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Using satellite observations to evaluate model representation of Arctic mixed-phase clouds
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  • Jonah K Shaw,
  • Zachary McGraw,
  • Olimpia Bruno,
  • Trude Storelvmo,
  • Stefan Hofer
Jonah K Shaw
University of Colorado at Boulder, University of Colorado at Boulder

Corresponding Author:jonah.shaw@colorado.edu

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Zachary McGraw
University of Oslo, University of Oslo
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Olimpia Bruno
Karlsruhe Institute of Technology, Karlsruhe Institute of Technology
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Trude Storelvmo
University of Oslo, University of Oslo
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Stefan Hofer
University of Oslo, University of Oslo
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Clouds play an important role in determining Arctic warming, but remain difficult to constrain with available observations. We use two satellite-derived cloud phase metrics to investigate the vertical structure of Arctic clouds in global climate models that use the Community Atmosphere Model version 6 (CAM6) atmospheric component. We produce a set of constrained model runs by adjusting model microphysical variables to match the cloud phase metrics. Models in this small ensemble have variable representation of cloud amount and phase in the winter, while uniformly underestimating total cloud cover in the spring and overestimating it in the summer. We find a consistent correlation between winter and spring cloud cover simulated for the present-day and the longwave cloud feedback parameter.
16 Feb 2022Published in Geophysical Research Letters volume 49 issue 3. 10.1029/2021GL096191