4.7 Article

Impact of aerosols on ice crystal size

Journal

ATMOSPHERIC CHEMISTRY AND PHYSICS
Volume 18, Issue 2, Pages 1065-1078

Publisher

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/acp-18-1065-2018

Keywords

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Funding

  1. NSF [AGS 1660587, 1701526]
  2. NASA
  3. NASA ROSES ACMAP grant
  4. Jet Propulsion Laboratory, California Institute of Technology
  5. NASA TASNPP grant
  6. Joint Institute for Regional Earth System Science and Engineering at the University of California, Los Angeles
  7. Climate Model Development and Validation Activity - Office of Biological and Environmental Research in the US Department of Energy Office of Science
  8. NASA CCST grant

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The interactions between aerosols and ice clouds represent one of the largest uncertainties in global radiative forcing from pre-industrial time to the present. In particular, the impact of aerosols on ice crystal effective radius (R-ei), which is a key parameter determining ice clouds' net radiative effect, is highly uncertain due to limited and conflicting observational evidence. Here we investigate the effects of aerosols on R-ei under different meteorological conditions using 9-year satellite observations. We find that the responses of R-ei to aerosol loadings are modulated by water vapor amount in conjunction with several other meteorological parameters. While there is a significant negative correlation between R-ei and aerosol loading in moist conditions, consistent with the Twomey effect for liquid clouds, a strong positive correlation between the two occurs in dry conditions. Simulations based on a cloud parcel model suggest that water vapor modulates the relative importance of different ice nucleation modes, leading to the opposite aerosol impacts between moist and dry conditions. When ice clouds are decomposed into those generated from deep convection and formed in situ, the water vapor modulation remains in effect for both ice cloud types, although the sensitivities of R-ei to aerosols differ noticeably between them due to distinct formation mechanisms. The water vapor modulation can largely explain the difference in the responses of R-ei to aerosol loadings in various seasons. A proper representation of the water vapor modulation is essential for an accurate estimate of aerosol-cloud radiative forcing produced by ice clouds.

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