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Back analysis of drifting-snow measurements over an instrumented mountainous site

  • Florence Naaim-Bouvet (a1), Hervé Bellot (a1) and Mohamed Naaim (a1)

Abstract

The NEMO numerical model of drifting snow, whose general outlines are presented in this paper, is based on a physical model for saltation and turbulent diffusion. The model needs a set of input parameters including fall velocity, threshold shear velocity, shear velocity, mass concentration and roughness, which are obtained from empirical formulae and wind speed measured at a given height. To better determine the required field data in an alpine context, our experimental site, Col du Lac Blanc (2700ma.s.l.), French Alps, was first equipped with one anemometer and blowing-snow acoustic sensors, which proved not to be accurate enough for research purposes in the current state of development even though a new calibration curve was used. We therefore set up a Snow Particle Counter and we returned to the traditional, robust mechanical traps and a 10 m mast with six anemometers, two temperature sensors and a depth sensor to better determine friction velocity and aerodynamic roughness. Based on the studied drifting-snow events we conclude: (1) the proportionality of the aerodynamic roughness to the square of the friction velocity was confirmed, but with a varying proportionality ratio depending on the snowdrift event; (2) values of σsUF were relatively well approximated by empirical formulae from data originating from Antarctica, and (3) snowdrift concentration profiles obtained by Pomeroy’s semi-empirical formulae for the saltation layer coupled with a theoretical approach for the diffusion layer overestimated the concentration profiles for the studied blowing-snow event.

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References

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Anderson, R.S. and Haff, P.K.. 1991. Wind modification and bed response during saltation of sand in air. In Barndorff-Nielsen, O.E. and Willetts, B.B., eds. Aeolian grain transport: mechanics. Vienna, etc., Springer, 2152. (Acta Mechanica. Supplementum 1.)
Andreas, E.L., Jordan, R.E., Guest, P.S., Persson, O.G., Grachev, A.A. and Fairall, C.W.. 2004. Roughness lengths over snow. In Proceedings of the 18th Conference on Hydrology of the American Meteorological Society 11–15 January 2004, Seattle, WA. Washington, DC, American Meteorological Society. CD-ROM JP4.31.
Bintanja, R., Lilienthal, H. and Tüg, H.. 2001. Observations of snowdrift over Antarctic snow and blue-ice surfaces. Ann. Glaciol., 32, 168174.
Brun, E., David, P., Sudul, M. and Brunot, G.. 1992. A numerical model to simulate snow-cover stratigraphy for operational avalanche forecasting. J. Glaciol., 38(128), 1322.
Budd, W.F., Dingle, W.R.J. and Radok, U.. 1966. The Byrd snow drift project: outline and basic results. In Rubin, M.J., ed. Studies in Antarctic meteorology. Washington, DC, American Geophysical Union, 71134. (Antarctic Research Series 9.)
Chritin, V., Bolognesi, R. and Gubler, H.. 1999. FlowCapt: a new acoustic sensor to measure snowdrift and wind velocity for avalanche forecasting. Cold Reg. Sci. Technol., 30(1–3), 125133.
Cierco, F.-X., Naaim-Bouvet, F. and Bellot, H.. 2007. Acoustic sensors for snowdrift measurements: how should they be used for research purposes? Cold Reg. Sci. Technol., 49(1), 7487.
Doorschot, J., Raderschall, N. and Lehning, M.. 2001. Measurements and one-dimensional model calculations of snow transport over a mountain ridge. Ann. Glaciol., 32, 153158.
Doorschot, J.J.J., Lehning, M. and Vrouwe, A.. 2004. Field measurements of snow-drift threshold and mass fluxes, and related model simulations. Bound.-Layer Meteorol., 113(3), 347368.
Font, D., Naaim-Bouvet, F. and Roussel, M.. 1998. Drifting-snow acoustic detector: experimental tests in La Molina, Spanish Pyrenees. Ann. Glaciol., 26, 221224.
Font, D., Sato, T., Kosugi, K., Sato, A. and Vilaplana, J.M.. 2001. Mass-flux measurements in a cold wind tunnel: comparison of the mechanical traps with a snow-particle counter. Ann. Glaciol., 32, 121124.
Gauer, P. 1998. Blowing and drifting snow in Alpine terrain: numerical simulation and related field measurements. Ann. Glaciol., 26, 174178.
Gordon, M. and Taylor, P.A.. 2009. Measurements of blowing snow, Part I: particle shape, size distribution, velocity, and number flux at Churchill, Manitoba, Canada. Cold Reg. Sci. Technol., 55(1), 6374.
Jha, S.K. and Bombardelli, F.A.. 2009. Two-phase modeling of turbulence in dilute sediment-laden, open-channel flows. Environ. Fluid Mech., 9(2), 237266.
Lehning, M. and 8 others. 2002. Snow drift: acoustic sensors for avalanche warning and research. Natur. Hazards Earth Syst. Sci. (NHESS), 2(3/4), 121128.
Liston, G.E., Brown, R.L. and Dent, J.D.. 1993. A two-dimensional computational model of turbulent atmospheric surface flows with drifting snow. Ann. Glaciol., 18, 281286.
Mann, G.W., Anderson, P.S. and Mobbs, S.D.. 2000. Profile measurements of blowing snow at Halley, Antarctica. J. Geophys. Res., 105(D19), 24,49124,508.
Mellor, M. and Fellers, G.. 1986. Concentration and flux of windblown snow. CRREL Spec. Rep. 86–11.
Mellor, M. and Radok, U.. 1960. Some properties of drifting snow. In Antarctic meteorology: proceedings of the symposium held in Melbourne, Australia, February 1959. Oxford, etc., Pergamon Press, 333346.
Michaux, J.L., Naaim-Bouvet, F. and Naaim, M.. 2001. Drifting-snow studies over an instrumented mountainous site: II. Measurements and numerical model at small scale. Ann. Glaciol., 32, 175181.
Naaim, M. and Martinez, H.. 1995. Experimental and theoretical determination of concentration profiles and influence of particle characteristics in blowing snow. Surv. Geophys., 16(5–6), 695710.
Naaim, M., Naaim-Bouvet, F. and Martinez, H.. 1998. Numerical simulation of drifting snow: erosion and deposition models. Ann. Glaciol., 26, 191196.
Naaim-Bouvet, F., Naaim, M. and Martinez, H.. 1996. Profils de concentration de la neige soufflée: théorie, résolution numérique et validation expérimentale in situ. Houille Blanche, 51(5), 5357.
Naaim-Bouvet, F., Durand, Y., Michaux, J.-L., Guyomarc’h, G., Naaim, M. and Merindol, L.. 2000. Numerical experiments of wind transport over a mountainous instrumented site at small, medium and large scales. In Proceedings of the International Snow Science Workshop 2000, 2–6 October 2000, Big Sky, Montana, USA. Bozeman, MT, American Avalanche Association, 302308.
Owen, P.R. 1964. Saltation of uniform grains in air. J. Fluid Mech., 20(2), 225242.
Pomeroy, J.W. and Gray, D.M.. 1990. Saltation of snow. Water Resour. Res., 26(7), 15831594.
Pomeroy, J.W. and Gray, D.M. 1993. The Prairie Blowing Snow Model: characteristics, validation, operation. J. Hydrol., 144, 165192.
Reynolds, A.J. 1976. The variation of turbulent Prandtl and Schmidt numbers in wakes and jets. Int. J. Heat Mass Transfer, 19(7), 77577764.
Sato, T., Kimura, T., Ishimaru, T. and Maruyama, T.. 1993. Field test of a new snow-particle counter (SPC) system. Ann. Glaciol., 18, 149154.
Savelyev, S.A., Gordon, M., Hanesiak, J., Papakyriakou, T. and Taylor, P.A.. 2006. Blowing snow studies in the Canadian Arctic Shelf Exchange Study, 2003–04. Hydrol. Process., 20(4), 817827.
Schmidt, R.A. 1986. Transport rate of drifting snow and the mean wind speed profile. Bound.-Layer Meteorol., 34(3), 13241.
Sugiura, K., Nishimura, K., Maeno, N. and Kimura, T.. 1998. Measurements of snow mass flux and transport rate at different particle diameters in drifting snow. Cold Reg. Sci. Technol., 27(2), 8389.
Sundsbø, P.-A. 1997. Numerical modeling and simulation of snow accumulaton around porous fences. In Proceedings of the International Snow Science Workshop, 6–11 October 1996, Banff, Alberta, Canada. Revelstoke, B.C., Canadian Avalanche Association, 135–39.
Tabler, R.D. 1980. Self-similarity of wind profiles in blowing snow allows outdoor modeling. J. Glaciol., 26(94), 421434.
Takeuchi, M. 1980. Vertical profile and horizontal increase of drift-snow transport. J. Glaciol., 26(94), 481492.

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