13th Symposium on Global Change and Climate Variations

13.1

Examining model sensitivities to cloud microphysics using a single-column model, NCEP forecasts and ARM data

Sam F. Iacobellis, SIO/Univ. of California, La Jolla, CA; and R. C. J. Somerville

We have investigated the sensitivity of modeled radiative fluxes to the specification of cloud microphysical parameterizations using a single-column model and measurements from the Atmospheric Radiation Measurement Program. The single-column model was run for the three month period of June-August, 2000 at the ARM Southern Great Plains site. The model was forced using 0-24 hour forecast products from the NCEP GSM. Several model runs were performed, each with a different package of cloud microphysical parameterizations. The temporal evolution of modeled cloud amount as well as surface radiative fluxes from a control run compare well with ARM measurements at the Southern Great Plains site. Our results indicate that surface and top-of-atmosphere radiative fluxes are sensitive to the scheme used to specify the ice particle effective radius. However, the sensitivity does not appear as strong as that found in a previous study in the tropical western Pacific. We also found that the inclusion of ice particle fallout can have a significant effect on the amount and location of high cirrus clouds. A particularly interesting finding from the model results was that the variance of the modeled ice particle effective radius is considerably smaller than that suggested by ARM cloud radar measurements. This was the case for all four parameterizations of ice particle effective radius that were tested. Our preliminary results suggest that this underestimate of the ice particle effective radius variance can have significant effects on the modeled radiative fluxes due to the highly non-linear nature of cloud-radiation interactions. At the meeting we will present quantitative results from SCM simulations.

extended abstract  Extended Abstract (200K)

Session 13, Using ARM and Other Sources for Diagnostics
Wednesday, 16 January 2002, 3:30 PM-4:45 PM

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