Articles | Volume 20, issue 3
Atmos. Chem. Phys., 20, 1301–1316, 2020
https://doi.org/10.5194/acp-20-1301-2020
Atmos. Chem. Phys., 20, 1301–1316, 2020
https://doi.org/10.5194/acp-20-1301-2020
Research article
04 Feb 2020
Research article | 04 Feb 2020

The impact of secondary ice production on Arctic stratocumulus

Georgia Sotiropoulou et al.

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Cited articles

Barton, N. P., Klein, S. A., and Boyle, J. S.: On the Contribution of Longwave Radiation to Global Climate Model Biases in Arctic Lower Tropospheric Stability, J. Clim., 27, 7250–7269, https://doi.org/10.1175/JCLI-D-14-00126.1, 2014. 
Bogacki, P. and Shampine, L. F.: A 3(2) pair of Runge-Kutta formulas, Appl. Math. Lett., 2, 321–325, https://doi.org/10.1016/0893-9659(89)90079-7, 1989. 
British Antarctic Survey: Facility for Airborne Atmospheric Measurements, Met Office, Liu, D., McFiggans, G. B., Allan, J. D.: Aerosol-Cloud Coupling And Climate Interactions in the Arctic (ACCACIA) Measurement Campaign, NCAS British Atmospheric Data Centre, date of citation, http://catalogue.ceda.ac.uk/uuid/c59f184de7a408212ee926a9ee6bf66e (last access: January 2020), 2014. 
British Antarctic Survey: Data from the ACCACIA – Aerosol-Cloud Coupling And Climate Interactions in the Arctic project, available at: https://data.bas.ac.uk/metadata.php?id=GB/NERC/BAS/PDC/00821 (last access: January 2020), 2015. 
Brown, P. and Francis, P.: Improved measurements of the ice water content in cirrus using a total-water probe, J. Atmos. Ocean. Tech., 12, 410–414, 1995. 
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Short summary
Arctic clouds constitute a large source of uncertainty in predictions of future climate. Observations indicate that the number concentration of cloud ice crystals exceeds the concentration of aerosols that can act as ice-nucleating particles (INPs). We show that ice multiplication due to mechanical break-up upon collisions between the few primary ice crystals (formed from INPs) can explain the discrepancy. Including a description of the process in climate models can improve cloud representation.
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