Cloud Tracking in Cloud-Resolving Models
نویسنده
چکیده
In recent years Cloud Resolving Models (CRMs) have become an increasingly important tool for the study of convective phenomena. CRMs should not be regarded as simply providing surrogates for observations; rather, they allow idealized but realistic simulations to be produced which provide a laboratory for the careful diagnostic analysis of generic convective systems. Such analysis is a distinctive methodology that is necessary to improve our understanding of the basic phenomena and to develop improved parameterization methods for the larger-scale models. We will describe a novel analysis technique for CRM data, which allows one to investigate statistical properties of the lifecycles of the “clouds” produced during CRM simulations.
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