Blowing Snow Transport Analysis for Estimating Drift Orientation and Severity
Publication: Journal of Cold Regions Engineering
Volume 33, Issue 2
Abstract
A methodology for performing a snow drift transport analysis is provided that considers the demonstrated dependency of snow transport on approximately the fourth power of wind speed, giving much greater weight to high winds transporting snow. Data that have long sampling intervals (e.g., 3-h data) do not capture short-duration winds and tend to underpredict snow transport. This study introduces a way to account for the fluctuating component of the wind by including turbulence-intensity estimates. Its use was demonstrated via several cases studies. Based on available data, including turbulence intensity in the transport equations improved the estimate of the snow transport using 3- and 12-h data by 50%–100%. This study also illustrated the error in determining the transport wind direction from a wind rose. In an extreme case, the dominant transport direction was 180° out of phase with the prevailing wind direction determined by wind rose analysis. In two other case studies, a 50°–80° difference between the prevailing wind and dominate snow transport direction was not uncommon.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
Funding for this research and the case studies was provided by the National Science Foundation Division of Polar Programs through “Monitoring and Managing Snow Drifting and Summit Station, Greenland,” Project No. EP-ARC-15-33, and “McMurdo Snow Transport Analysis,” Project No. EP-ANT-16-62 and a Memorandum of Agreement with the Ministry of Defence of the Republic of India.
References
Beyer-Lout, A., A. S. Bova, and R. L. Peterson. 2015a. McMurdo Station snow modeling. Centennial, CO: Lockheed Martin.
Beyer-Lout, A., A. S. Bova, and R. L. Peterson. 2015b. McMurdo Station snow modeling. Centennial, CO: Lockheed Martin.
Chenoli, S. N., J. Turner, and A. A. Samah. 2013. “A climatology of strong wind events at McMurdo Station, Antarctica.” Int. J. Climatol. 33 (12): 2667–2681. https://doi.org/10.1002/joc.3617.
Dyunin, A. K. 1954. “Solid flux of snow-bearing air flow.” [In Russian.] Trudy Transportno-Engergicheskogo Instituta 4: 71–88.
Dyunin, A. K., B. A. Anfilofiyev, M. G. Istraplilovich, Y. D. Kvon, and N. Y. Mamayeva. 1977. “Strong snow storms, their effect on snow cover and snow accumulation.” J. Glaciol. 19 (81): 441–449. https://doi.org/10.1017/S0022143000029464.
Haehnel, R. B., and M. F. Bigl. 2016. Snow drift management, summit station Greenland. Hanover, NH: US Army Engineer Research and Development Center.
Haehnel, R. B., and J. Gagnon. 2016. Calculation of dominant snow transport directions at McMurdo, Antarctica. Arlington, VA: National Science Foundation.
Haehnel, R. B., and J. Weatherly. 2014. Antarctica camps snow drift management guide. Hanover, NH: US Army Engineer Research and Development Center.
Iversen, J. D. 1982. “Development of small-scale snowdrift simulation.” In Proc., Western Snow Conf. Fort Collins, CO: Colorado State Univ.
Iversen, J. D. 1986. “Snowdrift modeling in a wind tunnel.” In Proc., Symp. Snow Management for Agriculture, Swift Current, Saskatchewan, Canada. Fort Collins, CO: Great Plains Agricultural Council.
Justus, C., W. Hargraves, A. Mikhail, and D. Graber. 1978. “Methods for estimating wind speed frequency distributions.” J. Appl. Meteorol. 17 (3): 350–353. https://doi.org/10.1175/1520-0450(1978)017%3C0350:MFEWSF%3E2.0.CO;2.
Kind, R. J. 1976. “A critical examination of the requirements for model simulation of wind-induced erosion/deposition phenomenon such as snow drifting.” Atmos. Environ. 10 (3): 219–227. https://doi.org/10.1016/0004-6981(76)90094-9.
Kobayashi, D. 1972. Studies of snow transport in low-level drifting snow. Hokkaido, Japan: Institute of Low Temperature Science.
Kumar, G. 2014. “Performance of snow fence at Banihal Top in Himalayan Region.” J. Cold Reg. Eng. 29 (4): 05014001. https://doi.org/10.1061/(ASCE)CR.1943-5495.0000088.
Liston, G. E., R. B. Haehnel, M. Sturm, C. A. Hiemstra, S. Berezovskaya, and R. D. Tabler. 2007. “Simulating complex snow distributions in windy environments using SnowTran-3D.” J. Glaciol. 53 (181): 241–256. https://doi.org/10.3189/172756507782202865.
Mellor, M. 1965. Blowing snow: CRREL Monograph III-A3c. Hanover, NH: USACE, Cold Regions Research and Engineering Laboratory.
Mellor, M., and G. Fellers. 1986. Concentration and flux of wind blown snow. Hanover, NH: USACE, Cold Regions Research and Engineering Laboratory.
NOAA (National Oceanic and Atmospheric Administration). 2015a. Summit Station Greenland, 2011. Washington, DC: Earth System Research Laboratory, Global Monitoring Division, NOAA Climate Program Office.
NOAA (National Oceanic and Atmospheric Administration). 2015b. Weather Station SUM data. Washington, DC: Earth System Research Laboratory, Global Monitoring Division, NOAA Climate Program Office.
Pomeroy, J. W., D. M. Gray, and P. G. Landine. 1993. “The prairie blowing snow model: Characteristics, validation, operation.” J. Hydrol. 144 (1–4): 165–192. https://doi.org/10.1016/0022-1694(93)90171-5.
Tabler, R. D. 1994. Design guidelines for the control of blowing and drifting snow. Washington, DC: Strategic Highway Research Program, National Research Council.
Tabler, R. D., and R. L. Jairell. 1993. “Trapping efficiency of snow fences and implications for system design.” Transp. Res. Rec. 1378: 108–114.
Tabler, R. D., J. W. Pomeroy, and B. W. Santana. 1990. “Drifting snow.” In Cold regions hydrology and hydraulics: Cold regions engineering Monograph, 95–145. Reston, VA: ASCE.
Takeuchi, M. 1980. “Vertical profile and horizontal increase of drift-snow transport.” J. Glaciol. 26 (94): 481–492. https://doi.org/10.1017/S0022143000010996.
Teunissen, H. W. 1970. Characteristics of the mean wind and turbulence in the planetary boundary layer. Toronto: Univ. of Toronto and Institute for Aerospace Studies.
Weber, N. J., D. M. Rasmussen, L. M. Keller, and M. A. Lazzara. n.d. A 20 year assessment of the frequency and intensity of McMurdo area strong wind events. Madison, WI: Univ. of Wisconsin–Madison.
Information & Authors
Information
Published In
Copyright
©2019 American Society of Civil Engineers.
History
Received: Apr 10, 2018
Accepted: Nov 16, 2018
Published online: Apr 15, 2019
Published in print: Jun 1, 2019
Discussion open until: Sep 15, 2019
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.