Case study of blowing snow potential diagnosis with dynamical downscaling

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Abstract

Blowing snow potential is diagnosed for typical cases around Sapporo, Japan, as snow concentration and visibility based on dynamically downscaled data with 1-km resolution. The results are consistent with the blowing-snow records on time and place of traffic disruption, when the dynamical downscaling (DDS) reproduced wind speed well for a case. The diagnosis with mesoscale model analysis with 5-km resolution does not reproduce the blowing snow events in most area, however. Hence, the DDS potentially, not perfectly, adds the value to estimate blowing snow potential, despite a large scale-gap from an explicit representation of small-scale turbulence related to blowing snow. Sensitivity tests clarify that blowing snow requires strong wind and freezing temperature at the surface.

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APA

Tanji, S., & Inatsu, M. (2019). Case study of blowing snow potential diagnosis with dynamical downscaling. Scientific Online Letters on the Atmosphere, 15, 32–36. https://doi.org/10.2151/SOLA.2019-007

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