One the key improvements to the detailed bin microphysics model developed in Lebo and Seinfeld (2011) is the inclusion of mixed-phase hydrometeors, i.e., partially melted snow, ice, and graupel. It is well know that during melting, hydrometeors tend to retain meltwater until a sufficient amount of liquid has formed, at which point it is shed as a rain drop. Of course, for small frozen hydrometeors, shedding will not occur. Many models use simplified approaches to represent melting, i.e., instantaneous melting, immediate transfer of meltwater to rain water, etc. Using the explicit model, we can test the sensitivity of deep convective cloud systems to the representation of melting. This project forms the Master’s Thesis of Kevin Kacan.
- Current Research Projects
- Determining the roles of microphysical and dynamical factors on precipitation efficiency
- Sensitivity to microphysics parameterization using the piggybacking approach
- Examining the impacts of model resolution on convective cloud structure and characteristics
- Understanding and parameterizing aggregation
- Understanding the role of melting in deep convective cloud strength, structure, and evolution
- NWC Colloquium