AbstractIn atmospheric dispersion models driven by meteorological data from Numerical Weather Prediction (NWP) models, it is necessary to include a parametrization for plume spread due to unresolved mesoscale motions. These are motions which are not resolved by the input NWP data but are larger in size than the three-dimensional turbulent motions represented by turbulence parametrizations. Neglecting the effect of these quasi two-dimensional unresolved mesoscale motions has been shown to lead to underprediction of plume spread and overprediction of concentrations within the plume. NWP modelling is conducted at a range of resolutions which resolve different scales of motion. This suggests that any parametrization of unresolved mesoscale motions should depend on the resolution of the input NWP data.Spectral analysis of NWP data and wind observations is used to assess the mesoscale motions unresolved by the NWP model. Appropriate velocity variances and Lagrangian timescales for these motions are found by calculating the missing variance in the energy spectra and analysing correlation functions. A strong dependence on the resolution of the NWP data is seen, resulting in larger velocity variances and Lagrangian timescales from the lower resolution models. A parametrization of unresolved mesoscale motions based on the NWP resolution is proposed.
Journal of Applied Meteorology and Climatology – American Meteorological Society
Published: Jan 5, 2018
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