Predictability of convective precipitation

 
Poster PDF

Authors

David A. Randall — Colorado State University
Todd R. Jones — Colorado State University

Category

Cloud Properties

Description

Cumulus parameterizations predict the expected values of the convective precipitation rate, and the convective heating and drying rates, as functions of the large-scale sounding and the resolved-scale forcing. These predictions are statistical and have uncertainties that depend on the model’s grid spacing and also on the rate at which the resolved-scale weather situation is changing. We will present an analysis of the results of a large number of numerical experiments with a three-dimensional cloud-resolving model designed to investigate the dependence of the uncertainty of grid spacing and other parameters.