Atmospheric General Circulation Modeling
Definition of the Subject
This entry provides a brief introduction to the computer models of the atmosphere used for climate studies. The concepts of atmospheric forcing and response are developed and used to highlight the importance of clouds and aerosols to the climate system and the many uncertainties associated with their representation. Many processes that are important to the accurate representation of clouds and aerosols for climate are subgrid scale, and present both physical and computational challenges in atmospheric modeling. Other factors contributing to uncertainties in models are discussed, and some remaining challenges in atmospheric models are introduced.
This entry provides a brief description of models of the atmosphere used for climate studies. These models can be part of a coupled climate system model or Coupled Climate and Earth System Models, as described by Gent elesewhere in the section Climate Change Modeling and Methodology, but they can also be...
I would like to thank Sarah Fillmore for her editorial help and my colleagues at the Pacific Northwest National Laboratory and the National Center for Atmospheric Research for their willingness to share their expertise, knowledge, and model results with me over many years.
- 1.Arakawa A (2011) Toward unification of the multiscale modeling of the atmosphere. Atmos Chem Phys 11:3731–3742. doi:10.5194/acp-11-3731-2011, www.atmos-chem-phys.net/11/3731/2011/
- 2.Betts AK, Miller MJ (1993) The Betts–Miller scheme. In: Emanuel KA, Raymond DJ (eds) The representation of cumulus convection in numerical models of the atmosphere. American Meteorological Society, BostonGoogle Scholar
- 4.IPCC (2007) Summary for policymakers. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Climate change 2007: the physical science basis. contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, UK/New YorkGoogle Scholar
- 7.Lohmann U, Feichter J (2005) Global indirect aerosol effects: a review. Atmos Chem Phys 5:715–737. doi:1680-7324/acp/2005-5-715, www.atmos-chem-phys.org/acp/5/715/
- 14.Seinfeld JH, Pandis SN (1997) Atmospheric chemistry and physics. Wiley, New YorkGoogle Scholar
- 16.Stensrud DJ (2007) Parameterization schemes: keys to understanding numerical weather prediction models. Cambridge University Press, CambridgeGoogle Scholar
- 18.Taylor KE, Stouffer RJ, Meehl GA (2011) An overview of CMIP5 and the experiment design. Bull Am Meteorol Soc. doi:10.1175/BAMS-D-11-00094.1Google Scholar
- 19.Wang H, Rasch PJ, Feingold G (2011) Manipulating marine stratocumulus cloud amount and albedo: a process-modeling study of aerosol-cloud-precipitation interactions in response to injection of cloud condensation nuclei. Atmos Chem Phys Discuss 11:885–916. doi:10.5194/acpd-11-885-2011CrossRefGoogle Scholar
- 20.Washington W, Parkinson CL (2005) An introduction to three dimensional climate modeling, 2nd edn. University Science, Sausalito, p 354Google Scholar
- 21.Weart SR (2010) The discovery of global warming. Harvard University Press, Cambridge, MAGoogle Scholar
- 25.Myhre G, Highwood EJ, Shine KP, Stordal F (1998) New estimates of radiative forcing due to well mixed greenhouse gases. Geophysical Research Letters 25(14), pp. 2715–2718, doi:10.1029/98GL01908Google Scholar