Study of unusual atmospheric icing at Mount Zao, Japan, using the Weather Research and Forecasting model
Abstract
A mesoscale atmospheric model, the Weather Research and Forecasting model (WRF), was used for a case study that reconstructs mid-spring episodes of rime formation at Mt. Zao, Japan. One particularly interesting and rare form of rime was observed. The formations were feathery, opaque aggregates of granular ice 15-30 cm long, called "shrimp tails" in Japanese. Based on an analysis of model-generated results, we find good quantitative agreement of modeled and observed wind and temperature time series at Jizosancho ropeway station. We identified two icing events (lasting for 36 and 41 h respectively, with surface air temperatures between -6.3° and -0.1°C, relatively constant westerly winds up to 26 m s-1, and maximum cloud liquid water contents (LWC) between 0.72 and 1.05 g m-3). We confirmed that high-resolution modeling (1.1 km grid spacing) was much more accurate than simulations with coarser grids (10 and 3.3 km). The LWC during the formation period of this rare type of icing was estimated for the first time using the WRF model at Mt. Zao, and it was found to be up to several times higher than values previously used in experimental studies. We found that the joint wind speed-air temperature distribution for this type of "tail" rime was more similar to that of a hard rime or glaze, than to a soft rime. We explain the formation of "shrimp tails" by wind impact angle and report previously made laboratory results on its effect on the droplet collision efficiency and the density of rime ice.
- Publication:
-
Journal of Geophysical Research (Atmospheres)
- Pub Date:
- June 2012
- DOI:
- Bibcode:
- 2012JGRD..11712106P
- Keywords:
-
- Mt. Zao;
- WRF model;
- icing;
- in-cloud atmospheric icing;
- rime;
- wind tunnel;
- Atmospheric Composition and Structure: Cloud physics and chemistry;
- Computational Geophysics: Model verification and validation;
- Cryosphere: Ice (1863);
- Hydrology: Land/atmosphere interactions (1218;
- 1631;
- 3322);
- Atmospheric Processes: Mesoscale meteorology