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Title: Scaling of an Atmospheric Model to Simulate Turbulence and Cloud Microphysics in the Pi Chamber

Abstract

The Pi Cloud Chamber offers a unique opportunity to study aerosol-cloud microphysics interactions in a steady-state, turbulent environment. In this work, an atmospheric large-eddy simulation (LES) model with spectral bin microphysics is scaled down to simulate these interactions, allowing comparison with experimental results. A simple scalar flux budget model is developed and used to explore the effect of sidewalls on the bulk mixing temperature, water vapor mixing ratio, and supersaturation. The scaled simulation and the simple scalar flux budget model produce comparable bulk mixing scalar values. The LES dynamics results are compared with particle image velocimetry measurements of turbulent kinetic energy, energy dissipation rates, and large-scale oscillation frequencies from the cloud chamber. These simulated results match quantitatively to experimental results. Finally, with the bin microphysics included the LES is able to simulate steady-state cloud conditions and broadening of the cloud droplet size distributions with decreasing droplet number concentration, as observed in the experiments. The results further suggest that collision-coalescence does not contribute significantly to this broadening. This opens a path for further detailed intercomparison of laboratory and simulation results for model validation and exploration of specific physical processes.

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3];  [1]; ORCiD logo [1]; ORCiD logo [4]; ORCiD logo [1]
  1. Michigan Technological Univ., Houghton, MI (United States)
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  3. Brookhaven National Lab. (BNL), Upton, NY (United States)
  4. Univ. of Utah, Salt Lake City, UT (United States)
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23); National Science Foundation (NSF)
OSTI Identifier:
1560175
Alternate Identifier(s):
OSTI ID: 1560177; OSTI ID: 1561247; OSTI ID: 1572498
Report Number(s):
BNL-212056-2019-JAAM; PNNL-SA-142731
Journal ID: ISSN 1942-2466
Grant/Contract Number:  
SC0012704; AC05-76RLO1830; AC05-76RL01830
Resource Type:
Published Article
Journal Name:
Journal of Advances in Modeling Earth Systems
Additional Journal Information:
Journal Volume: 11; Journal Issue: 7; Journal ID: ISSN 1942-2466
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Thomas, Subin, Ovchinnikov, Mikhail, Yang, Fan, Voort, Dennis, Cantrell, Will, Krueger, Steven K., and Shaw, Raymond A. Scaling of an Atmospheric Model to Simulate Turbulence and Cloud Microphysics in the Pi Chamber. United States: N. p., 2019. Web. doi:10.1029/2019MS001670.
Thomas, Subin, Ovchinnikov, Mikhail, Yang, Fan, Voort, Dennis, Cantrell, Will, Krueger, Steven K., & Shaw, Raymond A. Scaling of an Atmospheric Model to Simulate Turbulence and Cloud Microphysics in the Pi Chamber. United States. doi:10.1029/2019MS001670.
Thomas, Subin, Ovchinnikov, Mikhail, Yang, Fan, Voort, Dennis, Cantrell, Will, Krueger, Steven K., and Shaw, Raymond A. Wed . "Scaling of an Atmospheric Model to Simulate Turbulence and Cloud Microphysics in the Pi Chamber". United States. doi:10.1029/2019MS001670.
@article{osti_1560175,
title = {Scaling of an Atmospheric Model to Simulate Turbulence and Cloud Microphysics in the Pi Chamber},
author = {Thomas, Subin and Ovchinnikov, Mikhail and Yang, Fan and Voort, Dennis and Cantrell, Will and Krueger, Steven K. and Shaw, Raymond A.},
abstractNote = {The Pi Cloud Chamber offers a unique opportunity to study aerosol-cloud microphysics interactions in a steady-state, turbulent environment. In this work, an atmospheric large-eddy simulation (LES) model with spectral bin microphysics is scaled down to simulate these interactions, allowing comparison with experimental results. A simple scalar flux budget model is developed and used to explore the effect of sidewalls on the bulk mixing temperature, water vapor mixing ratio, and supersaturation. The scaled simulation and the simple scalar flux budget model produce comparable bulk mixing scalar values. The LES dynamics results are compared with particle image velocimetry measurements of turbulent kinetic energy, energy dissipation rates, and large-scale oscillation frequencies from the cloud chamber. These simulated results match quantitatively to experimental results. Finally, with the bin microphysics included the LES is able to simulate steady-state cloud conditions and broadening of the cloud droplet size distributions with decreasing droplet number concentration, as observed in the experiments. The results further suggest that collision-coalescence does not contribute significantly to this broadening. This opens a path for further detailed intercomparison of laboratory and simulation results for model validation and exploration of specific physical processes.},
doi = {10.1029/2019MS001670},
journal = {Journal of Advances in Modeling Earth Systems},
number = 7,
volume = 11,
place = {United States},
year = {2019},
month = {5}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1029/2019MS001670

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Works referenced in this record:

Numerical and Laboratory Study of Horizontally Evolving Convective Boundary Layer. Part II: Effects of Elevated Wind Shear and Surface Roughness
journal, March 2001


Cloud Resolving Modeling of the ARM Summer 1997 IOP: Model Formulation, Results, Uncertainties, and Sensitivities
journal, February 2003


A continuous spectral aerosol-droplet microphysics model
journal, January 2011


Broadening of Modeled Cloud Droplet Spectra Using Bin Microphysics in an Eulerian Spatial Domain
journal, November 2018

  • Morrison, Hugh; Witte, Mikael; Bryan, George H.
  • Journal of the Atmospheric Sciences, Vol. 75, Issue 11
  • DOI: 10.1175/JAS-D-18-0055.1

A new method for large-eddy simulations of clouds with Lagrangian droplets including the effects of turbulent collision
journal, June 2012


Large-eddy estimate of the turbulent dissipation rate using PIV
journal, April 2015

  • Bertens, Guus; van der Voort, Dennis; Bocanegra-Evans, Humberto
  • Experiments in Fluids, Vol. 56, Issue 5
  • DOI: 10.1007/s00348-015-1945-3

Numerical Simulation of Cloud–Clear Air Interfacial Mixing
journal, July 2004


Large-eddy simulation of maritime deep tropical convection
journal, December 2009

  • Khairoutdinov, Marat F.; Krueger, Steve K.; Moeng, Chin-Hoh
  • Journal of Advances in Modeling Earth Systems, Vol. 2
  • DOI: 10.3894/JAMES.2009.1.15

Aerosol removal and cloud collapse accelerated by supersaturation fluctuations in turbulence: TURBULENCE-INDUCED CLOUD CLEANSING
journal, May 2017

  • Chandrakar, K. K.; Cantrell, W.; Ciochetto, D.
  • Geophysical Research Letters, Vol. 44, Issue 9
  • DOI: 10.1002/2017GL072762

New perspectives in turbulent Rayleigh-Bénard convection
journal, July 2012


Influence of Microphysical Variability on Stochastic Condensation in a Turbulent Laboratory Cloud
journal, January 2018

  • Desai, N.; Chandrakar, K. K.; Chang, K.
  • Journal of the Atmospheric Sciences, Vol. 75, Issue 1
  • DOI: 10.1175/JAS-D-17-0158.1

Shallow cumulus convection: A validation of large-eddy simulation against aircraft and Landsat observations
journal, July 2003

  • Neggers, R. A. J.; Duynkerke, P. G.; Rodts, S. M. A.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 129, Issue 593
  • DOI: 10.1256/qj.02.93

Notes on the state-of-the-art numerical modeling of cloud microphysics
journal, December 2000


Supersaturation Fluctuations during the Early Stage of Cumulus Formation
journal, April 2017

  • Siebert, Holger; Shaw, Raymond A.
  • Journal of the Atmospheric Sciences, Vol. 74, Issue 4
  • DOI: 10.1175/JAS-D-16-0115.1

Stratocumulus-capped mixed layers derived from a three-dimensional model
journal, June 1980

  • Deardorff, James W.
  • Boundary-Layer Meteorology, Vol. 18, Issue 4
  • DOI: 10.1007/BF00119502

Modeling aerosol growth by aqueous chemistry in a nonprecipitating stratiform cloud
journal, January 2010

  • Ovchinnikov, Mikhail; Easter, Richard C.
  • Journal of Geophysical Research, Vol. 115, Issue D14
  • DOI: 10.1029/2009JD012816

Numerics and subgrid‐scale modeling in large eddy simulations of stratocumulus clouds
journal, May 2017

  • Pressel, Kyle G.; Mishra, Siddhartha; Schneider, Tapio
  • Journal of Advances in Modeling Earth Systems, Vol. 9, Issue 2
  • DOI: 10.1002/2016MS000778

Aerosol indirect effect from turbulence-induced broadening of cloud-droplet size distributions
journal, November 2016

  • Chandrakar, Kamal Kant; Cantrell, Will; Chang, Kelken
  • Proceedings of the National Academy of Sciences, Vol. 113, Issue 50
  • DOI: 10.1073/pnas.1612686113

Evaluation of Large-Eddy Simulations via Observations of Nocturnal Marine Stratocumulus
journal, June 2005

  • Stevens, Bjorn; Moeng, Chin-Hoh; Ackerman, Andrew S.
  • Monthly Weather Review, Vol. 133, Issue 6
  • DOI: 10.1175/MWR2930.1

Cloud droplet size distribution broadening during diffusional growth: ripening amplified by deactivation and reactivation
journal, January 2018

  • Yang, Fan; Kollias, Pavlos; Shaw, Raymond A.
  • Atmospheric Chemistry and Physics, Vol. 18, Issue 10
  • DOI: 10.5194/acp-18-7313-2018

Modeling of Stratocumulus Cloud Layers in a Large Eddy Simulation Model with Explicit Microphysics
journal, August 1995


Droplet dynamics and fine-scale structure in a shearless turbulent mixing layer with phase changes
journal, February 2017

  • Götzfried, Paul; Kumar, Bipin; Shaw, Raymond A.
  • Journal of Fluid Mechanics, Vol. 814
  • DOI: 10.1017/jfm.2017.23

Influence of Turbulent Fluctuations on Cloud Droplet Size Dispersion and Aerosol Indirect Effects
journal, September 2018

  • Chandrakar, K. K.; Cantrell, W.; Shaw, R. A.
  • Journal of the Atmospheric Sciences, Vol. 75, Issue 9
  • DOI: 10.1175/JAS-D-18-0006.1

Numerical and Laboratory Study of a Horizontally Evolving Convective Boundary Layer. Part I: Transition Regimes and Development of the Mixed Layer
journal, January 2001


Intercomparison of large-eddy simulations of Arctic mixed-phase clouds: Importance of ice size distribution assumptions
journal, March 2014

  • Ovchinnikov, Mikhail; Ackerman, Andrew S.; Avramov, Alexander
  • Journal of Advances in Modeling Earth Systems, Vol. 6, Issue 1
  • DOI: 10.1002/2013MS000282

A Large Eddy Simulation Intercomparison Study of Shallow Cumulus Convection
journal, May 2003


The super-droplet method for the numerical simulation of clouds and precipitation: a particle-based and probabilistic microphysics model coupled with a non-hydrostatic model
journal, July 2009

  • Shima, S.; Kusano, K.; Kawano, A.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 135, Issue 642
  • DOI: 10.1002/qj.441

Ice formation in Arctic mixed-phase clouds: Insights from a 3-D cloud-resolving model with size-resolved aerosol and cloud microphysics
journal, January 2009

  • Fan, Jiwen; Ovtchinnikov, Mikhail; Comstock, Jennifer M.
  • Journal of Geophysical Research, Vol. 114, Issue D4
  • DOI: 10.1029/2008JD010782

Resolution and domain-size sensitivity in implicit large-eddy simulation of the stratocumulus-topped boundary layer: ILES OF THE STRATOCUMULUS-TOPPED BOUNDARY LAYER
journal, June 2016

  • Pedersen, Jesper G.; Malinowski, Szymon P.; Grabowski, Wojciech W.
  • Journal of Advances in Modeling Earth Systems, Vol. 8, Issue 2
  • DOI: 10.1002/2015MS000572

Modeling of Cloud Microphysics: Can We Do Better?
journal, April 2019

  • Grabowski, Wojciech W.; Morrison, Hugh; Shima, Shin-Ichiro
  • Bulletin of the American Meteorological Society, Vol. 100, Issue 4
  • DOI: 10.1175/BAMS-D-18-0005.1

Observations, Experiments, and Large Eddy Simulation
journal, February 2001


Large-Eddy Simulation of a Stratus-Topped Boundary Layer. Part I: Structure and Budgets
journal, December 1986


Large-Eddy Simulations of Strongly Precipitating, Shallow, Stratocumulus-Topped Boundary Layers
journal, December 1998


The multidimensional positive definite advection transport algorithm: nonoscillatory option
journal, February 1990


The potential impacts of pollution on a nondrizzling stratus deck: Does aerosol number matter more than type?
journal, January 2008

  • Andrejczuk, M.; Reisner, J. M.; Henson, B.
  • Journal of Geophysical Research, Vol. 113, Issue D19
  • DOI: 10.1029/2007JD009445

A New Cloud Physics Parameterization in a Large-Eddy Simulation Model of Marine Stratocumulus
journal, January 2000


A Laboratory Facility to Study Gas–Aerosol–Cloud Interactions in a Turbulent Environment: The Π Chamber
journal, December 2016

  • Chang, K.; Bench, J.; Brege, M.
  • Bulletin of the American Meteorological Society, Vol. 97, Issue 12
  • DOI: 10.1175/BAMS-D-15-00203.1

Large-Eddy Simulations of Trade Wind Cumuli: Investigation of Aerosol Indirect Effects
journal, June 2006

  • Xue, Huiwen; Feingold, Graham
  • Journal of the Atmospheric Sciences, Vol. 63, Issue 6
  • DOI: 10.1175/JAS3706.1

A large-eddy model for cirrus clouds with explicit aerosol and ice microphysics and Lagrangian ice particle tracking
journal, September 2010

  • Sölch, Ingo; Kärcher, Bernd
  • Quarterly Journal of the Royal Meteorological Society, Vol. 136, Issue 653
  • DOI: 10.1002/qj.689

A Large Eddy Simulation Model with Explicit Microphysics: Validation against Aircraft Observations of a Stratocumulus-Topped Boundary Layer
journal, July 1999


Scale Dependence of Cloud Microphysical Response to Turbulent Entrainment and Mixing
journal, November 2018

  • Kumar, Bipin; Götzfried, Paul; Suresh, Neethi
  • Journal of Advances in Modeling Earth Systems, Vol. 10, Issue 11
  • DOI: 10.1029/2018MS001487