The Impact of using different parameterizations of unresolved horizontal variability of cloud water in the CCCma GCM
Cole, Jason | Meteorological Service of Canada |
Barker, Howard | Meteorological Service of Canada |
Li, Jiangnan | Canadian Center for Climate Modelling |
von Salzen, Knut |
Category: Modeling
A current area of research in atmospheric radiative transfer involves description and inclusion of unresolved cloud structure in radiative transfer models that are used in global climate models (GCMs). One way of accounting for the structure of unresolved cloud in radiative transfer models is to use the Monte Carlo Independent Column Approximation (McICA) (see the poster by H. Barker). In this poster we focus on description of unresolved horizontal variability of cloud water. By using McICA in the GCM developed at the Canadian Climate Centre for Modelling and Analysis (CCCma), we assess the impact of two different (diagnostic) parameterizations for horizontal variability of cloud.
This poster will be displayed at the ARM Science Team Meeting.