Journal Article

FZJ-2018-00191

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png McSnow - A Monte-Carlo Particle Model for Riming and Aggregation of Ice Particles in a Multidimensional Microphysical Phase Space

Brdar, S. (Corresponding author)FZJ* ; Seifert, A.

2018
Fort Collins, Colo.

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Please use a persistent id in citations: http://hdl.handle.net/2128/17931  doi:10.1002/2017MS001167

Abstract: We present a novel Monte-Carlo ice microphysics model, McSnow, to simulate the evolution of ice particles due to deposition, aggregation, riming and sedimentation. The model is an application and extension of the super-droplet method of Shima et al. [2009] to the more complex problem of rimed ice particles and aggregates. For each individual super-particle the ice mass, rime mass, rime volume and the number of monomers is predicted establishing a four-dimensional particle size distribution. The sensitivity of the model to various assumptions is discussed based on box model and one-dimensional simulations. We show that the Monte-Carlo method provides a feasible approach to tackle this high-dimensional problem. The largest uncertainty seems to be related to the treatment of the riming processes. This calls for additional field and laboratory measurements of partially rimed snowflakes.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)
2. Performance Analysis and Simulations for the Project HD(CP)^2 (jjsc20_20141101) (jjsc20_20141101)

Appears in the scientific report 2018

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Database coverage:
; ; ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; Ebsco Academic Search ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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