A New Bulk Microphysical Scheme That Includes Riming Intensity and Temperature-Dependent Ice Characteristics
By Yanluan Lin, Brian A. Colle. 2011
183 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/401b57f9703bc54633971148428b9b3de2900d71
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
- C. Hoose
- Wojciech W. Grabowski
- Olivier P. Prat
- A. Fridlind
- Matthew R. Kumjian
- A. Korolev
In Global and Planetary Change
- Hugh Morrison
- Jason A. Milbrandt
- C. Hoose
- Wojciech W. Grabowski
- A. Fridlind
- Matthew R. Kumjian
- A. Korolev
- J. Harrington
Citations in the corpus
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics (2020, methodology): “…such as particle aspect ratio, rime mass fraction, liquid fraction, and density without using predefined ice categories (Cholette et al., 2019; Harrington et al., 2013; Jensen et al., 2017; Lin & Colle, 2011; Milbrandt & Morrison, 2016; Morrison & Grabowski, 2008; Morrison & Milbrandt, 2015).”
- Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part I: Scheme Description and Idealized Tests (2015, methodology): “Lin and Colle (2011) included separate categories for cloud and precipitating ice and diagnosed the degree of riming and ice particle properties (mass–size and fall speed–size relationships) for precipitating ice as a function of the ratio of the riming to the riming plus vapor deposition growth…”
- A Description of the Advanced Research WRF Model Version 4 (2019, methodology): “All parameterization production terms are based on Lin et al. (1983) and Rutledge and Hobbs (1984) with some modifications, including condensation adjustment with saturation assumptions following Tao et al. (1989) and ice sedimentation.”