Representation of microphysical processes in cloud‐resolving models: Spectral (bin) microphysics versus bulk parameterization
By Alexander Khain, Klaus D. Beheng, Andrew J. Heymsfield, A. Korolev, S. Krichak, Z. Levin, Mark Pinsky, V. Phillips, Thara Prabhakaran, A. Teller and 2 more. 2015
363 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/198fee8f7304b80364860282981f6cfd2aba92bb
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
- Jiwen Fan
- Xiaohong Liu
- Wojciech W. Grabowski
- Olivier P. Prat
- A. Fridlind
In Global and Planetary Change
- Hugh Morrison
- Jason A. Milbrandt
- C. Hoose
- Xiaohong Liu
- Jiwen Fan
- Wojciech W. Grabowski
- A. Fridlind
- Matthew R. Kumjian
Citations in the corpus
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics (2020, methodology): “…of cloud, weather, and climate modeling are sensitive to the representation of these microphysical processes (e.g., Clark et al., 2012; Gettelman et al., 2013; Posselt & Lohmann, 2009; Stein et al., 2015; Weisman et al., 2008; among many others; see also Khain et al., 2015 and references therein).”
- Review of Aerosol–Cloud Interactions: Mechanisms, Significance, and Challenges (2016, background): “Khain et al. (2015) summarized that different microphysical parameterizations could lead to very different hail properties and aerosol impacts on hailstone amount and size.”