New Release of Cloud Modeling Best Estimate Data Set

Published: 8 September 2009

Detailed observations of clouds and radiation, along with the associated large-scale conditions such as temperature and relative humidity profiles, surface precipitation, and sensible and latent heat fluxes, provide invaluable information to understand the structure and temporal variability of observed cloud systems. All these variables are now conveniently packaged into the latest release of the Climate Modeling Best Estimate data to assist the modeling community in improving cloud parameterizations. The integrated example here shows data from numerous instruments at the ARM Southern Great Plains site to illustrate the evolution of cloud properties from shallow cumulus to deep convection during a summer storm on June 17, 2007.

More information about this data set is available on the CBME web page.