Articles | Volume 18, issue 10
https://doi.org/10.5194/tc-18-4775-2024
https://doi.org/10.5194/tc-18-4775-2024
Research article
 | 
22 Oct 2024
Research article |  | 22 Oct 2024

Elucidation of spatiotemporal structures from high-resolution blowing-snow observations

Kouichi Nishimura, Masaki Nemoto, Yoichi Ito, Satoru Omiya, Kou Shimoyama, and Hirofumi Niiya

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Cited articles

Aksamit, N. O. and Pomeroy, J. W.: Near-surface snow particle dynamics from particle tracking velocimetry and turbulence measurements during alpine blowing snow storms, The Cryosphere, 10, 3043–3062, https://doi.org/10.5194/tc-10-3043-2016, 2016. 
Aksamit, N. O. and Pomeroy, J. W.: The Effect of Coherent Structures in the Atmospheric Surface Layer on Blowing-Snow Transport, Bound. Meteorol., 167, 211–233, https://doi.org/10.1007/s10546-017-0318-2, 2017. 
Aksamit, N. O. and Pomeroy, J. W.: Scale Interactions in Turbulence for Mountain Blowing Snow, J. Hydrometeorol., 19, 305–320, https://doi.org/10.1175/JHM-D-17-0179.1, 2018. 
Baas, A. C. W. and Sherman, D. J.: Formation and behaviour of aeolian streamers, J. Geophys. Res., 110, F03011, https://doi.org/10.1029/2004JF000270, 2005. 
Bauer, B., Yi, J., Namikas, S., and Sherman, D.: Event detection and conditional averaging in unsteady aeolian systems, J. Arid Environ., 39, 345–375, 1998. 
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Short summary
It is crucial to consider organized structures such as turbulence sweeps and ejections when discussing the onset and development of snow transport. This study aims to systematically measure blowing and drifting snow to investigate their spatiotemporal structures. To achieve this goal, we have deployed 15 snow particle counters (SPCs) in designated test areas and are conducting measurements using an equal number of ultrasonic anemometers, providing high-temporal-resolution data.