Processes limiting the emergence of detectable aerosol indirect effects on tropical warm clouds in global aerosol-climate model and satellite data

References

• Abel S. , Boutle I . An improved representation of the raindrop size distribution for single-moment microphysics schemes. Q. J. Roy. Meterol. Soc. 2012; 138: 2151–2162.
   Web of Science ®Google Scholar
• Andreae M. O . Correlation between cloud condensation nuclei concentration and aerosol optical thickness in remote and polluted regions. Atmos. Chem. Phys. 2009; 9: 543–556.
   Web of Science ®Google Scholar
• Bates T. , Lamb B. , Guenther A. , Dignon J. , Stoiber R . Sulfur emissions to the atmosphere from natural sources. J. Atmos. Chem. 1992; 14: 315–337.
   Web of Science ®Google Scholar
• Behrens H. L . Present traffic and emissions from maritime shipping. Deliverable D1.1.2.2 of the EU-IP QUANTIFY (confidential). 2006. Det Norske Veritas. Online at: http://www.pa.op.dlr.de/quantify/ .
   Google Scholar
• Bond T. , Streets D. , Yarber K. , Nelson S. , Woo J. , co-authors . A technology-based global inventory of black and organic carbon emissions from combustion. J. Geophys. Res. 2004; 109: D14 203.
   Web of Science ®Google Scholar
• Boucher O. , Randall D. , Artaxo P. , Bretherton C. , Feingold G. , co-authors . Stocker T. , Qin D. , Plattner G.-K. , Tignor M. , Allen S. , co-authors . Clouds and aerosols. Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. 2013; Cambridge, United Kingdom: Cambridge University Press. 571–658.
   Google Scholar
• Campmany E. , Grainger R. , Dean S. , Sayer A . Automatic detection of ship tracks in ATSR-2 satellite imagery. Atmos. Chem. Phys. 2009; 9: 1899–1905.
   Web of Science ®Google Scholar
• Capaldo K. , Corbett J. , Kasibhatla P. , Fischbeck P. , Pandis S . Effects of ship emissions on sulphur cycling and radiative climate forcing over the ocean. Nature. 1999; 400: 743–746.
   Web of Science ®Google Scholar
• Carslaw K. , Lee L. , Reddington C. , Pringle K. , Rap A. , co-authors . Large contribution of natural aerosols to uncertainty in indirect forcing. Nature. 2013; 503: 67–71.
   PubMed Web of Science ®Google Scholar
• Chen Y.-C. , Christensen M. W. , Xue L. , Sorooshian A. , Stephens G. L. , co-authors . Occurrence of lower cloud albedo in ship tracks. Atmos. Chem. Phys. 2012; 12: 8223–8235.
   Web of Science ®Google Scholar
• Christensen M. , Stephens G . Microphysical and macrophysical responses of marine stratocumulus polluted by underlying ships: evidence of cloud deepening. J. Geophys. Res.-Atmos. 2011; 116: D03 201.
   Web of Science ®Google Scholar
• Coakley J. , Bernstein R. , Durkee P . Effect of ship-stack effluents on cloud reflectivity. Science. 1987; 237: 1020–1022.
   PubMed Web of Science ®Google Scholar
• Coggon M. M. , Sorooshian A. , Wang Z. , Metcalf A. R. , Frossard A. A. , co-authors . Ship impacts on the marine atmosphere: insights into the contribution of shipping emissions to the properties of marine aerosol and clouds. Atmos. Chem. Phys. 2012; 12: 8439–8458.
   Web of Science ®Google Scholar
• Conover J . Anomalous cloud lines. J. Atmos. Sci. 1966; 23: 778–785.
   Web of Science ®Google Scholar
• Corbett J. , Koehler H . Updated emissions from ocean shipping. J. Geophys. Res. 2003; 108: 4650–64.
   Web of Science ®Google Scholar
• Corbett J. , Koehler H . Considering alternative input parameters in an activity-based ship fuel consumption and emissions model: reply to comment by Øyvind Endresen et al. on Updated emissions from ocean shipping. J. Geophys. Res. 2004; 109: 23303.
   Web of Science ®Google Scholar
• Dalsøren S. , Eide M. , Endresen Ø. , Mjelde A. , Gravir G. , co-authors . Update on emissions and environmental impacts from the international fleet of ships: the contribution from major ship types and ports. Atmos. Chem. Phys. 2009; 9: 2171–2194.
   Web of Science ®Google Scholar
• Dentener F. , Kinne S. , Bond T. , Boucher O. , Cofala J. , co-authors . Emissions of primary aerosol and precursor gases in the years 2000 and 1750 prescribed data-sets for AeroCom. Atmos. Chem. Phys. 2006; 6: 4321–4344.
   Web of Science ®Google Scholar
• Devasthale A. , Krüger O. , Grassl H . Impact of ship emissions on cloud properties over coastal areas. Geophys. Res. Lett. 2006; 33: 02811.
   Web of Science ®Google Scholar
• Dufresne J.-L. , Bony S . An assessment of the primary sources of spread of global warming estimates from coupled atmosphere-ocean models. J. Clim. 2008; 21: 5135–5144.
   Web of Science ®Google Scholar
• Durkee P. , Chartier R. , Brown A. , Trehubenko E. , Rogerson S. , co-authors A . Composite ship track characteristics. J. Atmos. Sci. 2000a; 57: 2542–2553.
   Web of Science ®Google Scholar
• Durkee P. , Noone K. , Bluth R . The Monterey area ship track experiment. J. Atmos. Sci. 2000b; 57: 2523–2541.
   Web of Science ®Google Scholar
• Endresen Ø. , Sørgård E. , Bakke J. , Isaksen I . Substantiation of a lower estimate for the bunker inventory: comment on updated emissions from ocean shipping by James J. Corbett and Horst W. Koehler. J. Geophys. Res. 2004; 109: 23 302.
   Web of Science ®Google Scholar
• Endresen Ø. , Sørgård E. , Sundet J. , Dalsøren S. , Isaksen I. , co-authors . Emission from international sea transportation and environmental impact. J. Geophys. Res. 2003; 108: 4560.
   Web of Science ®Google Scholar
• Eyring V. , Köhler H. , Van Aardenne J. , Lauer A . Emissions from international shipping: 1. The last 50 years. J. Geophys. Res. 2005; 110: 17305.
   Web of Science ®Google Scholar
• Feichter J. , Kjellström E. , Rodhe H. , Dentener F. , Lelieveldi J. , co-authors . Simulation of the tropospheric sulfur cycle in a global climate model. Atmos. Environ. 1996; 30: 1693–1707.
   Web of Science ®Google Scholar
• Franke K. , Eyring V. , Sander R. , Hendricks J. , Lauer A. , co-authors . Toward effective emissions of ships in global models. Meteorol. Z. 2008; 17: 117–129.
   Web of Science ®Google Scholar
• Franklin C. N . A warm rain microphysics parameterization that includes the effect of turbulence. J. Atmos. Sci. 2008; 65: 1795–1816.
   Web of Science ®Google Scholar
• Fuglestvedt J. , Berntsen T. , Eyring V. , Isaksen I. , Lee D. S. , co-authors . Shipping emissions: from cooling to warming of climate – and reducing impacts on health. Environ. Sci. Technol. 2009; 43: 9057–9062.
   PubMed Web of Science ®Google Scholar
• Gehlot S. , Quaas J . Convection-climate feedbacks in the ECHAM5 general circulation model: evaluation of cirrus cloud life cycles with ISCCP satellite data from a Lagrangian trajectory perspective. J. Clim. 2012; 25: 5241–5259.
   Web of Science ®Google Scholar
• Goren T. , Rosenfeld D . Satellite observations of ship emission induced transitions from broken to closed cell marine stratocumulus over large areas. J. Geophys. Res. 2012; 117: 17206.
   Web of Science ®Google Scholar
• Grandey B. S. , Stier P. , Wagner T. M . Investigating relationships between aerosol optical depth and cloud fraction using satellite, aerosol reanalysis and general circulation model data. Atmos. Chem. Phys. 2013; 13: 3177–3184.
   Web of Science ®Google Scholar
• Guelle W. , Schulz M. , Balkanski Y. , Dentener F . Influence of the source formulation on modelling the atmospheric global distribution of sea salt aerosol. J. Geophys. Res. 2001; 106: 27509–27524.
   Web of Science ®Google Scholar
• Horowitz L. , Walters S. , Mauzerall D. , Emmons L. , Rasch P. , co-authors . A global simulation of tropospheric ozone and related tracers: description and evaluation of MOZART, version 2. J. Geophys. Res. 2003; 108: 4784.
   Web of Science ®Google Scholar
• Isaksen I. , Granier C. , Myhre G. , Berntsen T. , Dalsren S. , co-authors . Atmospheric composition change: climate chemistry interactions. Atmos. Environ. 2009; 43: 5138–5192.
   Web of Science ®Google Scholar
• Kazil J. , Lovejoy E. R . A semi-analytical method for calculating rates of new sulfate aerosol formation from the gas phase. Atmos. Chem. Phys. 2007; 7: 3447–3459.
   Web of Science ®Google Scholar
• Kazil J. , Stier P. , Zhang K. , Quaas J. , Kinne S. , co-authors . Aerosol nucleation and its role for clouds and earth's radiative forcing in the aerosol-climate model ECHAM5-HAM. Atmos. Chem. Phys. 2010; 10: 10733–10752.
   Web of Science ®Google Scholar
• Kettle A. , Andreae M . Flux of dimethylsulfide from the oceans- a comparison of updated data sets and flux models. J. Geophys. Res. 2000; 105: 793–808.
   Web of Science ®Google Scholar
• Khairoutdinov M. , Kogan Y . A new cloud physics parameterization in a large-eddy simulation model of marine stratocumulus. Mon. Weather Rev. 2000; 128: 229–243.
   Web of Science ®Google Scholar
• Kinne S. , Schulz M. , Textor C. , Guibert S. , Balkanski Y. , co-authors . An AeroCom initial assessment – optical properties in aerosol component modules of global models. Atmos. Chem. Phys. 2006; 6: 1815–1834.
   Web of Science ®Google Scholar
• Kulmala M. , Lehtinen K. E. J. , Laaksonen A . Cluster activation theory as an explanation of the linear dependence between formation rate of 3nm particles and sulphuric acid concentration. Atmos. Chem. Phys. 2006; 6: 787–793.
   Web of Science ®Google Scholar
• Lauer A. , Eyring V. , Hendricks J. , Jöckel P. , Lohmann U . Global model simulations of the impact of ocean-going ships on aerosols, clouds, and the radiation budget. Atmos. Chem. Phys. 2007; 7: 5061–5079.
   Web of Science ®Google Scholar
• Lin H. , Leaitch W . Development of an in-cloud aerosol activation parameterization for climate modelling. Proceedings of the WMO Workshop on Measurement of Cloud Properties for Forecasts of Weather, Air Quality and Climate. 1997; World Meteorological Organization, Geneva 328–335.
   Google Scholar
• Lin S. , Rood R . Multidimensional flux-form semi-Lagrangian transport schemes. Mon. Weather Rev. 1996; 124: 2046–2070.
   Web of Science ®Google Scholar
• Lohmann U. , Feichter J. , Chuang C. , Penner J . Prediction of the number of cloud droplets in the ECHAM GCM. J. Geophys. Res. 1999; 104: 9169–9198.
   Web of Science ®Google Scholar
• Lohmann U. , Stier P. , Hoose C. , Ferrachat S. , Kloster S. , co-authors . Cloud microphysics and aerosol indirect effects in the global climate model ECHAM5-HAM. Atmos. Chem. Phys. 2007; 7: 3425–3446.
   Web of Science ®Google Scholar
• Lund M. T. , Eyring V. , Fuglestvedt J. , Hendricks J. , Lauer A. , co-authors . Global-mean temperature change from shipping toward 2050: improved representation of the indirect aerosol effect in simple climate models. Environ. Sci. Technol. 2012; 46: 8868–8877.
   PubMed Web of Science ®Google Scholar
• Matthias V. , Bewersdorff I. , Aulinger A. , Quante M . The contribution of ship emissions to air pollution in the North Sea regions. Environ. Pollut. 2010; 158: 2241–2250.
   PubMed Web of Science ®Google Scholar
• Myhre G. , Shindell D. , Bréon F.-M. , Collins W. , Fuglestvedt J. , co-authors . Stocker T. , Qin D. , Plattner G.-K. , Tignor M. , Allen S. , co-authors . Anthropogenic and natural radiative forcing. Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. 2013; Cambridge, United Kingdom: Cambridge University Press. 659–740.
   Google Scholar
• Nakajima T. , King M . Determination of the optical-thickness and effective particle radius of clouds from reflected solar-radiation measurements .1 Theory. J. Atmos. Sci. 1990; 47: 1878–1893.
   Web of Science ®Google Scholar
• Nam C. , Bony S. , Dufresne J.-L. , Chepfer H . The ‘too few, too bright’ tropical low-cloud problem in CMIP5 models. Geophys. Res. Lett. 2012; 39: 21 801.
   Web of Science ®Google Scholar
• Nam C. C. W . Using CALIPSO and CloudSat satellite retrievals to evaluate low-level cloud parameterizations in ECHAM5 for cloud-climate feedbacks implications. Berichte zur Erdsystemforschung.
   Google Scholar
• Nam C. C. W. , Quaas J . Evaluation of clouds and precipitation in the ECHAM5 general circulation model using CALIPSO and CloudSat satellite data. J. Clim.
   Web of Science ®Google Scholar
• Olivier J. G. J. , Van Aardenne J. A. , Dentener F. J. , Pagliari V. , Ganzeveld L. N. , co-authors . Recent trends in global greenhouse gas emissions: regional trends 1970–2000 and spatial distribution of key sources in 2000. Environ. Sci. 2005; 2: 81–99.
   Google Scholar
• Partanen A.-I. , Kokkola H. , Romakkaniemi S. , Kerminen V.-M. , Lehtinen K. E. J. , co-authors . Direct and indirect effects of sea spray geoengineering and the role of injected particle size. J. Geophys. Res. 2012; 117
   Web of Science ®Google Scholar
• Partanen A. I. , Laakso A. , Schmidt A. , Kokkola H. , Kuokkanen T. , co-authors . Climate and air quality trade-offs in altering ship fuel sulfur content. Atmos. Chem. Phys. 2013; 13: 12059–12071.
   Web of Science ®Google Scholar
• Peters K. , Quaas J. , Graßl H . A search for large-scale effects of ship emissions on clouds and radiation in satellite data. J. Geophys. Res.-Atmos. 2011; 116: 24205.
   Web of Science ®Google Scholar
• Peters K. , Stier P. , Quaas J. , Graßl H . Aerosol indirect effects from shipping emissions: sensitivity studies with the global aerosol-climate model ECHAM-HAM. Atmos. Chem. Phys. 2012; 12: 5985–6007.
   Web of Science ®Google Scholar
• Peters K. , Stier P. , Quaas J. , Graßl H . Corrigendum to “Aerosol indirect effects from shipping emissions: sensitivity studies with the global aerosol-climate model ECHAM-HAM” published in. Atmos. Chem. Phys. 2013; 12: 5985–6007. 2012. Atmos. Chem. Phys. 13, 6429–6430.
   Web of Science ®Google Scholar
• Pierce J. R. , Adams P. J . Uncertainty in global CCN concentrations from uncertain aerosol nucleation and primary emission rates. Atmos. Chem. Phys. 2009; 9: 1339–1356.
   Web of Science ®Google Scholar
• Platnick S. , King M. , Ackerman S. , Menzel W. , Baum B. , co-authors . The MODIS cloud products: algorithms and examples from Terra. IEEE Trans. Geosci. Remote Sens. 2003; 41: 459–473.
   Web of Science ®Google Scholar
• Platnick S. , Twomey S . Determining the susceptibility of cloud albedo to changes in droplet concentration with the Advanced Very High Resolution Radiometer. J. Appl. Meteorol. 1994; 33: 334–347.
   Google Scholar
• Quaas J. , Ming Y. , Menon S. , Takemura T. , Wang M. , co-authors . Aerosol indirect effects – general circulation model intercomparison and evaluation with satellite data. Atmos. Chem. Phys. 2009; 9: 8697–8717.
   Web of Science ®Google Scholar
• Quaas J. , Stevens B. , Stier P. , Lohmann U . Interpreting the cloud cover – aerosol optical depth relationship found in satellite data using a general circulation model. Atmos. Chem. Phys. 2010; 10: 6129–6135.
   Web of Science ®Google Scholar
• Randall D. , Wood R. , Bony S. , Colman R. , Fichefet T. , co-authors . Solomon S. , Qin D. , Manning M. , Chen Z. , Marquis M. , co-authors . Climate models and their evaluation. Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. 2007; Cambridge, United Kingdom: Cambridge University Press. 589–662.
   Google Scholar
• Remer L. , Kaufman Y. , Tanre D. , Mattoo S. , Chu D. , co-authors . The MODIS aerosol algorithm, products, and validation. J. Atmos. Sci. 2005; 62: 947–973.
   Web of Science ®Google Scholar
• Righi M. , Klinger C. , Eyring V. , Hendricks J. , Lauer A. , co-authors . Climate impact of biofuels in shipping: global model studies of the aerosol indirect effect. Environ. Sci. Technol. 2011; 45: 3519–3525.
   Web of Science ®Google Scholar
• Roelofs G. J. , Stier P. , Feichter J. , Vignati E. , Wilson J . Aerosol activation and cloud processing in the global aerosol-climate model ECHAM5-HAM. Atmos. Chem. Phys. 2006; 6: 2389–2399.
   Web of Science ®Google Scholar
• Schreier M. , Mannstein H. , Eyring V. , Bovensmann H . Global ship track distribution and radiative forcing from 1 year of AATSR data. Geophys. Res. Lett. 2007; 34: 17814.
   Web of Science ®Google Scholar
• Simmons A. , Uppala S. , Dee D. , Kobayashi S . ERA-Interim: new ECMWF reanalysis products from 1989 onwards. ECMWF Newsletter. 2007; 110: 25–35.
   Google Scholar
• Stevens B. , Feingold G . Untangling aerosol effects on clouds and precipitation in a buffered system. Nature. 2009; 461: 607–613.
   Web of Science ®Google Scholar
• Stevens R. G. , Pierce J. R . A parameterization of sub-grid particle formation in sulfur-rich plumes for global- and regional-scale models. Atmos. Chem. Phys. 2013; 13: 12117–12133.
   Web of Science ®Google Scholar
• Stevens R. G. , Pierce J. R. , Brock C. A. , Reed M. K. , Crawford J. H. , co-authors . Nucleation and growth of sulfate aerosol in coal-fired power plant plumes: sensitivity to background aerosol and meteorology. Atmos. Chem. Phys. 2012; 12: 189–206.
   Web of Science ®Google Scholar
• Stier P. , Feichter J. , Kinne S. , Kloster S. , Vignati E. , co-authors . The aerosol-climate model ECHAM5-HAM. Atmos. Chem. Phys. 2005; 5: 1125–1156.
   Web of Science ®Google Scholar
• Sundqvist H. , Berge E. , Kristjansson J . Condensation and cloud parameterization studies with a mesoscale numerical weather prediction model. Mon. Weather Rev. 1989; 117: 1641–1657.
   Web of Science ®Google Scholar
• Taylor K. , Williamson D. , Zwiers F . The sea surface temperature and sea-ice concentration boundary conditions for AMIP II simulations. PCMDI Rep. 2000; 60: 28.
   Google Scholar
• Tegen I. , Harrison S. , Kohfeld K. , Prentice I. , Coe M. , co-authors . Impact of vegetation and preferential source areas on global dust aerosol: results from a model study. J. Geophys. Res. 2002; 107: 4576.
   Web of Science ®Google Scholar
• Tiedtke M . A comprehensive mass flux scheme for cumulus parameterization in large- scale models. Mon. Weather Rev. 1989; 117: 1779–1800.
   Web of Science ®Google Scholar
• Twomey S. , Howell H. , Wojciechowski T . Comments on “anomalous cloud lines.”. J. Atmos. Sci. 1968; 25: 333–334.
   Web of Science ®Google Scholar
• Vignati E. , Wilson J. , Stier P . M7: an efficient size-resolved aerosol microphysics module for large-scale aerosol transport models. J. Geophys. Res. 2004; 109: 22202.
   Web of Science ®Google Scholar
• Wang H. , Feingold G . Modeling mesoscale cellular structures and drizzle in marine stratocumulus. Part II: the microphysics and dynamics of the boundary region between open and closed cells. J. Atmos. Sci. 2009; 66: 3257–3275.
   Web of Science ®Google Scholar
• Wang M. , Ghan S. , Liu X. , L'Ecuyer T. S. , Zhang K. , co-authors . Constraining cloud lifetime effects of aerosols using A-Train satellite observations. Geophys. Res. Lett.
   Google Scholar
• Wang M. , Ghan S. , Liu X. , L'Ecuyer T. S. , Zhang K. , co-authors . 2012. Constraining cloud lifetime effects of aerosols using A-Train satellite observations. Geophys. Res. Lett.
   Google Scholar
• Weber T. , Quaas J . Incorporating the subgrid-scale variability of clouds in the autoconversion parameterization using a PDF-scheme. J. Adv. Model. Earth Syst. 2012; 4: 1103.
   Web of Science ®Google Scholar
• Zhang K. , O'Donnell D. , Kazil J. , Stier P. , Kinne S. , co-authors . The global aerosol-climate model ECHAM-HAM, version 2: sensitivity to improvements in process representations. Atmos. Chem. Phys. 2012; 12: 8911–8949.
   Web of Science ®Google Scholar