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@ARTICLE{Brdar:841894,
author = {Brdar, Slavko and Seifert, A.},
title = {{M}c{S}now - {A} {M}onte-{C}arlo {P}article {M}odel for
{R}iming and {A}ggregation of {I}ce {P}articles in a
{M}ultidimensional {M}icrophysical {P}hase {S}pace},
journal = {Journal of advances in modeling earth systems},
volume = {10},
number = {1},
issn = {1942-2466},
address = {Fort Collins, Colo.},
reportid = {FZJ-2018-00191},
pages = {187-206},
year = {2018},
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.},
cin = {JSC},
ddc = {550},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {511 - Computational Science and Mathematical Methods
(POF3-511) / Performance Analysis and Simulations for the
Project $HD(CP)^2$ $(jjsc20_20141101)$},
pid = {G:(DE-HGF)POF3-511 / $G:(DE-Juel1)jjsc20_20141101$},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000425409700010},
doi = {10.1002/2017MS001167},
url = {https://juser.fz-juelich.de/record/841894},
}