Case-to-case variability of predictability of deep convection in a mesoscale model

Done, J. M., Craig, G. C., Gray, S. L. ORCID: https://orcid.org/0000-0001-8658-362X and Clark, P. A. ORCID: https://orcid.org/0000-0003-1001-9226 (2012) Case-to-case variability of predictability of deep convection in a mesoscale model. Quarterly Journal of the Royal Meteorological Society, 138 (664). pp. 638-648. ISSN 1477-870X doi: 10.1002/qj.943

Abstract/Summary

Successful quantitative precipitation forecasts under convectively unstable conditions depend on the ability of the model to capture the location, timing and intensity of convection. Ensemble forecasts of two mesoscale convective outbreaks over the UK are examined with a view to understanding the nature and extent of their predictability. In addition to a control forecast, twelve ensemble members are run for each case with the same boundary conditions but with perturbations added to the boundary layer. The intention is to introduce perturbations of appropriate magnitude and scale so that the large-scale behaviour of the simulations is not changed. In one case, convection is in statistical equilibrium with the large-scale flow. This places a constraint on the total precipitation, but the location and intensity of individual storms varied. In contrast, the other case was characterised by a large-scale capping inversion. As a result, the location of individual storms was fixed, but their intensities and the total precipitation varied strongly. The ensemble shows case-to-case variability in the nature of predictability of convection in a mesoscale model, and provides additional useful information for quantitative precipitation forecasting.