Coupled modelling of forest snow interception and sublimation

被引:0
作者
Pomeroy, JW [1 ]
Parviainen, J [1 ]
Hedstrom, N [1 ]
Gray, DM [1 ]
机构
[1] Environm Canada, Natl Hydrol Res Inst, Saskatoon, SK S7N 3H5, Canada
来源
PROCEEDINGS OF THE FIFTY-FIFTH ANNUAL EASTERN SNOW CONFERENCE | 1998年
关键词
snow interception; sublimation; energy balance; boreal forest;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A series of process-based algorithms has been developed to describe the accumulation, unloading and sublimation of intercepted snow in forest canopies. These algorithms are unique in that they scale-up the physics of interception and sublimation from small-scales, where they are well-understood, to forest stand-scale calculations of intercepted snow sublimation. Evaluation of results from the set of algorithms against measured interception and sublimation in a southern boreal forest jack pine stand during late winter, found the coupled model provides reasonable approximations of both interception and sublimation losses on half-hourly, daily and event basis. Cumulative errors in estimate of intercepted snow load over 23 days of test were 0.05 mm SWE with a standard deviation of 0.46 mm SWE. Sublimation losses during the evaluation were high, approximately two-thirds of snowfall within this period. Seasonal intercepted snow sublimation as a portion of annual snowfall at the model test site was lower than sublimation during the tests, ranging from 13% for a mixed spruce-aspen, 31% for the mature pine and 40% for a mature spruce stand. The results indicate that sublimation can be a significant abstraction of water from mature evergreen stands in northern forests and that the losses can be calculated by application of process-based algorithms.
引用
收藏
页码:101 / 114
页数:14
相关论文
共 50 条
  • [21] The Importance of Snow Sublimation on a Himalayan Glacier
    Stigter, Emmy E.
    Litt, Maxime
    Steiner, Jakob F.
    Bonekamp, Pleun N. J.
    Shea, Joseph M.
    Bierkens, Marc F. P.
    Immerzeel, Walter W.
    FRONTIERS IN EARTH SCIENCE, 2018, 6
  • [22] Improved snow interception modeling using canopy parameters derived from airborne LiDAR data
    Moeser, D.
    Staehli, M.
    Jonas, T.
    WATER RESOURCES RESEARCH, 2015, 51 (07) : 5041 - 5059
  • [23] Detecting intercepted snow on mountain needleleaf forest canopies using satellite remote sensing
    Lv, Zhibang
    Pomeroy, John W.
    REMOTE SENSING OF ENVIRONMENT, 2019, 231
  • [24] Important Airborne Lidar Metrics of Canopy Structure for Estimating Snow Interception
    Russell, Micah
    Eitel, Jan U. H.
    Link, Timothy E.
    Silva, Carlos A.
    REMOTE SENSING, 2021, 13 (20)
  • [25] Representation of canopy snow interception, unloading and melt in a parsimonious snowmelt model
    Mahat, Vinod
    Tarboton, David G.
    HYDROLOGICAL PROCESSES, 2014, 28 (26) : 6320 - 6336
  • [26] Modelling sublimation of carbon dioxide
    Winkel, Brian
    INTERNATIONAL JOURNAL OF MATHEMATICAL EDUCATION IN SCIENCE AND TECHNOLOGY, 2012, 43 (08) : 1077 - 1085
  • [27] Snow redistribution in an intermediate-complexity snow hydrology modelling framework
    Queno, Louis
    Mott, Rebecca
    Morin, Paul
    Cluzet, Bertrand
    Mazzotti, Giulia
    Jonas, Tobias
    CRYOSPHERE, 2024, 18 (08) : 3533 - 3557
  • [28] Characterizing Maritime Snow Canopy Interception in Forested Mountains
    Roth, T. R.
    Nolin, A. W.
    WATER RESOURCES RESEARCH, 2019, 55 (06) : 4564 - 4581
  • [29] Snow interception modelling: Isolated observations have led to many land surface models lacking appropriate temperature sensitivities
    Lundquist, Jessica D.
    Dickerson-Lange, Susan
    Gutmann, Ethan
    Jonas, Tobias
    Lumbrazo, Cassie
    Reynolds, Dylan
    HYDROLOGICAL PROCESSES, 2021, 35 (07)
  • [30] Variability in shortwave irradiance caused by forest gaps: Measurements, modelling, and implications for snow energetics
    Musselman, Keith N.
    Pomeroy, John W.
    Link, Timothy E.
    AGRICULTURAL AND FOREST METEOROLOGY, 2015, 207 : 69 - 82