Ice Particle Properties Inferred From Aggregation Modelling

Abstract We generated a large number 105,000 of aggregates composed of various monomer types and sizes using an aggregation model. Combined with hydrodynamic theory, we derived ice particle properties such as mass, projected area, and terminal velocity as a function of monomer number and size. This...

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Autores principales:	M. Karrer, A. Seifert, C. Siewert, D. Ori, A. vonLerber, S. Kneifel
Formato:	article
Lenguaje:	EN
Publicado:	American Geophysical Union (AGU) 2020
Materias:	agreggation modeling cloud microphysics ice particle properties Lagrangian modeling terminal velocity Physical geography GB3-5030 Oceanography GC1-1581
Acceso en línea:	https://doaj.org/article/dc8e503aaf0144f8b0ee6d019e3d3d7b
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spelling	oai:doaj.org-article:dc8e503aaf0144f8b0ee6d019e3d3d7b2021-11-15T14:20:26ZIce Particle Properties Inferred From Aggregation Modelling1942-246610.1029/2020MS002066https://doaj.org/article/dc8e503aaf0144f8b0ee6d019e3d3d7b2020-08-01T00:00:00Zhttps://doi.org/10.1029/2020MS002066https://doaj.org/toc/1942-2466Abstract We generated a large number 105,000 of aggregates composed of various monomer types and sizes using an aggregation model. Combined with hydrodynamic theory, we derived ice particle properties such as mass, projected area, and terminal velocity as a function of monomer number and size. This particle ensemble allows us to study the relation of particle properties with a high level of detail which is often not provided by in situ measurements. The ice particle properties change rather smoothly with monomer number. We find very little differences in all particle properties between monomers and aggregates at sizes below 1 mm which is in contrast to many microphysics schemes. The impact of the monomer type on the particle properties decreases with increasing monomer number. Whether, for example, the terminal velocity of an aggregate is larger or smaller than an equal‐size monomer depends mostly on the monomer type. We fitted commonly used power laws as well as Atlas‐type relations, which represent the saturation of the terminal velocity at large sizes (terminal velocity asymptotically approaching a limiting value) to the data set and tested the impact of incorporating different levels of complexity with idealized simulations using a 1D Lagrangian super particle model. These simulations indicate that it is sufficient to represent the monomer number dependency of ice particle properties with only two categories (monomers and aggregates). The incorporation of the saturation velocity at larger sizes is found to be important to avoid an overestimation of self‐aggregation of larger snowflakes.M. KarrerA. SeifertC. SiewertD. OriA. vonLerberS. KneifelAmerican Geophysical Union (AGU)articleagreggation modelingcloud microphysicsice particle propertiesLagrangian modelingterminal velocityPhysical geographyGB3-5030OceanographyGC1-1581ENJournal of Advances in Modeling Earth Systems, Vol 12, Iss 8, Pp n/a-n/a (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	agreggation modeling cloud microphysics ice particle properties Lagrangian modeling terminal velocity Physical geography GB3-5030 Oceanography GC1-1581
spellingShingle	agreggation modeling cloud microphysics ice particle properties Lagrangian modeling terminal velocity Physical geography GB3-5030 Oceanography GC1-1581 M. Karrer A. Seifert C. Siewert D. Ori A. vonLerber S. Kneifel Ice Particle Properties Inferred From Aggregation Modelling
description	Abstract We generated a large number 105,000 of aggregates composed of various monomer types and sizes using an aggregation model. Combined with hydrodynamic theory, we derived ice particle properties such as mass, projected area, and terminal velocity as a function of monomer number and size. This particle ensemble allows us to study the relation of particle properties with a high level of detail which is often not provided by in situ measurements. The ice particle properties change rather smoothly with monomer number. We find very little differences in all particle properties between monomers and aggregates at sizes below 1 mm which is in contrast to many microphysics schemes. The impact of the monomer type on the particle properties decreases with increasing monomer number. Whether, for example, the terminal velocity of an aggregate is larger or smaller than an equal‐size monomer depends mostly on the monomer type. We fitted commonly used power laws as well as Atlas‐type relations, which represent the saturation of the terminal velocity at large sizes (terminal velocity asymptotically approaching a limiting value) to the data set and tested the impact of incorporating different levels of complexity with idealized simulations using a 1D Lagrangian super particle model. These simulations indicate that it is sufficient to represent the monomer number dependency of ice particle properties with only two categories (monomers and aggregates). The incorporation of the saturation velocity at larger sizes is found to be important to avoid an overestimation of self‐aggregation of larger snowflakes.
format	article
author	M. Karrer A. Seifert C. Siewert D. Ori A. vonLerber S. Kneifel
author_facet	M. Karrer A. Seifert C. Siewert D. Ori A. vonLerber S. Kneifel
author_sort	M. Karrer
title	Ice Particle Properties Inferred From Aggregation Modelling
title_short	Ice Particle Properties Inferred From Aggregation Modelling
title_full	Ice Particle Properties Inferred From Aggregation Modelling
title_fullStr	Ice Particle Properties Inferred From Aggregation Modelling
title_full_unstemmed	Ice Particle Properties Inferred From Aggregation Modelling
title_sort	ice particle properties inferred from aggregation modelling
publisher	American Geophysical Union (AGU)
publishDate	2020
url	https://doaj.org/article/dc8e503aaf0144f8b0ee6d019e3d3d7b
work_keys_str_mv	AT mkarrer iceparticlepropertiesinferredfromaggregationmodelling AT aseifert iceparticlepropertiesinferredfromaggregationmodelling AT csiewert iceparticlepropertiesinferredfromaggregationmodelling AT dori iceparticlepropertiesinferredfromaggregationmodelling AT avonlerber iceparticlepropertiesinferredfromaggregationmodelling AT skneifel iceparticlepropertiesinferredfromaggregationmodelling
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Ice Particle Properties Inferred From Aggregation Modelling

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