DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models

Abstract

Abstract. Aerosol–cloud interactions continue to constitute a major source of uncertainty for the estimate of climate radiative forcing. The variation of aerosol indirect effects (AIE) in climate models is investigated across different dynamical regimes, determined by monthly mean 500 hPa vertical pressure velocity (ω500), lower-tropospheric stability (LTS) and large-scale surface precipitation rate derived from several global climate models (GCMs), with a focus on liquid water path (LWP) response to cloud condensation nuclei (CCN) concentrations. The LWP sensitivity to aerosol perturbation within dynamic regimes is found to exhibit a large spread among these GCMs. It is in regimes of strong large-scale ascent (ω500  <  −25 hPa day−1) and low clouds (stratocumulus and trade wind cumulus) where the models differ most. Shortwave aerosol indirect forcing is also found to differ significantly among different regimes. Shortwave aerosol indirect forcing in ascending regimes is close to that in subsidence regimes, which indicates that regimes with strong large-scale ascent are as important as stratocumulus regimes in studying AIE. It is further shown that shortwave aerosol indirect forcing over regions with high monthly large-scale surface precipitation rate (> 0.1 mm day−1) contributes the most to the total aerosol indirect forcing (from 64 to nearly 100 %). Results showmore » that the uncertainty in AIE is even larger within specific dynamical regimes compared to the uncertainty in its global mean values, pointing to the need to reduce the uncertainty in AIE in different dynamical regimes.« less

Authors:
ORCiD logo; ORCiD logo; ; ORCiD logo; ; ORCiD logo; ORCiD logo; ORCiD logo; ; ORCiD logo; ORCiD logo; ; ; ORCiD logo; ; ORCiD logo; ORCiD logo;
Publication Date:
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1240299
Grant/Contract Number:  
AC06-76RLO 1830
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: 5; Journal ID: ISSN 1680-7324
Publisher:
Copernicus Publications, EGU
Country of Publication:
Germany
Language:
English

Citation Formats

Zhang, Shipeng, Wang, Minghuai, Ghan, Steven J., Ding, Aijun, Wang, Hailong, Zhang, Kai, Neubauer, David, Lohmann, Ulrike, Ferrachat, Sylvaine, Takeamura, Toshihiko, Gettelman, Andrew, Morrison, Hugh, Lee, Yunha, Shindell, Drew T., Partridge, Daniel G., Stier, Philip, Kipling, Zak, and Fu, Congbin. On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models. Germany: N. p., 2016. Web. doi:10.5194/acp-16-2765-2016.
Zhang, Shipeng, Wang, Minghuai, Ghan, Steven J., Ding, Aijun, Wang, Hailong, Zhang, Kai, Neubauer, David, Lohmann, Ulrike, Ferrachat, Sylvaine, Takeamura, Toshihiko, Gettelman, Andrew, Morrison, Hugh, Lee, Yunha, Shindell, Drew T., Partridge, Daniel G., Stier, Philip, Kipling, Zak, & Fu, Congbin. On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models. Germany. https://doi.org/10.5194/acp-16-2765-2016
Zhang, Shipeng, Wang, Minghuai, Ghan, Steven J., Ding, Aijun, Wang, Hailong, Zhang, Kai, Neubauer, David, Lohmann, Ulrike, Ferrachat, Sylvaine, Takeamura, Toshihiko, Gettelman, Andrew, Morrison, Hugh, Lee, Yunha, Shindell, Drew T., Partridge, Daniel G., Stier, Philip, Kipling, Zak, and Fu, Congbin. Fri . "On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models". Germany. https://doi.org/10.5194/acp-16-2765-2016.
@article{osti_1240299,
title = {On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models},
author = {Zhang, Shipeng and Wang, Minghuai and Ghan, Steven J. and Ding, Aijun and Wang, Hailong and Zhang, Kai and Neubauer, David and Lohmann, Ulrike and Ferrachat, Sylvaine and Takeamura, Toshihiko and Gettelman, Andrew and Morrison, Hugh and Lee, Yunha and Shindell, Drew T. and Partridge, Daniel G. and Stier, Philip and Kipling, Zak and Fu, Congbin},
abstractNote = {Abstract. Aerosol–cloud interactions continue to constitute a major source of uncertainty for the estimate of climate radiative forcing. The variation of aerosol indirect effects (AIE) in climate models is investigated across different dynamical regimes, determined by monthly mean 500 hPa vertical pressure velocity (ω500), lower-tropospheric stability (LTS) and large-scale surface precipitation rate derived from several global climate models (GCMs), with a focus on liquid water path (LWP) response to cloud condensation nuclei (CCN) concentrations. The LWP sensitivity to aerosol perturbation within dynamic regimes is found to exhibit a large spread among these GCMs. It is in regimes of strong large-scale ascent (ω500  <  −25 hPa day−1) and low clouds (stratocumulus and trade wind cumulus) where the models differ most. Shortwave aerosol indirect forcing is also found to differ significantly among different regimes. Shortwave aerosol indirect forcing in ascending regimes is close to that in subsidence regimes, which indicates that regimes with strong large-scale ascent are as important as stratocumulus regimes in studying AIE. It is further shown that shortwave aerosol indirect forcing over regions with high monthly large-scale surface precipitation rate (> 0.1 mm day−1) contributes the most to the total aerosol indirect forcing (from 64 to nearly 100 %). Results show that the uncertainty in AIE is even larger within specific dynamical regimes compared to the uncertainty in its global mean values, pointing to the need to reduce the uncertainty in AIE in different dynamical regimes.},
doi = {10.5194/acp-16-2765-2016},
journal = {Atmospheric Chemistry and Physics (Online)},
number = 5,
volume = 16,
place = {Germany},
year = {Fri Mar 04 00:00:00 EST 2016},
month = {Fri Mar 04 00:00:00 EST 2016}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.5194/acp-16-2765-2016

Citation Metrics:
Cited by: 55 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models
journal, January 2005


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

A simulation of the global distribution and radiative forcing of soil dust aerosols at the Last Glacial Maximum
journal, January 2009

  • Takemura, T.; Egashira, M.; Matsuzawa, K.
  • Atmospheric Chemistry and Physics, Vol. 9, Issue 9
  • DOI: 10.5194/acp-9-3061-2009

A Fast and Efficient Version of the TwO-Moment Aerosol Sectional (TOMAS) Global Aerosol Microphysics Model
journal, June 2012


Cloud microphysics and aerosol indirect effects in the global climate model ECHAM5-HAM
journal, January 2007

  • Lohmann, U.; Stier, P.; Hoose, C.
  • Atmospheric Chemistry and Physics, Vol. 7, Issue 13
  • DOI: 10.5194/acp-7-3425-2007

Revealing differences in GCM representations of low clouds
journal, November 2009


Flood or Drought: How Do Aerosols Affect Precipitation?
journal, September 2008


An improved representation of the raindrop size distribution for single-moment microphysics schemes
journal, May 2012

  • Abel, S. J.; Boutle, I. A.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 138, Issue 669
  • DOI: 10.1002/qj.1949

Toward a minimal representation of aerosols in climate models: description and evaluation in the Community Atmosphere Model CAM5
journal, January 2012

  • Liu, X.; Easter, R. C.; Ghan, S. J.
  • Geoscientific Model Development, Vol. 5, Issue 3
  • DOI: 10.5194/gmd-5-709-2012

Aerosol effects on cirrus through ice nucleation in the Community Atmosphere Model CAM5 with a statistical cirrus scheme
journal, August 2014

  • Wang, Minghuai; Liu, Xiaohong; Zhang, Kai
  • Journal of Advances in Modeling Earth Systems, Vol. 6, Issue 3
  • DOI: 10.1002/2014MS000339

Model intercomparison of indirect aerosol effects
journal, January 2006

  • Penner, J. E.; Quaas, J.; Storelvmo, T.
  • Atmospheric Chemistry and Physics, Vol. 6, Issue 11
  • DOI: 10.5194/acp-6-3391-2006

Regime-based analysis of aerosol-cloud interactions: REGIME-BASED AEROSOL-CLOUD INTERACTIONS
journal, November 2012

  • Gryspeerdt, Edward; Stier, Philip
  • Geophysical Research Letters, Vol. 39, Issue 21
  • DOI: 10.1029/2012GL053221

Challenges in constraining anthropogenic aerosol effects on cloud radiative forcing using present-day spatiotemporal variability
journal, February 2016

  • Ghan, Steven; Wang, Minghuai; Zhang, Shipeng
  • Proceedings of the National Academy of Sciences, Vol. 113, Issue 21
  • DOI: 10.1073/pnas.1514036113

Cloud droplet sedimentation, entrainment efficiency, and subtropical stratocumulus albedo
journal, January 2007

  • Bretherton, C. S.; Blossey, P. N.; Uchida, J.
  • Geophysical Research Letters, Vol. 34, Issue 3
  • DOI: 10.1029/2006GL027648

Study of the Aerosol Indirect Effect by Large-Eddy Simulation of Marine Stratocumulus
journal, November 2005

  • Lu, Miao-Ling; Seinfeld, John H.
  • Journal of the Atmospheric Sciences, Vol. 62, Issue 11
  • DOI: 10.1175/JAS3584.1

The impact of humidity above stratiform clouds on indirect aerosol climate forcing
journal, December 2004

  • Ackerman, Andrew S.; Kirkpatrick, Michael P.; Stevens, David E.
  • Nature, Vol. 432, Issue 7020
  • DOI: 10.1038/nature03174

Microphysics parameterization for convective clouds in a global climate model: Description and single-column model tests
journal, January 2011

  • Song, Xiaoliang; Zhang, Guang J.
  • Journal of Geophysical Research, Vol. 116, Issue D2
  • DOI: 10.1029/2010JD014833

On the relationship between responses in cloud water and precipitation to changes in aerosol
journal, January 2014


Evaluation of the new UKCA climate-composition model – Part 2: The Troposphere
journal, January 2014

  • O&apos;Connor, F. M.; Johnson, C. E.; Morgenstern, O.
  • Geoscientific Model Development, Vol. 7, Issue 1
  • DOI: 10.5194/gmd-7-41-2014

The global aerosol-climate model ECHAM-HAM, version 2: sensitivity to improvements in process representations
journal, January 2012

  • Zhang, K.; O&apos;Donnell, D.; Kazil, J.
  • Atmospheric Chemistry and Physics, Vol. 12, Issue 19
  • DOI: 10.5194/acp-12-8911-2012

Aerosols, Cloud Microphysics, and Fractional Cloudiness
journal, September 1989


Global simulations of ice nucleation and ice supersaturation with an improved cloud scheme in the Community Atmosphere Model
journal, January 2010

  • Gettelman, A.; Liu, X.; Ghan, S. J.
  • Journal of Geophysical Research, Vol. 115, Issue D18
  • DOI: 10.1029/2009JD013797

Advanced Two-Moment Bulk Microphysics for Global Models. Part II: Global Model Solutions and Aerosol–Cloud Interactions
journal, February 2015


Can aerosol decrease cloud lifetime?
journal, January 2009

  • Small, Jennifer D.; Chuang, Patrick Y.; Feingold, Graham
  • Geophysical Research Letters, Vol. 36, Issue 16
  • DOI: 10.1029/2009GL038888

Modeling Mesoscale Cellular Structures and Drizzle in Marine Stratocumulus. Part I: Impact of Drizzle on the Formation and Evolution of Open Cells
journal, November 2009

  • Wang, Hailong; Feingold, Graham
  • Journal of the Atmospheric Sciences, Vol. 66, Issue 11
  • DOI: 10.1175/2009JAS3022.1

Aerosol effects on stratocumulus water paths in a PDF-based parameterization: FULL LWP RESPONSES IN MVD PDFs
journal, September 2011

  • Guo, H.; Golaz, J. -C.; Donner, L. J.
  • Geophysical Research Letters, Vol. 38, Issue 17
  • DOI: 10.1029/2011GL048611

A Prognostic Cloud Water Parameterization for Global Climate Models
journal, February 1996


Sensitivity of remote aerosol distributions to representation of cloud–aerosol interactions in a global climate model
journal, January 2013

  • Wang, H.; Easter, R. C.; Rasch, P. J.
  • Geoscientific Model Development, Vol. 6, Issue 3
  • DOI: 10.5194/gmd-6-765-2013

Sensitivity studies of dust ice nuclei effect on cirrus clouds with the Community Atmosphere Model CAM5
journal, January 2012


Sensitivity studies of different aerosol indirect effects in mixed-phase clouds
journal, January 2009


Sensitivity of the total anthropogenic aerosol effect to the treatment of rain in a global climate model: RAIN TREATMENT AND AEROSOL EFFECTS
journal, January 2009

  • Posselt, Rebekka; Lohmann, Ulrike
  • Geophysical Research Letters, Vol. 36, Issue 2
  • DOI: 10.1029/2008GL035796

Parametric behaviors of CLUBB in simulations of low clouds in the Community Atmosphere Model (CAM): PARAMETRIC BEHAVIORS OF CLUBB IN CAM
journal, July 2015

  • Guo, Zhun; Wang, Minghuai; Qian, Yun
  • Journal of Advances in Modeling Earth Systems, Vol. 7, Issue 3
  • DOI: 10.1002/2014MS000405

Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model
journal, January 2013

  • Bellouin, N.; Mann, G. W.; Woodhouse, M. T.
  • Atmospheric Chemistry and Physics, Vol. 13, Issue 6
  • DOI: 10.5194/acp-13-3027-2013

Historical (1850–2000) gridded anthropogenic and biomass burning emissions of reactive gases and aerosols: methodology and application
journal, January 2010

  • Lamarque, J. -F.; Bond, T. C.; Eyring, V.
  • Atmospheric Chemistry and Physics, Vol. 10, Issue 15
  • DOI: 10.5194/acp-10-7017-2010

The Impact of Convection on ENSO: From a Delayed Oscillator to a Series of Events
journal, November 2008

  • Neale, Richard B.; Richter, Jadwiga H.; Jochum, Markus
  • Journal of Climate, Vol. 21, Issue 22
  • DOI: 10.1175/2008JCLI2244.1

The aerosol-climate model ECHAM5-HAM
journal, January 2005

  • Stier, P.; Feichter, J.; Kinne, S.
  • Atmospheric Chemistry and Physics, Vol. 5, Issue 4
  • DOI: 10.5194/acp-5-1125-2005

A New Moist Turbulence Parameterization in the Community Atmosphere Model
journal, June 2009


Atmospheric component of the MPI-M Earth System Model: ECHAM6: ECHAM6
journal, April 2013

  • Stevens, Bjorn; Giorgetta, Marco; Esch, Monika
  • Journal of Advances in Modeling Earth Systems, Vol. 5, Issue 2
  • DOI: 10.1002/jame.20015

Constraining cloud lifetime effects of aerosols using A-Train satellite observations: CONSTRAINING CLOUD LIFETIME EFFECTS
journal, August 2012

  • Wang, Minghuai; Ghan, Steven; Liu, Xiaohong
  • Geophysical Research Letters, Vol. 39, Issue 15
  • DOI: 10.1029/2012GL052204

The importance of vertical velocity variability for estimates of the indirect aerosol effects
journal, January 2014

  • West, R. E. L.; Stier, P.; Jones, A.
  • Atmospheric Chemistry and Physics, Vol. 14, Issue 12
  • DOI: 10.5194/acp-14-6369-2014

Cloud fraction mediates the aerosol optical depth-cloud top height relationship
journal, May 2014

  • Gryspeerdt, E.; Stier, P.; Grandey, B. S.
  • Geophysical Research Letters, Vol. 41, Issue 10
  • DOI: 10.1002/2014GL059524

Impact of the representation of marine stratocumulus clouds on the anthropogenic aerosol effect
journal, January 2014


Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model
journal, January 2010

  • Mann, G. W.; Carslaw, K. S.; Spracklen, D. V.
  • Geoscientific Model Development, Vol. 3, Issue 2
  • DOI: 10.5194/gmd-3-519-2010

Present-Day Atmospheric Simulations Using GISS ModelE: Comparison to In Situ, Satellite, and Reanalysis Data
journal, January 2006

  • Schmidt, Gavin A.; Ruedy, Reto; Hansen, James E.
  • Journal of Climate, Vol. 19, Issue 2
  • DOI: 10.1175/JCLI3612.1

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

Microphysical process rates and global aerosol–cloud interactions
journal, January 2013

  • Gettelman, A.; Morrison, H.; Terai, C. R.
  • Atmospheric Chemistry and Physics, Vol. 13, Issue 19
  • DOI: 10.5194/acp-13-9855-2013

Higher-Order Turbulence Closure and Its Impact on Climate Simulations in the Community Atmosphere Model
journal, December 2013

  • Bogenschutz, Peter A.; Gettelman, Andrew; Morrison, Hugh
  • Journal of Climate, Vol. 26, Issue 23
  • DOI: 10.1175/JCLI-D-13-00075.1

CLUBB as a unified cloud parameterization: Opportunities and challenges
journal, June 2015

  • Guo, H.; Golaz, J. ‐C.; Donner, L. J.
  • Geophysical Research Letters, Vol. 42, Issue 11
  • DOI: 10.1002/2015GL063672

The effect of smoke, dust, and pollution aerosol on shallow cloud development over the Atlantic Ocean
journal, August 2005

  • Kaufman, Y. J.; Koren, I.; Remer, L. A.
  • Proceedings of the National Academy of Sciences, Vol. 102, Issue 32
  • DOI: 10.1073/pnas.0505191102

Configuration and assessment of the GISS ModelE2 contributions to the CMIP5 archive: GISS MODEL-E2 CMIP5 SIMULATIONS
journal, March 2014

  • Schmidt, Gavin A.; Kelley, Max; Nazarenko, Larissa
  • Journal of Advances in Modeling Earth Systems, Vol. 6, Issue 1
  • DOI: 10.1002/2013MS000265

Aerosol indirect effects – general circulation model intercomparison and evaluation with satellite data
journal, January 2009


Untangling aerosol effects on clouds and precipitation in a buffered system
journal, October 2009


Evaluation of the global aerosol microphysical ModelE2-TOMAS model against satellite and ground-based observations
journal, January 2015

  • Lee, Y. H.; Adams, P. J.; Shindell, D. T.
  • Geoscientific Model Development, Vol. 8, Issue 3
  • DOI: 10.5194/gmd-8-631-2015

Links between satellite-retrieved aerosol and precipitation
journal, January 2014

  • Gryspeerdt, E.; Stier, P.; Partridge, D. G.
  • Atmospheric Chemistry and Physics, Vol. 14, Issue 18
  • DOI: 10.5194/acp-14-9677-2014

Satellite methods underestimate indirect climate forcing by aerosols
journal, August 2011

  • Penner, J. E.; Xu, L.; Wang, M.
  • Proceedings of the National Academy of Sciences, Vol. 108, Issue 33
  • DOI: 10.1073/pnas.1018526108

PC2: A prognostic cloud fraction and condensation scheme. I: Scheme description
journal, October 2008

  • Wilson, Damian R.; Bushell, Andrew C.; Kerr-Munslow, Amanda M.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 134, Issue 637
  • DOI: 10.1002/qj.333

Advanced Two-Moment Bulk Microphysics for Global Models. Part I: Off-Line Tests and Comparison with Other Schemes
journal, February 2015


Simulation of climate response to aerosol direct and indirect effects with aerosol transport-radiation model
journal, January 2005


On dynamic and thermodynamic components of cloud changes
journal, March 2004


A parameterization of aerosol activation: 2. Multiple aerosol types
journal, March 2000

  • Abdul-Razzak, Hayder; Ghan, Steven J.
  • Journal of Geophysical Research: Atmospheres, Vol. 105, Issue D5
  • DOI: 10.1029/1999JD901161

Parameterization of cloud droplet formation in global climate models
journal, January 2003


The Met Office Unified Model Global Atmosphere 4.0 and JULES Global Land 4.0 configurations
journal, January 2014

  • Walters, D. N.; Williams, K. D.; Boutle, I. A.
  • Geoscientific Model Development, Vol. 7, Issue 1
  • DOI: 10.5194/gmd-7-361-2014

Improved Climate Simulation by MIROC5: Mean States, Variability, and Climate Sensitivity
journal, December 2010

  • Watanabe, Masahiro; Suzuki, Tatsuo; O’ishi, Ryouta
  • Journal of Climate, Vol. 23, Issue 23
  • DOI: 10.1175/2010JCLI3679.1

Technical Note: Estimating aerosol effects on cloud radiative forcing
journal, January 2013


Smoking Rain Clouds over the Amazon
journal, February 2004


Satellite-based assessment of marine low cloud variability associated with aerosol, atmospheric stability, and the diurnal cycle
journal, January 2006

  • Matsui, Toshihisa; Masunaga, Hirohiko; Kreidenweis, Sonia M.
  • Journal of Geophysical Research, Vol. 111, Issue D17
  • DOI: 10.1029/2005JD006097

Satellite observations of cloud regime development: the role of aerosol processes
journal, January 2014

  • Gryspeerdt, E.; Stier, P.; Partridge, D. G.
  • Atmospheric Chemistry and Physics, Vol. 14, Issue 3
  • DOI: 10.5194/acp-14-1141-2014

Technical Note: On the use of nudging for aerosol–climate model intercomparison studies
journal, January 2014


Black carbon aerosols and the third polar ice cap
journal, January 2010


Aerosol Influence on Mixed-Phase Clouds in CAM-Oslo
journal, October 2008

  • Storelvmo, Trude; Kristjánsson, Jón Egill; Lohmann, Ulrike
  • Journal of the Atmospheric Sciences, Vol. 65, Issue 10
  • DOI: 10.1175/2008JAS2430.1

Constraining the influence of natural variability to improve estimates of global aerosol indirect effects in a nudged version of the Community Atmosphere Model 5: ESTIMATES OF AEROSOL INDIRECT EFFECTS
journal, December 2012

  • Kooperman, Gabriel J.; Pritchard, Michael S.; Ghan, Steven J.
  • Journal of Geophysical Research: Atmospheres, Vol. 117, Issue D23
  • DOI: 10.1029/2012JD018588

Satellite-based estimate of global aerosol–cloud radiative forcing by marine warm clouds
journal, August 2014

  • Chen, Yi-Chun; Christensen, Matthew W.; Stephens, Graeme L.
  • Nature Geoscience, Vol. 7, Issue 9
  • DOI: 10.1038/ngeo2214

Design and implementation of the infrastructure of HadGEM3: the next-generation Met Office climate modelling system
journal, January 2011

  • Hewitt, H. T.; Copsey, D.; Culverwell, I. D.
  • Geoscientific Model Development, Vol. 4, Issue 2
  • DOI: 10.5194/gmd-4-223-2011