Case Study of Blowing Snow Potential Diagnosis with Dynamical Downscaling
- 1Hokkaido University, Graduate school of science, Natural History Sciences, Sapporo, Japan (seika@sci.hokudai.ac.jp)
- 2Hokkaido University, Faculty of science, Natural History Sciences, Sapporo, Japan (inaz@sci.hokudai.ac.jp)
Blowing snow potential is diagnosed for typical cases in roads 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. Moreover, the DDS-based diagnosis had a strength on the onset and cease of blowing snow in the event. 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. The meteorological forecast with 1-km resolution might improve the estimate of blowing snow potential.
How to cite: Tanji, S. and Inatsu, M.: Case Study of Blowing Snow Potential Diagnosis with Dynamical Downscaling, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2123, https://doi.org/10.5194/egusphere-egu2020-2123, 2020