Predicting Small-Scale, Short-Lived Downbursts: Case Study with the NWP Limited-Area ALARO Model for the Pukkelpop Thunderstorm

Pieter De Meutter Royal Meteorological Institute of Belgium, Brussels, and Department of Physics and Astronomy, Ghent University, Ghent, Belgium

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Luc Gerard Royal Meteorological Institute of Belgium, Brussels, Belgium

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Geert Smet Royal Meteorological Institute of Belgium, Brussels, Belgium

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Karim Hamid Royal Meteorological Institute of Belgium, Brussels, Belgium

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Rafiq Hamdi Royal Meteorological Institute of Belgium, Brussels, Belgium

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Daan Degrauwe Royal Meteorological Institute of Belgium, Brussels, Belgium

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Piet Termonia Royal Meteorological Institute of Belgium, Brussels, and Department of Physics and Astronomy, Ghent University, Ghent, Belgium

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Abstract

The authors consider a thunderstorm event in 2011 during a music festival in Belgium that produced a short-lived downburst of a diameter of less than 100 m. This is far too small to be resolved by the kilometric resolutions of today’s operational numerical weather prediction models. Operational forecast models will not run at hectometric resolutions in the foreseeable future. The storm caused five casualties and raised strong societal questions regarding the predictability of such a traumatic weather event.

In this paper it is investigated whether the downdrafts of a parameterization scheme of deep convection can be used as proxies for the unresolved downbursts. To this end the operational model ALARO [a version of the Action de Recherche Petite Echelle Grande Echelle-Aire Limitée Adaptation Dynamique Développement International (ARPEGE-ALADIN) operational limited area model with a revised and modular structure of the physical parameterizations] of the Royal Meteorological Institute of Belgium is used. While the model in its operational configuration at the time of the event did not give a clear hint of a downburst event, it has been found that (i) the use of unsaturated downdrafts and (ii) some adaptations of the features of this downdraft parameterization scheme, specifically the sensitivity to the entrainment and friction, can make the downdrafts sensitive enough to the surrounding resolved-scale conditions to make them useful as indicators of the possibility of such downbursts.

Corresponding author address: Pieter De Meutter, Royal Meteorological Institute of Belgium, Ringlaan 3, 1180 Brussels, Belgium. E-mail: pieter.demeutter@meteo.be

Abstract

The authors consider a thunderstorm event in 2011 during a music festival in Belgium that produced a short-lived downburst of a diameter of less than 100 m. This is far too small to be resolved by the kilometric resolutions of today’s operational numerical weather prediction models. Operational forecast models will not run at hectometric resolutions in the foreseeable future. The storm caused five casualties and raised strong societal questions regarding the predictability of such a traumatic weather event.

In this paper it is investigated whether the downdrafts of a parameterization scheme of deep convection can be used as proxies for the unresolved downbursts. To this end the operational model ALARO [a version of the Action de Recherche Petite Echelle Grande Echelle-Aire Limitée Adaptation Dynamique Développement International (ARPEGE-ALADIN) operational limited area model with a revised and modular structure of the physical parameterizations] of the Royal Meteorological Institute of Belgium is used. While the model in its operational configuration at the time of the event did not give a clear hint of a downburst event, it has been found that (i) the use of unsaturated downdrafts and (ii) some adaptations of the features of this downdraft parameterization scheme, specifically the sensitivity to the entrainment and friction, can make the downdrafts sensitive enough to the surrounding resolved-scale conditions to make them useful as indicators of the possibility of such downbursts.

Corresponding author address: Pieter De Meutter, Royal Meteorological Institute of Belgium, Ringlaan 3, 1180 Brussels, Belgium. E-mail: pieter.demeutter@meteo.be
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