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ACP | Articles | Volume 20, issue 1
Atmos. Chem. Phys., 20, 475–485, 2020
https://doi.org/10.5194/acp-20-475-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Arctic mixed-phase clouds as studied during the ACLOUD/PASCAL...

Atmos. Chem. Phys., 20, 475–485, 2020
https://doi.org/10.5194/acp-20-475-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 14 Jan 2020

Research article | 14 Jan 2020

Simulation of mixed-phase clouds with the ICON large-eddy model in the complex Arctic environment around Ny-Ålesund

Vera Schemann and Kerstin Ebell

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Cited articles

Dipankar, A., Stevens, B., Heinze, R., Moseley, C., Zängl, G., Giorgetta, M., and Brdar, S.: Large eddy simulation using the general circulation model ICON, J. Adv. Model. Earth Sy., 7, 963–986, https://doi.org/10.1002/2015MS000431, 2015. a, b
Ebell, K., Nomokonova, T., Maturilli, M., and Ritter, C.: Radiative effect of clouds at Ny-Ålesund, Svalbard, as inferred from ground-based remote sensing observations, J. Appl. Meteorol. Clim., https://doi.org/10.1175/JAMC-D-19-0080.1, 2019. a
Finnish Meteorological Institute: CloudNet Classification for Ny-Ålesund, available at: http://devcloudnet.fmi.fi/, last access: 11 December 2019. a
Gierens, R., Kneifel, S., Shupe, M. D., Ebell, K., Maturilli, M., and Löhnert, U.: Low-level mixed-phase clouds in a complex Arctic environment, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-610, in review, 2019. a
Goosse, H., Kay, J. E., Armour, K. C., Bodas-Salcedo, A., Chepfer, H., Docquier, D., Jonko, A., Kushner, P. J., Lecomte, O., Massonnet, F., Park, H.-S., Pithan, F., Svensson, G., and Vancoppenolle, M.: Quantifying climate feedbacks in polar regions, Nat. Commun., 9, 1919, https://doi.org/10.1038/s41467-018-04173-0, 2018. a
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In this study, we apply a high-resolution model at the observation supersite Ny-Ålesund (Svalbard) to evaluate mixed-phase clouds. These clouds are a potential driver for the stronger warming in the Arctic compared to the global mean, but their representation in climate models is typically rather poor due to complex microphysical processes. The presented combination of high-resolution modeling and long-term state-of-the-art observations can lead to improved process understanding.
In this study, we apply a high-resolution model at the observation supersite Ny-Ålesund...
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