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Title: Toward low-cloud-permitting cloud superparameterization with explicit boundary layer turbulence

Abstract

Systematic biases in the representation of boundary layer (BL) clouds are a leading source of uncertainty in climate projections. A variation on superparameterization (SP) called “ultraparameterization” (UP) is developed, in which the grid spacing of the cloud-resolving models (CRMs) is fine enough (250 × 20 m) to explicitly capture the BL turbulence, associated clouds, and entrainment in a global climate model capable of multiyear simulations. UP is implemented within the Community Atmosphere Model using 2° resolution (~14,000 embedded CRMs) with one-moment microphysics. By using a small domain and mean-state acceleration, UP is computationally feasible today and promising for exascale computers. Short-duration global UP hindcasts are compared with SP and satellite observations of top-of-atmosphere radiation and cloud vertical structure. The most encouraging improvement is a deeper BL and more realistic vertical structure of subtropical stratocumulus (Sc) clouds, due to stronger vertical eddy motions that promote entrainment. Results from 90 day integrations show climatological errors that are competitive with SP, with a significant improvement in the diurnal cycle of offshore Sc liquid water. Ongoing concerns with the current UP implementation include a dim bias for near-coastal Sc that also occurs less prominently in SP and a bright bias over tropical continental deepmore » convection zones. Nevertheless, UP makes global eddy-permitting simulation a feasible and interesting alternative to conventionally parameterized GCMs or SP-GCMs with turbulence parameterizations for studying BL cloud-climate and cloud-aerosol feedback.« less

Authors:
 [1]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [2];  [3]
  1. Univ. of California, Irvine, CA (United States). Dept. of Earth System Science
  2. Univ. of Washington, Seattle, WA (United States). Dept. of Atmospheric Sciences
  3. Stony Brook Univ., NY (United States). School of Marine and Atmospheric Sciences
Publication Date:
Research Org.:
Univ. of California, Irvine, CA (United States); Univ. of Washington, Seattle, WA (United States); Stony Brook Univ., NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1425466
Grant/Contract Number:  
SC0012548; SC0012451; SC0012488; AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Advances in Modeling Earth Systems
Additional Journal Information:
Journal Volume: 9; Journal Issue: 3; Journal ID: ISSN 1942-2466
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; ultraparameterization; superparameterization; cloud-resolving model; shallow clouds; marine boundary layer; general circulation model

Citation Formats

Parishani, Hossein, Pritchard, Michael S., Bretherton, Christopher S., Wyant, Matthew C., and Khairoutdinov, Marat. Toward low-cloud-permitting cloud superparameterization with explicit boundary layer turbulence. United States: N. p., 2017. Web. doi:10.1002/2017MS000968.
Parishani, Hossein, Pritchard, Michael S., Bretherton, Christopher S., Wyant, Matthew C., & Khairoutdinov, Marat. Toward low-cloud-permitting cloud superparameterization with explicit boundary layer turbulence. United States. doi:10.1002/2017MS000968.
Parishani, Hossein, Pritchard, Michael S., Bretherton, Christopher S., Wyant, Matthew C., and Khairoutdinov, Marat. Mon . "Toward low-cloud-permitting cloud superparameterization with explicit boundary layer turbulence". United States. doi:10.1002/2017MS000968. https://www.osti.gov/servlets/purl/1425466.
@article{osti_1425466,
title = {Toward low-cloud-permitting cloud superparameterization with explicit boundary layer turbulence},
author = {Parishani, Hossein and Pritchard, Michael S. and Bretherton, Christopher S. and Wyant, Matthew C. and Khairoutdinov, Marat},
abstractNote = {Systematic biases in the representation of boundary layer (BL) clouds are a leading source of uncertainty in climate projections. A variation on superparameterization (SP) called “ultraparameterization” (UP) is developed, in which the grid spacing of the cloud-resolving models (CRMs) is fine enough (250 × 20 m) to explicitly capture the BL turbulence, associated clouds, and entrainment in a global climate model capable of multiyear simulations. UP is implemented within the Community Atmosphere Model using 2° resolution (~14,000 embedded CRMs) with one-moment microphysics. By using a small domain and mean-state acceleration, UP is computationally feasible today and promising for exascale computers. Short-duration global UP hindcasts are compared with SP and satellite observations of top-of-atmosphere radiation and cloud vertical structure. The most encouraging improvement is a deeper BL and more realistic vertical structure of subtropical stratocumulus (Sc) clouds, due to stronger vertical eddy motions that promote entrainment. Results from 90 day integrations show climatological errors that are competitive with SP, with a significant improvement in the diurnal cycle of offshore Sc liquid water. Ongoing concerns with the current UP implementation include a dim bias for near-coastal Sc that also occurs less prominently in SP and a bright bias over tropical continental deep convection zones. Nevertheless, UP makes global eddy-permitting simulation a feasible and interesting alternative to conventionally parameterized GCMs or SP-GCMs with turbulence parameterizations for studying BL cloud-climate and cloud-aerosol feedback.},
doi = {10.1002/2017MS000968},
journal = {Journal of Advances in Modeling Earth Systems},
number = 3,
volume = 9,
place = {United States},
year = {2017},
month = {6}
}

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    Works referencing / citing this record:

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    journal, April 2013

    • Bogenschutz, Peter A.; Krueger, Steven K.
    • Journal of Advances in Modeling Earth Systems, Vol. 5, Issue 2
    • DOI: 10.1002/jame.20018

    The GASS/EUCLIPSE model intercomparison of the stratocumulus transition as observed during ASTEX: LES results: Astex SCU Transition-LES Results
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    • van der Dussen, J. J.; de Roode, S. R.; Ackerman, A. S.
    • Journal of Advances in Modeling Earth Systems, Vol. 5, Issue 3
    • DOI: 10.1002/jame.20033

    Diurnal variability of low clouds in the Southeast Pacific simulated by a multiscale modeling framework model: DIURNAL VARIABILITY OF LOW CLOUDS IN MMF
    journal, August 2013

    • Cheng, Anning; Xu, Kuan-Man
    • Journal of Geophysical Research: Atmospheres, Vol. 118, Issue 16
    • DOI: 10.1002/jgrd.50683

    The distribution and variability of low-level cloud in the North Atlantic trades: Distribution and Variability of Low-level Cloud in the Trades
    journal, February 2014

    • Nuijens, L.; Serikov, I.; Hirsch, L.
    • Quarterly Journal of the Royal Meteorological Society, Vol. 140, Issue 684
    • DOI: 10.1002/qj.2307

    The dynamics of stratocumulus: Aircraft observations and comparisons with a mixed layer model
    journal, October 1984

    • Nicholls, S.
    • Quarterly Journal of the Royal Meteorological Society, Vol. 110, Issue 466
    • DOI: 10.1002/qj.49711046603

    An intercomparison of radiatively driven entrainment and turbulence in a smoke cloud, as simulated by different numerical models
    journal, January 1999

    • Bretherton, C. S.; Macvean, M. K.; Bechtold, P.
    • Quarterly Journal of the Royal Meteorological Society, Vol. 125, Issue 554
    • DOI: 10.1002/qj.49712555402

    Processes Responsible for Cloud Feedback
    journal, October 2016


    Clouds at Barbados are representative of clouds across the trade wind regions in observations and climate models
    journal, May 2016

    • Medeiros, Brian; Nuijens, Louise
    • Proceedings of the National Academy of Sciences, Vol. 113, Issue 22
    • DOI: 10.1073/pnas.1521494113

    The Explicit-Cloud Parameterized-Pollutant hybrid approach for aerosol–cloud interactions in multiscale modeling framework models: tracer transport results
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    • Gustafson Jr, William I.; Berg, Larry K.; Easter, Richard C.
    • Environmental Research Letters, Vol. 3, Issue 2
    • DOI: 10.1088/1748-9326/3/2/025005

    Cloud-Top Entrainment in Stratocumulus Clouds
    journal, January 2017


    On entrainment rates in nocturnal marine stratocumulus
    journal, October 2003

    • Stevens, Bjorn; Lenschow, Donald H.; Faloona, Ian
    • Quarterly Journal of the Royal Meteorological Society, Vol. 129, Issue 595
    • DOI: 10.1256/qj.02.202

    Towards Global Large Eddy Simulation: Super-Parameterization Revisited
    journal, January 2016

    • Grabowski, Wojciech W.
    • Journal of the Meteorological Society of Japan. Ser. II, Vol. 94, Issue 4
    • DOI: 10.2151/jmsj.2016-017

    Southeast Pacific stratocumulus clouds, precipitation and boundary layer structure sampled along 20° S during VOCALS-REx
    journal, January 2010

    • Bretherton, C. S.; Wood, R.; George, R. C.
    • Atmospheric Chemistry and Physics, Vol. 10, Issue 21
    • DOI: 10.5194/acp-10-10639-2010

    Historical (1850–2000) gridded anthropogenic and biomass burning emissions of reactive gases and aerosols: methodology and application
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    • Lamarque, J. -F.; Bond, T. C.; Eyring, V.
    • Atmospheric Chemistry and Physics, Vol. 10, Issue 15
    • DOI: 10.5194/acp-10-7017-2010

    Large-eddy simulation of mesoscale dynamics and entrainment around a pocket of open cells observed in VOCALS-REx RF06
    journal, January 2011

    • Berner, A. H.; Bretherton, C. S.; Wood, R.
    • Atmospheric Chemistry and Physics, Vol. 11, Issue 20
    • DOI: 10.5194/acp-11-10525-2011

    Coupled vs. decoupled boundary layers in VOCALS-REx
    journal, January 2011

    • Jones, C. R.; Bretherton, C. S.; Leon, D.
    • Atmospheric Chemistry and Physics, Vol. 11, Issue 14
    • DOI: 10.5194/acp-11-7143-2011

    The multi-scale aerosol-climate model PNNL-MMF: model description and evaluation
    journal, January 2011


    Toward low-cloud-permitting cloud superparameterization with explicit boundary layer turbulence -- simulation data
    dataset, January 2019

    • Parishani, Hossein; Pritchard, Michael; Bretherton, Christopher
    • UC Irvine
    • DOI: 10.7280/d1th5t