How does cloud-radiative heating over the North Atlantic change with grid spacing, convective parameterization, and microphysics scheme in ICON version 2.1.00?
Author
Sullivan, S.Keshtgar, B.
Albern, N.
Bala, E.
Braun, C.
Choudhary, A.
Hörner, J.
Lentink, H.
Papavasileiou, G.
Voigt, A.
Affiliation
Department of Chemical and Environmental Engineering, University of ArizonaIssue Date
2023-06-27
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Copernicus PublicationsCitation
Sullivan, S., Keshtgar, B., Albern, N., Bala, E., Braun, C., Choudhary, A., Hörner, J., Lentink, H., Papavasileiou, G., and Voigt, A.: How does cloud-radiative heating over the North Atlantic change with grid spacing, convective parameterization, and microphysics scheme in ICON version 2.1.00?, Geosci. Model Dev., 16, 3535–3551, https://doi.org/10.5194/gmd-16-3535-2023, 2023.Journal
Geoscientific Model DevelopmentRights
© Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Cloud-radiative heating (CRH) within the atmosphere and its changes with warming affect the large-scale atmospheric winds in a myriad of ways, such that reliable predictions and projections of circulation require reliable calculations of CRH. In order to assess the sensitivities of upper-tropospheric midlatitude CRH to model settings, we perform a series of simulations with the ICOsahedral Nonhydrostatic Model (ICON) over the North Atlantic using six different grid spacings, parameterized and explicit convection, and one- versus two-moment cloud microphysics. While sensitivity to grid spacing is limited, CRH profiles change dramatically with microphysics and convection schemes. These dependencies are interpreted via decomposition into cloud classes and examination of cloud properties and cloud-controlling factors within these different classes. We trace the model dependencies back to differences in the mass mixing ratios and number concentrations of cloud ice and snow, as well as vertical velocities. Which frozen species are radiatively active and the broadening of the vertical velocity distribution with explicit convection turn out to be crucial factors in altering the modeled CRH profiles. © Copyright:Note
Open access journalISSN
1991-959XVersion
Final Published Versionae974a485f413a2113503eed53cd6c53
10.5194/gmd-16-3535-2023
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Except where otherwise noted, this item's license is described as © Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License.