Representing energy drain in numerical weather prediction models induced by boundary layer sub-grid scale processes

Abstract

The representation of sub-grid scale boundary layer processes is central to understanding the errors in numerical weather prediction model forecasts. Of particular importance are statistics associated with convective turbulence, notably the temporal and spatial variations of kinetic energy dissipation rate. In this paper we outline how a 1.5-micron Doppler lidar system may be used in this context, and propose an operational network of such systems for use in numerical forecasting. Copyright © 2009 Royal Meteorological Society

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