Intercomparison of cloud model simulations of Arctic mixed‐phase boundary layer clouds observed during SHEBA/FIRE‐ACE

An intercomparison of six cloud‐resolving and large‐eddy simulation models is presented. This case study is based on observations of a persistent mixed‐phase boundary layer cloud gathered on 7 May, 1998 from the Surface Heat Budget of Arctic Ocean (SHEBA) and First ISCCP Regional Experiment ‐ Arctic...

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Main Authors: Morrison, Hugh, Zuidema, Paquita, Ackerman, Andrew S., Avramov, Alexander, de Boer, Gijs, Fan, Jiwen, Fridlind, Ann M., Hashino, Tempei, Harrington, Jerry Y., Luo, Yali, Ovchinnikov, Mikhail, Shipway, Ben
Format: Article in Journal/Newspaper
Language:English
Published: 2011
Subjects:
Online Access:https://doi.org/10.7916/d8-tsc5-g822
id ftcolumbiauniv:oai:academiccommons.columbia.edu:10.7916/d8-tsc5-g822
record_format openpolar
spelling ftcolumbiauniv:oai:academiccommons.columbia.edu:10.7916/d8-tsc5-g822 2023-05-15T14:58:08+02:00 Intercomparison of cloud model simulations of Arctic mixed‐phase boundary layer clouds observed during SHEBA/FIRE‐ACE Morrison, Hugh Zuidema, Paquita Ackerman, Andrew S. Avramov, Alexander de Boer, Gijs Fan, Jiwen Fridlind, Ann M. Hashino, Tempei Harrington, Jerry Y. Luo, Yali Ovchinnikov, Mikhail Shipway, Ben 2011 https://doi.org/10.7916/d8-tsc5-g822 English eng https://doi.org/10.7916/d8-tsc5-g822 Clouds--Models Eddies--Simulation methods Ice clouds Meteorology Atmospheric physics Cloud physics articles 2011 ftcolumbiauniv https://doi.org/10.7916/d8-tsc5-g822 2019-04-04T08:18:03Z An intercomparison of six cloud‐resolving and large‐eddy simulation models is presented. This case study is based on observations of a persistent mixed‐phase boundary layer cloud gathered on 7 May, 1998 from the Surface Heat Budget of Arctic Ocean (SHEBA) and First ISCCP Regional Experiment ‐ Arctic Cloud Experiment (FIRE‐ACE). Ice nucleation is constrained in the simulations in a way that holds the ice crystal concentration approximately fixed, with two sets of sensitivity runs in addition to the baseline simulations utilizing different specified ice nucleus (IN) concentrations. All of the baseline and sensitivity simulations group into two distinct quasi‐steady states associated with either persistent mixed‐phase clouds or all‐ice clouds after the first few hours of integration, implying the existence of multiple states for this case. These two states are associated with distinctly different microphysical, thermodynamic, and radiative characteristics. Most but not all of the models produce a persistent mixed‐phase cloud qualitatively similar to observations using the baseline IN/crystal concentration, while small increases in the IN/crystal concentration generally lead to rapid glaciation and conversion to the all‐ice state. Budget analysis indicates that larger ice deposition rates associated with increased IN/crystal concentrations have a limited direct impact on dissipation of liquid in these simulations. However, the impact of increased ice deposition is greatly enhanced by several interaction pathways that lead to an increased surface precipitation flux, weaker cloud top radiative cooling and cloud dynamics, and reduced vertical mixing, promoting rapid glaciation of the mixed‐phase cloud for deposition rates in the cloud layer greater than about 1 − 2 × 10−5 g kg−1 s−1 for this case. These results indicate the critical importance of precipitation‐radiative‐dynamical interactions in simulating cloud phase, which have been neglected in previous fixed‐dynamical parcel studies of the cloud phase parameter space. Large sensitivity to the IN/crystal concentration also suggests the need for improved understanding of ice nucleation and its parameterization in models. Article in Journal/Newspaper Arctic Arctic Ocean Columbia University: Academic Commons Arctic Arctic Ocean
institution Open Polar
collection Columbia University: Academic Commons
op_collection_id ftcolumbiauniv
language English
topic Clouds--Models
Eddies--Simulation methods
Ice clouds
Meteorology
Atmospheric physics
Cloud physics
spellingShingle Clouds--Models
Eddies--Simulation methods
Ice clouds
Meteorology
Atmospheric physics
Cloud physics
Morrison, Hugh
Zuidema, Paquita
Ackerman, Andrew S.
Avramov, Alexander
de Boer, Gijs
Fan, Jiwen
Fridlind, Ann M.
Hashino, Tempei
Harrington, Jerry Y.
Luo, Yali
Ovchinnikov, Mikhail
Shipway, Ben
Intercomparison of cloud model simulations of Arctic mixed‐phase boundary layer clouds observed during SHEBA/FIRE‐ACE
topic_facet Clouds--Models
Eddies--Simulation methods
Ice clouds
Meteorology
Atmospheric physics
Cloud physics
description An intercomparison of six cloud‐resolving and large‐eddy simulation models is presented. This case study is based on observations of a persistent mixed‐phase boundary layer cloud gathered on 7 May, 1998 from the Surface Heat Budget of Arctic Ocean (SHEBA) and First ISCCP Regional Experiment ‐ Arctic Cloud Experiment (FIRE‐ACE). Ice nucleation is constrained in the simulations in a way that holds the ice crystal concentration approximately fixed, with two sets of sensitivity runs in addition to the baseline simulations utilizing different specified ice nucleus (IN) concentrations. All of the baseline and sensitivity simulations group into two distinct quasi‐steady states associated with either persistent mixed‐phase clouds or all‐ice clouds after the first few hours of integration, implying the existence of multiple states for this case. These two states are associated with distinctly different microphysical, thermodynamic, and radiative characteristics. Most but not all of the models produce a persistent mixed‐phase cloud qualitatively similar to observations using the baseline IN/crystal concentration, while small increases in the IN/crystal concentration generally lead to rapid glaciation and conversion to the all‐ice state. Budget analysis indicates that larger ice deposition rates associated with increased IN/crystal concentrations have a limited direct impact on dissipation of liquid in these simulations. However, the impact of increased ice deposition is greatly enhanced by several interaction pathways that lead to an increased surface precipitation flux, weaker cloud top radiative cooling and cloud dynamics, and reduced vertical mixing, promoting rapid glaciation of the mixed‐phase cloud for deposition rates in the cloud layer greater than about 1 − 2 × 10−5 g kg−1 s−1 for this case. These results indicate the critical importance of precipitation‐radiative‐dynamical interactions in simulating cloud phase, which have been neglected in previous fixed‐dynamical parcel studies of the cloud phase parameter space. Large sensitivity to the IN/crystal concentration also suggests the need for improved understanding of ice nucleation and its parameterization in models.
format Article in Journal/Newspaper
author Morrison, Hugh
Zuidema, Paquita
Ackerman, Andrew S.
Avramov, Alexander
de Boer, Gijs
Fan, Jiwen
Fridlind, Ann M.
Hashino, Tempei
Harrington, Jerry Y.
Luo, Yali
Ovchinnikov, Mikhail
Shipway, Ben
author_facet Morrison, Hugh
Zuidema, Paquita
Ackerman, Andrew S.
Avramov, Alexander
de Boer, Gijs
Fan, Jiwen
Fridlind, Ann M.
Hashino, Tempei
Harrington, Jerry Y.
Luo, Yali
Ovchinnikov, Mikhail
Shipway, Ben
author_sort Morrison, Hugh
title Intercomparison of cloud model simulations of Arctic mixed‐phase boundary layer clouds observed during SHEBA/FIRE‐ACE
title_short Intercomparison of cloud model simulations of Arctic mixed‐phase boundary layer clouds observed during SHEBA/FIRE‐ACE
title_full Intercomparison of cloud model simulations of Arctic mixed‐phase boundary layer clouds observed during SHEBA/FIRE‐ACE
title_fullStr Intercomparison of cloud model simulations of Arctic mixed‐phase boundary layer clouds observed during SHEBA/FIRE‐ACE
title_full_unstemmed Intercomparison of cloud model simulations of Arctic mixed‐phase boundary layer clouds observed during SHEBA/FIRE‐ACE
title_sort intercomparison of cloud model simulations of arctic mixed‐phase boundary layer clouds observed during sheba/fire‐ace
publishDate 2011
url https://doi.org/10.7916/d8-tsc5-g822
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
genre_facet Arctic
Arctic Ocean
op_relation https://doi.org/10.7916/d8-tsc5-g822
op_doi https://doi.org/10.7916/d8-tsc5-g822
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