4.8 Article

The hemispheric contrast in cloud microphysical properties constrains aerosol forcing

Publisher

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1922502117

Keywords

cloud droplet number concentration; radiative forcing; aerosol-cloud; interactions; Southern Ocean; remote sensing

Funding

  1. NSF
  2. National Aeronautics and Space Administration (NASA) [80NSSC19K1274]
  3. NSF as part of the Southern Ocean Clouds, Radiation, Aerosol Transport Experimental Study (SOCRATES) project [AGS-1660609]
  4. Process-Based Climate Simulation: Advances in High-Resolution Modelling and European Climate Risk Assessment (PRIMAVERA) project - European Union's Horizon 2020 program [641727]
  5. Vetenskapsradet Grant [2018-04274]
  6. Natural Environment Research Council (NERC) under Aerosol Model Robustness and Sensitivity Study for Improved Climate and Air Quality Prediction (AEROS)
  7. Natural Environment Research Council (NERC) under Aerosol-Cloud Interactions -A Directed Programme to Reduce Uncertainty in Forcing (ACID-PRUF)
  8. Natural Environment Research Council (NERC) under GASSP
  9. Natural Environment Research Council (NERC) under Aerosol-Cloud Uncertainty Reduction (A-CURE) projects [NE/G006172/1, NE/I020059/1, NE/J024252/1, NE/P013406/1]
  10. European Union Aerosols, Clouds, and Trace Gases Research InfraStructure (ACTRIS-2) project [262254]
  11. UK-China Research & Innovation Partnership Fund through the Met Office Climate Science for Service Partnership China as part of the Newton Fund
  12. NERC under A-CURE and Cloud-AerosolRadiation Interactions and Forcing for Year 2017 (CLARIFY) [NE/P013406/1, NE/L013746/1]
  13. Amazon Web Services (AWS) through an AWS Machine Learning Research Award
  14. NERC-funded North Atlantic Climate System Integrated Study (ACSIS) program via the National Centre for Atmospheric Science (NCAS)
  15. Met Office Hadley Centre Climate Programme - Department for Business, Energy and Industrial Strategy (BEIS)
  16. Department for Environment, Food, and Rural Affairs (DEFRA) [GA01101]
  17. Royal Society Wolfson Merit Award
  18. NERC CLARIFY [NE/L013479/1]
  19. NERC [NE/P013406/1, NE/L013479/1, NE/G006172/1, NE/I020059/1, NE/J024252/1, NE/L01355X/1] Funding Source: UKRI

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The change in planetary albedo due to aerosol-cloud interactions during the industrial era is the leading source of uncertainty in inferring Earth's climate sensitivity to increased greenhouse gases from the historical record. The variable that controls aerosol-cloud interactions in warm clouds is droplet number concentration. Global climate models demonstrate that the present-day hemispheric contrast in cloud droplet number concentration between the pristine Southern Hemisphere and the polluted Northern Hemisphere oceans can be used as a proxy for anthropogenically driven change in cloud droplet number concentration. Remotely sensed estimates constrain this change in droplet number concentration to be between 8 cm(-3) and 24 cm(-3). By extension, the radiative forcing since 1850 from aerosol-cloud interactions is constrained to be -1.2 W.m(-2) to -0.6 W.m(-2). The robustness of this constraint depends upon the assumption that pristine Southern Ocean droplet number concentration is a suitable proxy for preindustrial concentrations. Droplet number concentrations calculated from satellite data over the Southern Ocean are high in austral summer. Near Antarctica, they reach values typical of Northern Hemisphere polluted outflows. These concentrations are found to agree with several in situ datasets. In contrast, climate models show systematic underpredictions of cloud droplet number concentration across the Southern Ocean. Near Antarctica, where precipitation sinks of aerosol are small, the underestimation by climate models is particularly large. This motivates the need for detailed process studies of aerosol production and aerosol-cloud interactions in pristine environments. The hemispheric difference in satellite estimated cloud droplet number concentration implies preindustrial aerosol concentrations were higher than estimated by most models.

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