Process-Tracking Scheme Based on Bulk Microphysics to Diagnose the Features of Snow Particles
Author:
Affiliation:
1. Meteorological Research Institute, Japan Meteorological Agency
2. National Research Institute for Earth Science and Disaster Resilience
Publisher
Meteorological Society of Japan
Subject
Atmospheric Science
Link
https://www.jstage.jst.go.jp/article/sola/16/0/16_2020-009/_pdf
Reference36 articles.
1. Bailey, M., and J. Hallet, 2004: Growth rates and habits of ice crystals between −20° and −70°C. J. Atmos. Sci., 61, 514-544.
2. Bailey, M., and J. Hallet, 2009: A comprehensive habit diagram for atmospheric ice crystals: Confirmation from the laboratory, AIRS II, and other field studies. J. Atmos. Sci., 66, 2888-2899.
3. Bailey, M., and J. Hallet, 2012: Ice crystal linear growth rates from −20° and −70°C: Confirmation from wave cloud studies. J. Atmos. Sci., 69, 390-402.
4. Brdar, S., and A. Seifert, 2018: McSnow: A Monte-Carlo particle model for riming and aggregation of ice particles in a multidimensional microphysical phase space. J. Adv. Model. Earth Syst., 10, 187-206, doi:10.1002/2017MS001167.
5. Chen, J.-P., 1992: Numerical simulation of the redistribution of atmospheric trace chemicals through cloud processes. Ph.D. thesis, The Pennsylvania State University, 343 pp.
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