Systematic Assessment of New Snow Settlement in SNOWPACK

被引:0
|
作者
Steinkogler, W. [1 ,2 ]
Fierz, C. [1 ]
Lehning, M. [1 ]
Obleitner, F. [2 ]
机构
[1] WSL Inst Snow & Avalanche Res SLF, Davos, Switzerland
[2] Univ Innsbruck, Inst Meteorol & Geophys, Innsbruck, Austria
来源
ISSW 09 EUROPE: INTERNATIONAL SNOW SCIENCE WORKSHOP, PROCEEDINGS | 2009年
关键词
New snow; Settlement; SNOWPACK; Snow harps; PHYSICAL SNOATACK MODEL; AVALANCHE;
D O I
暂无
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
New snow settlement in the very first hours and days after a snowfall has not yet been fully understood. Modelling errors at this initial stage propagate through a whole winter season, thus affecting a correct modelling of crucial snow cover properties such as density, temperature distribution and snow depth. Up to now, parameter tuning for settling in SNOWPACK has mainly been done by visual comparison of modelled with measured settling curves. This can be accomplished by tracking model layers that correspond to positions of combined settlement and temperature sensors (snow harps). As a result, verification of model performance with in situ measurements is possible. Furthermore, using such a harp as a lower boundary condition, snow-cover evolution above this harp can be analysed irrespective of earlier simulation errors. Here comprehensive data sets obtained during a number of snowfall periods are used. In addition to snow harp data, high resolution density profiles taken in the days following a snowfall provide for further verification of the simulated snow-cover evolution. Based on these observations we present a systematic approach to assess the performance of the model both during and a few days after snowfalls. Sensitivity studies allow to locate the most important model parameters which influence the settlement of freshly deposited snow. The specific influence of both type (grain and bond sizes) and state variables (temperature) was investigated in more detail. As a consequence, a new temperature parameterisation is suggested. This proved valuable for enhanced investigation of single snowfall events, while a significant improvement of long-term simulations of snow settling is still pending.
引用
收藏
页码:132 / +
页数:2
相关论文
共 50 条
  • [21] Spatial variability of snow chemistry in an alpine snowpack, southern Wyoming
    Rohrbough, JA
    Davis, DR
    Bales, RC
    WATER RESOURCES RESEARCH, 2003, 39 (07)
  • [22] Simulating cold season snowpack: Impacts of snow albedo and multi-layer snow physics
    D. Waliser
    J. Kim
    Y. Xue
    Y. Chao
    A. Eldering
    R. Fovell
    A. Hall
    Q. Li
    K. N. Liou
    J. McWilliams
    S. Kapnick
    R. Vasic
    F. De Sale
    Y. Yu
    Climatic Change, 2011, 109 : 95 - 117
  • [23] HISTORICAL CLIMATOLOGY AND SNOWPACK RESPONSE AT CENTRAL SIERRA SNOW LABORATORY
    SMITH, JL
    BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 1978, 59 (03) : 345 - 346
  • [24] Physics of a Thick Seasonal Snowpack with Possible Implications for Snow Algae
    Dove, Adrienne
    Heldmann, Jennifer
    McKay, Christopher
    Toon, Owen B.
    ARCTIC ANTARCTIC AND ALPINE RESEARCH, 2012, 44 (01) : 36 - 49
  • [25] CNN CLASSIFICATION OF WET SNOW BY PHYSICAL SNOWPACK MODEL LABELING
    Gallet, Matthieu
    Atto, Abdourrahmane
    Trouve, Emmanuel
    Karbou, Fatima
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 5351 - 5354
  • [26] An objective snow profile comparison method and its application to SNOWPACK
    Lehning, M
    Fierz, C
    Lundy, C
    COLD REGIONS SCIENCE AND TECHNOLOGY, 2001, 33 (2-3) : 253 - 261
  • [27] Simulating cold season snowpack: Impacts of snow albedo and multi-layer snow physics
    Waliser, D.
    Kim, J.
    Xue, Y.
    Chao, Y.
    Eldering, A.
    Fovell, R.
    Hall, A.
    Li, Q.
    Liou, K. N.
    McWilliams, J.
    Kapnick, S.
    Vasic, R.
    De Sale, F.
    Yu, Y.
    CLIMATIC CHANGE, 2011, 109 : 95 - 117
  • [28] CHARACTERISTICS OF SNOWFALLS, SNOW METAMORPHISM, AND SNOWPACK STRUCTURE WITH IMPLICATIONS FOR AVALANCHING, CRAIGIEBURN RANGE, NEW-ZEALAND
    PROWSE, TD
    OWENS, IF
    ARCTIC AND ALPINE RESEARCH, 1984, 16 (01) : 107 - 118
  • [29] Microstructure representation of snow in coupled snowpack and microwave emission models
    Sandells, Melody
    Essery, Richard
    Rutter, Nick
    Wake, Leanne
    Leppanen, Leena
    Lemmetyinen, Juha
    CRYOSPHERE, 2017, 11 (01): : 229 - 246
  • [30] Validation of the SNOWPACK model in five different snow zones in Finland
    Rasmus, Sirpa
    Gronholm, Tiia
    Lehning, Michael
    Rasmus, Kai
    Kulmala, Markku
    BOREAL ENVIRONMENT RESEARCH, 2007, 12 (04): : 467 - 488