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A Paradigm for Testing Cloud Parameterizations

Thomas P. Ackerman, Manajit Sengupta, Eugene E. Clothiaux

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Abstract

One of the main goals of the Atmospheric Radiation Measurement (ARM) Program is improvement of cloud and radiation parameterizations in general circulation models. This problem can be logically addressed within a three-step framework: 1) prediction of clouds from thermodynamic fields, 2) parameterization of microphysical properties of the clouds, and 3) parameterization of radiative properties of the clouds. The information derived from the parameterizations is used in a radiative transfer scheme to calculate heating rates and surface fluxes.

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What this paper is about

One of the main goals of the Atmospheric Radiation Measurement (ARM) Program is improvement of cloud and radiation parameterizations in general circulation models. This problem can be logically addressed within a three-step framework: 1) prediction of clouds from thermodynamic fields, 2) parameterization of microphysical properties of the clouds, and 3) parameterization of radiative properties of the clouds. The information derived from the parameterizations is used in a radiative transfer scheme to calculate heating rates and surface fluxes.

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Available abstract

One of the main goals of the Atmospheric Radiation Measurement (ARM) Program is improvement of cloud and radiation parameterizations in general circulation models. This problem can be logically addressed within a three-step framework: 1) prediction of clouds from thermodynamic fields, 2) parameterization of microphysical properties of the clouds, and 3) parameterization of radiative properties of the clouds. The information derived from the parameterizations is used in a radiative transfer scheme to calculate heating rates and surface fluxes.

Key concepts: Radiative transfer, Cloud computing, Meteorology, Environmental science, Parametrization (atmospheric modeling), Radiation, Atmospheric sciences, Computer science

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