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    Snow Sublimation in Mountain Environments and Its Sensitivity to Forest Disturbance and Climate Warming

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    Name:
    Sexstone_et_al-2018-Water_Reso ...
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    Author
    Sexstone, Graham A.
    Clow, David W.
    Fassnacht, Steven R.
    Liston, Glen E.
    Hiemstra, Christopher A.
    Knowles, John F.
    Penn, Colin A.
    Affiliation
    Univ Arizona, Sch Geog & Dev
    Issue Date
    2018-02-06
    Keywords
    sublimation
    SnowModel
    eddy covariance
    Colorado Rocky Mountains
    bark beetles
    climate warming
    
    Metadata
    Show full item record
    Publisher
    AMER GEOPHYSICAL UNION
    Citation
    Sexstone, G. A., Clow, D. W., Fassnacht, S. R., Liston, G. E., Hiemstra, C. A., Knowles, J. F., & Penn, C. A. (2018). Snow sublimation in mountain environments and its sensitivity to forest disturbance and climate warming. Water Resources Research, 54, 1191–1211. https://doi.org/10.1002/2017WR021172
    Journal
    WATER RESOURCES RESEARCH
    Rights
    © 2018. American Geophysical Union. All Rights Reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Snow sublimation is an important component of the snow mass balance, but the spatial and temporal variability of this process is not well understood in mountain environments. This study combines a process-based snow model (SnowModel) with eddy covariance (EC) measurements to investigate (1) the spatio-temporal variability of simulated snow sublimation with respect to station observations, (2) the contribution of snow sublimation to the ablation of the snowpack, and (3) the sensitivity and response of snow sublimation to bark beetle-induced forest mortality and climate warming across the north-central Colorado Rocky Mountains. EC-based observations of snow sublimation compared well with simulated snow sublimation at stations dominated by surface and canopy sublimation, but blowing snow sublimation in alpine areas was not well captured by the EC instrumentation. Water balance calculations provided an important validation of simulated sublimation at the watershed scale. Simulated snow sublimation across the study area was equivalent to 28% of winter precipitation on average, and the highest relative snow sublimation fluxes occurred during the lowest snow years. Snow sublimation from forested areas accounted for the majority of sublimation fluxes, highlighting the importance of canopy and sub-canopy surface sublimation in this region. Simulations incorporating the effects of tree mortality due to bark-beetle disturbance resulted in a 4% reduction in snow sublimation from forested areas. Snow sublimation rates corresponding to climate warming simulations remained unchanged or slightly increased, but total sublimation losses decreased by up to 6% because of a reduction in snow covered area and duration.
    Note
    6 month embargo; published online: 06 February 2018
    ISSN
    0043-1397
    1944-7973
    DOI
    10.1002/2017WR021172
    Version
    Final published version
    Sponsors
    USGS Water Availability and Use Science Program; USGS Climate and Land Use Change Program; NSF [DEB 1027341]
    Additional Links
    https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2017WR021172
    ae974a485f413a2113503eed53cd6c53
    10.1002/2017WR021172
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