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Title: Are atmospheric updrafts a key to unlocking climate forcing and sensitivity?

Abstract

Both climate forcing and climate sensitivity persist as stubborn uncertainties limiting the extent to which climate models can provide actionable scientific scenarios for climate change. A key, explicit control on cloud–aerosol interactions, the largest uncertainty in climate forcing, is the vertical velocity of cloud-scale updrafts. Model-based studies of climate sensitivity indicate that convective entrainment, which is closely related to updraft speeds, is an important control on climate sensitivity. Updraft vertical velocities also drive many physical processes essential to numerical weather prediction.Vertical velocities and their role in atmospheric physical processes have been given very limited attention in models for climate and numerical weather prediction. The relevant physical scales range down to tens of meters and are thus frequently sub-grid and require parameterization. Many state-of-science convection parameterizations provide mass fluxes without specifying vertical velocities, and parameterizations that do provide vertical velocities have been subject to limited evaluation against what have until recently been scant observations. Atmospheric observations imply that the distribution of vertical velocities depends on the areas over which the vertical velocities are averaged. Distributions of vertical velocities in climate models may capture this behavior, but it has not been accounted for when parameterizing cloud and precipitation processes in current models.Newmore » observations of convective vertical velocities offer a potentially promising path toward developing process-level cloud models and parameterizations for climate and numerical weather prediction. Taking account of the scale dependence of resolved vertical velocities offers a path to matching cloud-scale physical processes and their driving dynamics more realistically, with a prospect of reduced uncertainty in both climate forcing and sensitivity.« less

Authors:
ORCiD logo; ORCiD logo; ; ;
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1329440
Alternate Identifier(s):
OSTI ID: 1377545
Grant/Contract Number:  
SC0004534; AC02-05CH11231
Resource Type:
Published Article
Journal Name:
Atmospheric Chemistry and Physics (Online)
Additional Journal Information:
Journal Name: Atmospheric Chemistry and Physics (Online) Journal Volume: 16 Journal Issue: 20; Journal ID: ISSN 1680-7324
Publisher:
Copernicus Publications, EGU
Country of Publication:
Germany
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Donner, Leo J., O'Brien, Travis A., Rieger, Daniel, Vogel, Bernhard, and Cooke, William F. Are atmospheric updrafts a key to unlocking climate forcing and sensitivity?. Germany: N. p., 2016. Web. doi:10.5194/acp-16-12983-2016.
Donner, Leo J., O'Brien, Travis A., Rieger, Daniel, Vogel, Bernhard, & Cooke, William F. Are atmospheric updrafts a key to unlocking climate forcing and sensitivity?. Germany. https://doi.org/10.5194/acp-16-12983-2016
Donner, Leo J., O'Brien, Travis A., Rieger, Daniel, Vogel, Bernhard, and Cooke, William F. Thu . "Are atmospheric updrafts a key to unlocking climate forcing and sensitivity?". Germany. https://doi.org/10.5194/acp-16-12983-2016.
@article{osti_1329440,
title = {Are atmospheric updrafts a key to unlocking climate forcing and sensitivity?},
author = {Donner, Leo J. and O'Brien, Travis A. and Rieger, Daniel and Vogel, Bernhard and Cooke, William F.},
abstractNote = {Both climate forcing and climate sensitivity persist as stubborn uncertainties limiting the extent to which climate models can provide actionable scientific scenarios for climate change. A key, explicit control on cloud–aerosol interactions, the largest uncertainty in climate forcing, is the vertical velocity of cloud-scale updrafts. Model-based studies of climate sensitivity indicate that convective entrainment, which is closely related to updraft speeds, is an important control on climate sensitivity. Updraft vertical velocities also drive many physical processes essential to numerical weather prediction.Vertical velocities and their role in atmospheric physical processes have been given very limited attention in models for climate and numerical weather prediction. The relevant physical scales range down to tens of meters and are thus frequently sub-grid and require parameterization. Many state-of-science convection parameterizations provide mass fluxes without specifying vertical velocities, and parameterizations that do provide vertical velocities have been subject to limited evaluation against what have until recently been scant observations. Atmospheric observations imply that the distribution of vertical velocities depends on the areas over which the vertical velocities are averaged. Distributions of vertical velocities in climate models may capture this behavior, but it has not been accounted for when parameterizing cloud and precipitation processes in current models.New observations of convective vertical velocities offer a potentially promising path toward developing process-level cloud models and parameterizations for climate and numerical weather prediction. Taking account of the scale dependence of resolved vertical velocities offers a path to matching cloud-scale physical processes and their driving dynamics more realistically, with a prospect of reduced uncertainty in both climate forcing and sensitivity.},
doi = {10.5194/acp-16-12983-2016},
journal = {Atmospheric Chemistry and Physics (Online)},
number = 20,
volume = 16,
place = {Germany},
year = {Thu Oct 20 00:00:00 EDT 2016},
month = {Thu Oct 20 00:00:00 EDT 2016}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.5194/acp-16-12983-2016

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Cited by: 43 works
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Works referenced in this record:

Uncertainty in predictions of the climate response to rising levels of greenhouse gases
journal, January 2005

  • Stainforth, D. A.; Aina, T.; Christensen, C.
  • Nature, Vol. 433, Issue 7024
  • DOI: 10.1038/nature03301

How does increasing horizontal resolution in a global climate model improve the simulation of aerosol-cloud interactions?: RESOLUTION DEPENDENCE OF AIF
journal, June 2015

  • Ma, Po-Lun; Rasch, Philip J.; Wang, Minghuai
  • Geophysical Research Letters, Vol. 42, Issue 12
  • DOI: 10.1002/2015GL064183

Aerosol indirect effects in a multi-scale aerosol-climate model PNNL-MMF
journal, January 2011

  • Wang, M.; Ghan, S.; Ovchinnikov, M.
  • Atmospheric Chemistry and Physics, Vol. 11, Issue 11
  • DOI: 10.5194/acp-11-5431-2011

A Cumulus Parameterization with State-Dependent Entrainment Rate. Part I: Description and Sensitivity to Temperature and Humidity Profiles
journal, July 2010

  • Chikira, Minoru; Sugiyama, Masahiro
  • Journal of the Atmospheric Sciences, Vol. 67, Issue 7
  • DOI: 10.1175/2010JAS3316.1

Twentieth century climate model response and climate sensitivity
journal, January 2007


The effect of physical and chemical aerosol properties on warm cloud droplet activation
journal, January 2006

  • McFiggans, G.; Artaxo, P.; Baltensperger, U.
  • Atmospheric Chemistry and Physics, Vol. 6, Issue 9
  • DOI: 10.5194/acp-6-2593-2006

Rethinking the Lower Bound on Aerosol Radiative Forcing
journal, June 2015


The ICON (ICOsahedral Non-hydrostatic) modelling framework of DWD and MPI-M: Description of the non-hydrostatic dynamical core
journal, June 2014

  • Zängl, Günther; Reinert, Daniel; Rípodas, Pilar
  • Quarterly Journal of the Royal Meteorological Society, Vol. 141, Issue 687
  • DOI: 10.1002/qj.2378

Horizontal velocity structure functions in the upper troposphere and lower stratosphere: 1. Observations
journal, May 2001

  • Cho, John Y. N.; Lindborg, Erik
  • Journal of Geophysical Research: Atmospheres, Vol. 106, Issue D10
  • DOI: 10.1029/2000JD900814

Evaluating adjusted forcing and model spread for historical and future scenarios in the CMIP5 generation of climate models: FORCING IN CMIP5 CLIMATE MODELS
journal, February 2013

  • Forster, Piers M.; Andrews, Timothy; Good, Peter
  • Journal of Geophysical Research: Atmospheres, Vol. 118, Issue 3
  • DOI: 10.1002/jgrd.50174

Characteristics of vertical velocity in marine stratocumulus: comparison of large eddy simulations with observations
journal, October 2008


On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models
journal, January 2016

  • Zhang, Shipeng; Wang, Minghuai; Ghan, Steven J.
  • Atmospheric Chemistry and Physics, Vol. 16, Issue 5
  • DOI: 10.5194/acp-16-2765-2016

Deep moist atmospheric convection in a subkilometer global simulation
journal, September 2013

  • Miyamoto, Yoshiaki; Kajikawa, Yoshiyuki; Yoshida, Ryuji
  • Geophysical Research Letters, Vol. 40, Issue 18
  • DOI: 10.1002/grl.50944

ICON–ART 1.0 – a new online-coupled model system from the global to regional scale
journal, January 2015

  • Rieger, D.; Bangert, M.; Bischoff-Gauss, I.
  • Geoscientific Model Development, Vol. 8, Issue 6
  • DOI: 10.5194/gmd-8-1659-2015

The Dynamical Core, Physical Parameterizations, and Basic Simulation Characteristics of the Atmospheric Component AM3 of the GFDL Global Coupled Model CM3
journal, July 2011

  • Donner, Leo J.; Wyman, Bruce L.; Hemler, Richard S.
  • Journal of Climate, Vol. 24, Issue 13
  • DOI: 10.1175/2011JCLI3955.1

Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part I: Cloud Radiative Kernels
journal, June 2012

  • Zelinka, Mark D.; Klein, Stephen A.; Hartmann, Dennis L.
  • Journal of Climate, Vol. 25, Issue 11
  • DOI: 10.1175/JCLI-D-11-00248.1

Spread in model climate sensitivity traced to atmospheric convective mixing
journal, January 2014

  • Sherwood, Steven C.; Bony, Sandrine; Dufresne, Jean-Louis
  • Nature, Vol. 505, Issue 7481
  • DOI: 10.1038/nature12829

Estimating the subgrid variance of saturation, and its parametrization for use in a gcm cloud scheme
journal, October 1999

  • Cusack, S.; Edwards, J. M.; Kershaw, R.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 125, Issue 560
  • DOI: 10.1002/qj.49712556013

Climate feedbacks determined using radiative kernels in a multi-thousand member ensemble of AOGCMs
journal, September 2009

  • Sanderson, Benjamin M.; Shell, Karen M.; Ingram, William
  • Climate Dynamics, Vol. 35, Issue 7-8
  • DOI: 10.1007/s00382-009-0661-1

A Cumulus Parameterization Including Mass Fluxes, Vertical Momentum Dynamics, and Mesoscale Effects
journal, March 1993


Resolution dependence of precipitation statistical fidelity in hindcast simulations: ILIAD SIMULATIONS OF PRECIPITATION
journal, June 2016

  • O'Brien, Travis A.; Collins, William D.; Kashinath, Karthik
  • Journal of Advances in Modeling Earth Systems, Vol. 8, Issue 2
  • DOI: 10.1002/2016MS000671

Entrainment and detrainment in cumulus convection: an overview
journal, June 2012

  • de Rooy, Wim C.; Bechtold, Peter; Fröhlich, Kristina
  • Quarterly Journal of the Royal Meteorological Society, Vol. 139, Issue 670
  • DOI: 10.1002/qj.1959

Evaluation of cloud-resolving and limited area model intercomparison simulations using TWP-ICE observations: 1. Deep convective updraft properties: Eval. of TWP-ICE CRMs and LAMs Pt. 1
journal, December 2014

  • Varble, Adam; Zipser, Edward J.; Fridlind, Ann M.
  • Journal of Geophysical Research: Atmospheres, Vol. 119, Issue 24
  • DOI: 10.1002/2013JD021371

On Constraining Estimates of Climate Sensitivity with Present-Day Observations through Model Weighting
journal, December 2011

  • Klocke, Daniel; Pincus, Robert; Quaas, Johannes
  • Journal of Climate, Vol. 24, Issue 23
  • DOI: 10.1175/2011JCLI4193.1

Modeling of the first indirect effect: Analysis of measurement requirements
journal, January 2003


Statistics of Storm Updraft Velocities from TWP-ICE Including Verification with Profiling Measurements
journal, August 2013

  • Collis, Scott; Protat, Alain; May, Peter T.
  • Journal of Applied Meteorology and Climatology, Vol. 52, Issue 8
  • DOI: 10.1175/JAMC-D-12-0230.1

Sensitivity of Radiative–Convective Equilibrium Simulations to Horizontal Resolution
journal, July 2006

  • Pauluis, Olivier; Garner, Stephen
  • Journal of the Atmospheric Sciences, Vol. 63, Issue 7
  • DOI: 10.1175/JAS3705.1

Climate Effects of Aerosol-Cloud Interactions
journal, January 2014


A multimodel intercomparison of resolution effects on precipitation: simulations and theory
journal, February 2016

  • Rauscher, Sara A.; O’Brien, Travis A.; Piani, Claudio
  • Climate Dynamics, Vol. 47, Issue 7-8
  • DOI: 10.1007/s00382-015-2959-5

Estimation of convective entrainment properties from a cloud-resolving model simulation during TWP-ICE
journal, December 2015


Analyzing the Climate Sensitivity of the HadSM3 Climate Model Using Ensembles from Different but Related Experiments
journal, July 2009

  • Rougier, Jonathan; Sexton, David M. H.; Murphy, James M.
  • Journal of Climate, Vol. 22, Issue 13
  • DOI: 10.1175/2008JCLI2533.1

A simplified PDF parameterization of subgrid-scale clouds and turbulence for cloud-resolving models: TURBULENCE SCHEME FOR CLOUD-RESOLVING MODELS
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