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
  • [41] Energy and surface moisture seasonally limit evaporation and sublimation from snow-free alpine tundra
    Knowles, John F.
    Blanken, Peter D.
    Williams, Mark W.
    Chowanski, Kurt M.
    AGRICULTURAL AND FOREST METEOROLOGY, 2012, 157 : 106 - 115
  • [42] Influence of canopy shading and snow coverage on effective albedo in a snow-dominated evergreen needleleaf forest
    Webster, Clare
    Jonas, Tobias
    REMOTE SENSING OF ENVIRONMENT, 2018, 214 : 48 - 58
  • [43] Sublimation from thin snow cover at the edge of the Eurasian cryosphere in Mongolia
    Zhang, Yinsheng
    Ishikawa, M.
    Ohata, T.
    Oyunbaatar, D.
    HYDROLOGICAL PROCESSES, 2008, 22 (18) : 3564 - 3575
  • [44] Hydrometeorological effects of intercepted snow in an eastern Siberian taiga forest using a land-surface model
    Yamazaki, Takeshi
    Yabuki, Hironori
    Ohata, Tetsuo
    HYDROLOGICAL PROCESSES, 2007, 21 (09): : 1148 - 1156
  • [45] An Evaluation of Forest Snow Process Simulations
    Essery, Richard
    Rutter, Nick
    Pomeroy, John
    Baxter, Robert
    Stahli, Manfred
    Gustafsson, David
    Barr, Alan
    Bartlett, Paul
    Elder, Kelly
    BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2009, 90 (08) : 1120 - +
  • [46] Snow accumulation following forest disturbance
    Boon, Sarah
    ECOHYDROLOGY, 2012, 5 (03) : 279 - 285
  • [47] Turbulent fluxes during blowing snow: field tests of model sublimation predictions
    Pomeroy, JW
    Essery, RLH
    HYDROLOGICAL PROCESSES, 1999, 13 (18) : 2963 - 2975
  • [48] The impact of coniferous forest temperature on incoming longwave radiation to melting snow
    Pomeroy, John W.
    Marks, Danny
    Link, Tim
    Ellis, Chad
    Hardy, Janet
    Rowlands, Aled
    Granger, Raoul
    HYDROLOGICAL PROCESSES, 2009, 23 (17) : 2513 - 2525
  • [49] UAV-Based Estimate of Snow Cover Dynamics: Optimizing Semi-Arid Forest Structure for Snow Persistence
    Belmonte, Adam
    Sankey, Temuulen
    Biederman, Joel
    Bradford, John
    Goetz, Scott
    Kolb, Thomas
    REMOTE SENSING, 2021, 13 (05)
  • [50] On the role of vegetation density on net snow cover radiation at the forest floor
    Seyednasrollah, Bijan
    Kumar, Mukesh
    Link, Timothy E.
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2013, 118 (15) : 8359 - 8374