Comparison of Two-Moment Bulk Microphysics Schemes in Idealized Supercell Thunderstorm Simulations
By Hugh Morrison, Jason A. Milbrandt. 2011
210 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/e2d8bc58505d9da785e1587df56d4cb86eb8b069
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Hugh Morrison
- Jason A. Milbrandt
- George H. Bryan
- C. Hoose
- Wojciech W. Grabowski
- Jiwen Fan
- Olivier P. Prat
- A. Fridlind
In Global and Planetary Change
- Hugh Morrison
- Jason A. Milbrandt
- George H. Bryan
- C. Hoose
- Wojciech W. Grabowski
- Jiwen Fan
- A. Fridlind
- S. Xie
Citations in the corpus
- A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges (2015, background): “It is not clear if introducing graupel or hail weakens [Van Den Heever and Cotton, 2004; Cohen and McCaul, 2006; Adams-Selin et al., 2013] or strengthens [Van Weverberg et al., 2011, 2012; Morrison and Milbrandt, 2010] cold pools formed from thunderstorm outflows.”
- A Comparison of TWP-ICE Observational Data with Cloud-Resolving Model Results (2012, background): “…have a high priority given the sensitivity of results to poorly constrained ice microphysical processes [e.g., Wu et al., 2009; Fan et al., 2010b; Morrison and Milbrandt, 2011] and the considerable potential of such measurements to constrain simulation results [e.g., Matsui et al., 2009; Waliser…”
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics (2020, methodology): “…be sensitive to the representation of collision‐coalescence and breakup for some cases, via its influence on mean raindrop size (e.g., Stevens & Seifert, 2008) and hence bulk evaporation rates and cold pool characteristics (Morrison et al., 2012; Morrison & Milbrandt, 2011; Planche et al., 2019).”
- Sensitivity of a Simulated Squall Line to Horizontal Resolution and Parameterization of Microphysics (2012, unknown): “One key uncertainty inparameterizing icemicrophysics is the number and type of ice species (e.g., cloud ice, snow, graupel, hail, etc.) (Fovell and Ogura 1988; McCumber et al. 1991; Ferrier et al. 1995; Gilmore et al. 2004b; VanWeverberg et al. 2010; Morrison and Milbrandt 2011).”
- Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part II: Case Study Comparisons with Observations and Other Schemes (2015, background): “Given previous studies documenting the importance of rimed ice characteristics, especially fall speed in deep convective systems (Morrison and Milbrandt 2011; Bryan and Morrison 2012; Van Weverberg 2013; Adams-Selin 2013), both MOR-G and MOR-H are tested here.”