The Whole Atmosphere Community Climate Model Version 6 (WACCM6)

By Andrew Gettelman, M. Mills, Douglas E. Kinnison, R. Garcia, Anne K. Smith, D. Marsh, S. Tilmes, F. Vitt, C. Bardeen, J. McInerny and 14 more. Journal of Geophysical Research - Atmospheres, 2019

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The Whole Atmosphere Community Climate Model version 6 (WACCM6) is a major update of the whole atmosphere modeling capability in the Community Earth System Model (CESM), featuring enhanced physical, chemical and aerosol parameterizations. This work describes WACCM6 and some of the important features of the model. WACCM6 can reproduce many modes of variability and trends in the middle atmosphere, including the quasi‐biennial oscillation, stratospheric sudden warmings, and the evolution of Southern Hemisphere springtime ozone depletion over the twentieth century. WACCM6 can also reproduce the climate and temperature trends of the 20th century throughout the atmospheric column. The representation of the climate has improved in WACCM6, relative to WACCM4. In addition, there are improvements in high‐latitude climate variability at the surface and sea ice extent in WACCM6 over the lower top version of the model (CAM6) that comes from the extended vertical domain and expanded aerosol chemistry in WACCM6, highlighting the importance of the stratosphere and tropospheric chemistry for high‐latitude climate variability.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/a27b5244582939688f2ffd73f52d535255f70e57

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Citations in the corpus

The Chemistry Mechanism in the Community Earth System Model Version 2 (CESM2) (2020, background): “Additional chemistry components 207 The chemistry for the stratosphere, mesosphere and lower thermosphere in CESM2 is 208 described in Gettelman et al. (2019) and the chemical reactions are included in Table S2.”
An Evaluation of the Large‐Scale Atmospheric Circulation and Its Variability in CESM2 and Other CMIP Models (2020, methodology): “An assessment of NH blocking using slightly different metrics can also found in Gettelman et al. (2019), their Figure 15, and Benedict et al. (2019).”