Intercomparison of large‐eddy simulations of Arctic mixed‐phase clouds: Importance of ice size distribution assumptions. (14th March 2014)
- Record Type:
- Journal Article
- Title:
- Intercomparison of large‐eddy simulations of Arctic mixed‐phase clouds: Importance of ice size distribution assumptions. (14th March 2014)
- Main Title:
- Intercomparison of large‐eddy simulations of Arctic mixed‐phase clouds: Importance of ice size distribution assumptions
- Authors:
- Ovchinnikov, Mikhail
Ackerman, Andrew S.
Avramov, Alexander
Cheng, Anning
Fan, Jiwen
Fridlind, Ann M.
Ghan, Steven
Harrington, Jerry
Hoose, Corinna
Korolev, Alexei
McFarquhar, Greg M.
Morrison, Hugh
Paukert, Marco
Savre, Julien
Shipway, Ben J.
Shupe, Matthew D.
Solomon, Amy
Sulia, Kara - Abstract:
- Abstract: Large‐eddy simulations of mixed‐phase Arctic clouds by 11 different models are analyzed with the goal of improving understanding and model representation of processes controlling the evolution of these clouds. In a case based on observations from the Indirect and Semi‐Direct Aerosol Campaign (ISDAC), it is found that ice number concentration, N i, exerts significant influence on the cloud structure. Increasing N i leads to a substantial reduction in liquid water path (LWP), in agreement with earlier studies. In contrast to previous intercomparison studies, all models here use the same ice particle properties (i.e., mass‐size, mass‐fall speed, and mass‐capacitance relationships) and a common radiation parameterization. The constrained setup exposes the importance of ice particle size distributions (PSDs) in influencing cloud evolution. A clear separation in LWP and IWP predicted by models with bin and bulk microphysical treatments is documented and attributed primarily to the assumed shape of ice PSD used in bulk schemes. Compared to the bin schemes that explicitly predict the PSD, schemes assuming exponential ice PSD underestimate ice growth by vapor deposition and overestimate mass‐weighted fall speed leading to an underprediction of IWP by a factor of two in the considered case. Sensitivity tests indicate LWP and IWP are much closer to the bin model simulations when a modified shape factor which is similar to that predicted by bin model simulation is used in bulkAbstract: Large‐eddy simulations of mixed‐phase Arctic clouds by 11 different models are analyzed with the goal of improving understanding and model representation of processes controlling the evolution of these clouds. In a case based on observations from the Indirect and Semi‐Direct Aerosol Campaign (ISDAC), it is found that ice number concentration, N i, exerts significant influence on the cloud structure. Increasing N i leads to a substantial reduction in liquid water path (LWP), in agreement with earlier studies. In contrast to previous intercomparison studies, all models here use the same ice particle properties (i.e., mass‐size, mass‐fall speed, and mass‐capacitance relationships) and a common radiation parameterization. The constrained setup exposes the importance of ice particle size distributions (PSDs) in influencing cloud evolution. A clear separation in LWP and IWP predicted by models with bin and bulk microphysical treatments is documented and attributed primarily to the assumed shape of ice PSD used in bulk schemes. Compared to the bin schemes that explicitly predict the PSD, schemes assuming exponential ice PSD underestimate ice growth by vapor deposition and overestimate mass‐weighted fall speed leading to an underprediction of IWP by a factor of two in the considered case. Sensitivity tests indicate LWP and IWP are much closer to the bin model simulations when a modified shape factor which is similar to that predicted by bin model simulation is used in bulk scheme. These results demonstrate the importance of representation of ice PSD in determining the partitioning of liquid and ice and the longevity of mixed‐phase clouds. Key Points: Constrained LES of mixed‐phase Arctic clouds from 11 models are analyzed Ice water path differences are attributed to assumed ice size distributions Bulk schemes with gamma size distributions agree better with bin schemes … (more)
- Is Part Of:
- Journal of advances in modeling earth systems. Volume 6:Number 1(2014:Mar.)
- Journal:
- Journal of advances in modeling earth systems
- Issue:
- Volume 6:Number 1(2014:Mar.)
- Issue Display:
- Volume 6, Issue 1 (2014)
- Year:
- 2014
- Volume:
- 6
- Issue:
- 1
- Issue Sort Value:
- 2014-0006-0001-0000
- Page Start:
- 223
- Page End:
- 248
- Publication Date:
- 2014-03-14
- Subjects:
- mixed‐phase clouds -- ice size distribution -- cloud microphysics -- Arctic clouds -- large‐eddy simulations
Geological modeling -- Periodicals
Climatology -- Periodicals
Geochemical modeling -- Periodicals
551.5011 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1942-2466 ↗
http://onlinelibrary.wiley.com/ ↗
http://adv-model-earth-syst.org/ ↗ - DOI:
- 10.1002/2013MS000282 ↗
- Languages:
- English
- ISSNs:
- 1942-2466
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8103.xml