A novel experimental study of aeolian snow transport in Adelie Land (Antarctica)

Trouvilliez, Alexandre; Naaim-Bouvet, Florence; Genthon, Christophe; Piard, Luc; Favier, Vincent; Bellot, Hervé; Agosta, Cécile; Palerme, Cyril; Amory, Charles; Gallée, Hubert

doi:10.1016/j.coldregions.2014.09.005

Cited by 31 publications

(41 citation statements)

References 67 publications

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“…They are robust enough to withstand the polar environment for several years and are low power consuming. They are an advantageous alternative to the detection of aeolian snow transport events in remote locations (Trouvilliez et al 2014). …”

Section: B Event Detectionmentioning

confidence: 99%

“…Indeed, FlowCapt installed on remote stations with high snow height variations are frequently partially buried (Trouvilliez et al 2014). The particle speed should be evaluated on the sensor's response, as it has an influence.…”

Section: Snow Mass Flux Quantificationmentioning

confidence: 99%

“…The uncertainty due to the difference in surface elevation was propagated in the calculation using the Guide to the Expression of Uncertainty in Measurement (GUM method; see Eqs. (4) and (5) in Trouvilliez et al 2014). The error due to the difference in surface elevation in the mean value of the SPC fluxes, noted dm SPCint , is calculated using…”

mentioning

confidence: 99%

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Evaluation of the FlowCapt Acoustic Sensor for the Aeolian Transport of Snow

Trouvilliez

Naaim-Bouvet

Bellot

et al. 2015

Journal of Atmospheric and Oceanic Technology

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FlowCapt acoustic sensors, designed for measuring the aeolian transport of snow fluxes, are compared to the snow particle counter S7optical sensor, considered herein as the reference. They were compared in the French Alps at the Lac Blanc Pass, where a bench test for the aeolian transport of snow was set up. The two existing generations of FlowCapt are compared. Both seem to be good detectors for the aeolian transport of snow, especially for transport events with a flux above 1 g m 22 s 21. The second-generation FlowCapt is also compared in terms of quantification. The aeolian snow mass fluxes and snow quantity transported recorded by the secondgeneration FlowCapt are close to the integrative snow particle counter S7 fluxes for an event without precipitation, but they are underestimated when an event with precipitation is considered. When the winter season is considered, for integrative snow particle counter S7 fluxes above 20 g m 22 s 21, the second-generation FlowCapt fluxes are underestimated, regardless of precipitation. In conclusion, both generations of FlowCapt can be used as a drifting snow detector and the second generation can record an underestimation of the quantity of snow transported at one location: over the winter season, the quantity of snow transported recorded by the SPC is between 4 and 6 times greater than the quantity recorded by the second-generation FlowCapt.

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Section: B Event Detectionmentioning

confidence: 99%

Section: Snow Mass Flux Quantificationmentioning

confidence: 99%

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Evaluation of the FlowCapt Acoustic Sensor for the Aeolian Transport of Snow

Trouvilliez

Naaim-Bouvet

Bellot

et al. 2015

Journal of Atmospheric and Oceanic Technology

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“…Frequent strong winds combined with the permanent snow surface lead to frequent aeolian snow transport events (Trouvilliez et al, 2014), thereby favouring aerodynamic adjustment of the snow surface. This results in a net south-southeast orientation of the sastrugi (Fig.…”

Section: Field Areamentioning

confidence: 99%

“…The sensor is a 1 m long tube that converts the acoustic pressure caused by snow particles impacting the tube into an aeolian snow mass flux integrated over the length of the tube. The second-generation FlowCapt ™ was evaluated in the French Alps by Trouvilliez et al (2015). They reported that the instrument underestimates the aeolian snow mass flux compared to a reference optical sensor (snow particle counter S7; Sato et al, 1993), especially during snowfalls.…”

Section: Instrumentationmentioning

confidence: 99%

Brief communication: Two well-marked cases of aerodynamic adjustment of sastrugi

et al. 2016

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Abstract. In polar regions, sastrugi are a direct manifestation of drifting snow and form the main surface roughness elements. In turn, sastrugi alter the generation of atmospheric turbulence and thus modify the wind field and the aeolian snow mass fluxes. Little attention has been paid to these feedback processes, mainly because of experimental difficulties. As a result, most polar atmospheric models currently ignore sastrugi over snow-covered regions. This paper aims at quantifying the potential influence of sastrugi on the local wind field and on snow erosion over a sastrugi-covered snowfield in coastal Adélie Land, East Antarctica. We focus on two erosion events during which sastrugi responses to shifts in wind direction have been interpreted from temporal variations in drag and aeolian snow mass flux measurements during austral winter 2013. Using this data set, it is shown that (i) neutral stability, 10 m drag coefficient (C DN10 ) values are in the range of 1.3-1.5 × 10 −3 when the wind is well aligned with the sastrugi, (ii) as the wind shifts by only 20-30 • away from the streamlined direction, C DN10 increases (by 30-120 %) and the aeolian snow mass flux decreases (by 30-80 %), thereby reflecting the growing contribution of the sastrugi form drag to the total surface drag and its inhibiting effect on snow erosion, (iii) the timescale of sastrugi aerodynamic adjustment can be as short as 3 h for friction velocities greater than 1 m s −1 and during strong drifting snow conditions and (iv) knowing C DN10 is not sufficient to estimate the snow erosion flux that results from drag partitioning at the surface because C DN10 includes the contribution of the sastrugi form drag.

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