Abstract

Downbursts are very disruptive weather events that can produce large amounts of damage. The most studied downbursts are those occurring in the United States and continental Europe, but they can happen globally. This work is an observational and modelling analysis of a major downburst event that occurred on 14 October 2016 over eastern Liguria (Italy). This downburst affected an area 30 km long and 10 km wide, producing observed wind gusts of 40 m/s with major impacts to railways, trees, and houses, with more than 2.5 million euros of damage. First, the general environment influencing this downburst is identified and analyzed, then the event is reproduced with a small multi-physics high-resolution ensemble using the Weather Research and Forecasting (WRF)–advanced research WRF (ARW) model, with 1 km horizontal grid spacing. The event was poorly predicted beforehand, and the difficulty in forecasting this event is confirmed by the fact that so few ensemble members suggested the occurrence of damaging winds over eastern Liguria. However, one of the eight members performed well and its output helped to reveal the primary mechanisms for the downburst, suggesting that high-resolution ensembles using mixed physics may be a useful tool for improving the prediction of similar extreme events in the Mediterranean region in the future.

Highlights

  • Downbursts are among the most disruptive severe weather events, with large socio-economic impacts

  • Temperatures rapidly dropped by about 10 ◦ C in a few tens of minutes. Different data sources, such as radar, in situ weather station, and lightning sensors, will be used to reconstruct the observed spatial–temporal evolution of the macroburst, and to validate modelling results obtained with multi-physics Weather Research and Forecasting (WRF) simulations using horizontal grid spacing as fine as 1 km

  • These stations provide the maximum wind intensity and average wind observations predicted 10 m wind speed at 15 ARPAL station locations, which cover the entire area affected by in 10 min intervals, while WRF output is available with 5 min temporal resolution

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Summary

Introduction

Downbursts are among the most disruptive severe weather events, with large socio-economic impacts. [16] studied a downburst episode in Livorno (central Italy) that occurred on 1 October 2012 on a spatial scale of 2–3 km, by using model analyses, standard in situ measurements, remote sensing techniques, proxy data, and direct observations Their results brought new insights into a downburst’s predictability in the Mediterranean, its evolution at the local scale, and the possible role of specific synoptic-scale weather conditions, like secondary cyclogenesis in the lee of the Alps. Temperatures rapidly dropped by about 10 ◦ C in a few tens of minutes Different data sources, such as radar, in situ weather station, and lightning sensors, will be used to reconstruct the observed spatial–temporal evolution of the macroburst, and to validate modelling results obtained with multi-physics Weather Research and Forecasting (WRF) simulations using horizontal grid spacing as fine as 1 km.

WRF Model Setup
Synoptic and Mesoscale Environment
Radar reflectivity fromfrom the Collobrieres radar on on
Region affected bydownburst the downburst fromAntico
Results
4–5 K temperature
Conclusions
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