Based on the information available in databases from relevant national and international organizations from 1967 to 2010, an Aviation Weather Accidents Database (AWAD) was built. According to the AWAD, the weather is the
primary cause in a growing percentage of annual aircraft accidents: from about 40% in 1967 to almost 50% in 2010. While the absolute number of fatalities and injured people due to aircraft accidents has decreased significantly, the percentage of fatalities and injured people in accidents attributed to the weather shows a slight increase in the studied period. The influence of turbulence, clear air turbulence, wind shear, low visibility, rain, icing, snow and storms on aircraft accidents was analysed, considering the different phases of flight, the meteorological seasons of the year and the spatial distribution over four zones of the Earth. These zones were defined following meteorological and climatological criteria, instead of using the typical political criteria. A major part of the accidents and accidents attributed to the weather occur in latitudes between 12º and 38º in both hemispheres. It is concluded that actions aimed at reducing the risk associated with low visibility, rain and turbulence, in this order, should have priority to achieve the most significant improvements in air transport safety.
This is the pre-peer reviewed version of the following article: Mazon, J., Rojas, J. I., Lozano, M., Pino, D., Prats, X. and Miglietta, M. M. (2017), Influence of meteorological phenomena on worldwide aircraft accidents, 1967–2010. Met. Apps. doi:10.1002/met.1686, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/met.1686/abstract. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Extreme storms registered by the urban rain gauge network installed and supported by CLABSA
(Clavegueram de Barcelona S. A.) in Barcelona in the period 1994–2001 have been investigated. Eleven rain events
presenting intensities for durations between 5 min and 24 h with return periods equal to or larger than 5 years for any
of the network gauges have been found. A cluster analysis has yielded four main classes of extreme rainfall events in
this area, related to the meteorological scales involved: local (18%), mesoscale (37%) and synoptic storms (27%), as well
as more complex rain events originated by multiscale mechanisms acting together (18%). An intensity index to classify
extreme rainfall events in order to their complexity and severity, taking into account the contribution of the different scales
implied in the rainfall processes, has been calculated. The frequency distribution of the intensity index values obtained for
the urban network has resulted very similar to that calculated for rain data recorded by the Jard´ı gauge of the Observatory
Fabra of Barcelona during 1927–1992 inclusive.