author_facet C. R. Ellis
J. W. Pomeroy
T. Brown
J. MacDonald
author_sort C. R. Ellis
title Simulation of snow accumulation and melt in needleleaf forest environments
title_short Simulation of snow accumulation and melt in needleleaf forest environments
title_full Simulation of snow accumulation and melt in needleleaf forest environments
title_fullStr Simulation of snow accumulation and melt in needleleaf forest environments
title_full_unstemmed Simulation of snow accumulation and melt in needleleaf forest environments
title_sort simulation of snow accumulation and melt in needleleaf forest environments
publisher Copernicus Publications
series Hydrology and Earth System Sciences
issn 1027-5606
1607-7938
publishDate 2010-06-01
description Drawing upon numerous field studies and modelling exercises of snow processes, the Cold Regions Hydrological Model (CRHM) was developed to simulate the four season hydrological cycle in cold regions. CRHM includes modules describing radiative, turbulent and conductive energy exchanges to snow in open and forest environments, as well as account for losses from canopy snow sublimation and rain evaporation. Due to the physical-basis and rigorous testing of each module, there is a minimal need for model calibration. To evaluate CRHM, simulations of snow accumulation and melt were compared to observations collected at paired forest and clearing sites of varying latitude, elevation, forest cover density, and climate. Overall, results show that CRHM is capable of characterising the variation in snow accumulation between forest and clearing sites, achieving a model efficiency of 0.51 for simulations at individual sites. Simulations of canopy sublimation losses slightly overestimated observed losses from a weighed cut tree, having a model efficiency of 0.41 for daily losses. Good model performance was demonstrated in simulating energy fluxes to snow at the clearings, but results were degraded from this under forest cover due to errors in simulating sub-canopy net longwave radiation. However, expressed as cumulative energy to snow over the winter, simulated values were 96% and 98% of that observed at the forest and clearing sites, respectively. Overall, the good representation of the substantial variations in mass and energy between forest and clearing sites suggests that CRHM may be useful as an analytical or predictive tool for snow processes in needleleaf forest environments.
url http://www.hydrol-earth-syst-sci.net/14/925/2010/hess-14-925-2010.pdf
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