Cited by 57Meteorological Phenomena and SimulationsAtmospheric aerosols and cloudsClimate variability and models

Southeast pacific stratocumulus in the community atmosphere model.

Medeiros, Brian, Williamson, David L., Hannay, Cécile, Olson, Jerry G.·2012·Journal of Climate

Abstract

Forecasts of October 2006 are used to investigate southeast Pacific stratocumulus in the Community Atmosphere Model, versions 4 and 5 (CAM4 and CAM5). Both models quickly develop biases similar to their climatic biases, suggesting that parameterized physics are the root of the climate errors. An extensive cloud deck is produced in CAM4, but the cloud structure is unrealistic because the boundary layer is too shallow and moist. The boundary layer structure is improved in CAM5, but during the daytime the boundary layer decouples from the cloud layer, causing the cloud layer to break up and transition toward a more trade wind cumulus structure in the afternoon. The cloud liquid water budget shows how different parameterizations contribute to maintaining these different expressions of stratocumulus. Sensitivity experiments help elucidate the origins of the errors. The importance of the diurnal cycle of these clouds for climate simulations is emphasized.

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Crossref · 10.1175/jcli-d-11-00503.1

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  • The cause of parameterization biases is often model specific.

    “The cause of parameterization biases is often model specific (Medeiros et al., 2012), and ongoing observations of the boundary layer thermodynamic structure and its cloud, precipitation, and aerosol vertical structure, including the diurnal cycle, are needed for continued model improvement.”

    From The tropical atlantic observing system (2019) · cites this paper as Medeiros et al., 2012

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Authors
Medeiros, B., Williamson, D. L., Hannay, C., & Olson, J. G.
Affiliations
NSF National Center for Atmospheric Research (US)
Venue
Journal of Climate
Published
2012-04-11
Volume
25
Issue
18
Pages
6175-6192
ISSN
  • 0894-8755 (ISSN-L)
  • 1520-0442
OpenAlex
W2082679908
Cited by
57
References
0
Citations by year
2025: 2 · 2023: 3 · 2022: 6 · 2021: 4 · 2020: 1 · 2019: 6 · 2018: 4 · 2017: 1 · 2016: 5 · 2015: 9 · 2014: 4 · 2013: 8 · 2012: 4
FWCI
5.46
Type
journal article
Language
en
Open access
closed
Locations
Journal of Climate (publishedVersion)
Topics
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
  • Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
  • Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
Keywords
Community Atmosphere Model, CAM4, CAM5, model bias, cloud parameterization, boundary layer structure, diurnal cycle, trade wind cumulus, cloud breakup, sensitivity experiments

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