Classification and identification of synoptic and non-synoptic extreme wind events from surface observations in South America: Fid-Bau Portal

Classification and identification of synoptic and non-synoptic extreme wind events from surface observations in South America

Vallis, Matthew B. / Loredo-Souza, Acir Mércio / Ferreira, Vanessa / Nascimento, Ernani de Lima

Abstract

Abstract As the global wind engineering community works towards the determination of a robust and accurate thunderstorm wind model to be implemented in national wind loading codes, there is a need to identify not only the regions most impacted by extreme non-synoptic winds, but the magnitude and frequency of such events. The Brazilian wind code, NBR 6123 (ABNT 1988), is currently undergoing a process of revision, allowing for the opportunity to study historical meteorological data with the aim to propose basic wind speed maps for both synoptic and non-synoptic winds. The separation of extreme wind events into classes is not a simple task and is made difficult by the presence of false observations which often take the form of sudden and sharp rises in wind speed, not dissimilar to real thunderstorm events. This study details the datasets and methodologies used in the creation of algorithms which were used to separate extreme wind events into one of three classes: non-synoptic, synoptic and suspect. Challenges and limitations faced by the implementation of such algorithms are identified and recommendations are made to potential future improvements.

Highlights • Analysis of temperature and pressure changes observed during intense gusts caused by convective storms in Brazil. • Development of algorithms which classify peak gusts observed by weather stations as either non-synoptic, synoptic or suspect. • Application of algorithms to South American surface weather stations located east of the Andes. • Potential universal application of algorithms confirmed by successful testing at locations in Australia and United States.