Wind engineering study focuses on wind characteristics existing at atmospheric boundary layer altitude, based on measured wind speed data from the anemometer, acoustic radar, automatic weather station, and other equipment installed at suitable heights using available facilities. The wind flow has two important characteristics, namely wind speed and its direction. The time-varying characteristics include mean wind speed, turbulence intensity, turbulence integral scale, and power spectral density (PSD). Wind tunnel tests and CFD simulations are commonly used techniques to simulate the atmospheric wind flow. Although simulations are time-consuming, they offer relatively inexpensive prediction/damage models for synoptic wind conditions which are highly expandable in working conditions. In contrast, extreme wind events are more stochastic, and hence full-scale field measurement-based studies contribute to a database crucial to the characterization of such events. Very few field measurement-based studies have been possible in India to date despite the long coastline and multiple cyclonic storms annually. The present study deals with the analysis of cyclonic wind speed data obtained for a Northern Indian Ocean cyclone, Vardah (December 2016). However, with one such extreme event, a conclusive answer to many questions will need further research and a more extensive database.