Multiscale cloud-system modeling
The central theme of this paper is to describe how cloud system resolving models (CRMs) of grid spacing âź1 km have been applied to various important problems in atmospheric science across a wide range of spatial and temporal scales and how these applications relate to other modeling approaches. A long-standing problem concerns the representation of organized precipitating convective cloud systems in weather and climate models. Since CRMs resolve the mesoscale to large scales of motion (i.e., 10 km to global) they explicitly address the cloud system problem. By explicitly representing organized convection, CRMs bypass restrictive assumptions associated with convective parameterization such as the scale gap between cumulus and large-scale motion. Dynamical models provide insight into the physical mechanisms involved with scale interaction and convective organization. Multiscale CRMs simulate convective cloud systems in computational domains up to global and have been applied in place of contemporary convective parameterizations in global models. Multiscale CRMs pose a new challenge for model validation, which is met in an integrated approach involving CRMs, operational prediction systems, observational measurements, and dynamical models in a new international project: the Year of Tropical Convection, which has an emphasis on organized tropical convection and its global effects.
document
http://n2t.net/ark:/85065/d7w37xkp
eng
geoscientificInformation
Text
publication
2016-01-01T00:00:00Z
publication
2009-11-26T00:00:00Z
An edited version of this paper was published by AGU. Copyright 2009 American Geophysical Union.
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