Motivated by the need to understand the microphysics and improve the remote sensing of the melting layer of precipitation, we have developed a numerical 3‐D model for the melting of single snowflakes. The model uses the smoothed particle hydrodynamics method and is forced by surface tension that controls the flow of meltwater on the ice surface. Heat transfer from the environment to the snowflake is simulated with a Monte Carlo scheme. In model experiments with snowflakes of various sizes and densities, we observed that the meltwater tends to initially gather in concave regions of the snowflake surface. These liquid water regions merge as they grow, and as meltwater is added, they form a shell of liquid around an ice core. This eventually develops into a water drop. The observed features during melting are consistent with experimental findings from earlier research, which suggests that the model is adequate for exploring the physics of snowflake melting. The principal remaining uncertainties arise from the omission of aerodynamic forces from the model. The results suggest that the degree of riming has a significant influence on the melting process: During initial melting, liquid water is apparent on the surface of unrimed or lightly rimed particles, while rime provides a porous structure that can absorb a relatively large amount of meltwater. Riming also strengthens the connections between different parts of the snowflake, making rimed snowflakes less prone to breakup during melting, while unrimed ones break up rather easily.
Journal of Geophysical Research: Atmospheres – Wiley
Published: Jan 16, 2018
Keywords: ; ; ; ;
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.
All for just $49/month
Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.
Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.
It’s easy to organize your research with our built-in tools.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera