Wind gust phenomenon

1987 ◽  
Vol 1 (5) ◽  
pp. 251
Author(s):  
K.A. Austin
Keyword(s):  
Wind Gust

scholarly journals Northern Ireland's longstanding record wind gust is almost certainly incorrect

Weather ◽  
2019 ◽  
Vol 75 (1) ◽  
pp. 8-13
Author(s):  
Lucy Aylott ◽  
Stephen Burt ◽  
Mark Saunders
Keyword(s):  
Wind Gust

scholarly journals A geostatistical extreme-value framework for fast simulation of natural hazard events

2016 ◽  
Vol 472 (2189) ◽  
pp. 20150855 ◽  
Author(s):  
Benjamin D. Youngman ◽  
David B. Stephenson
Keyword(s):  
Natural Hazard ◽  
Computational Cost ◽  
Additive Model ◽  
Simulation Method ◽  
Value Theory ◽  
Extreme Value ◽  
Wind Gust ◽  
Continuous Space ◽  
Statistical Framework ◽  
Distribution Parameters

We develop a statistical framework for simulating natural hazard events that combines extreme value theory and geostatistics. Robust generalized additive model forms represent generalized Pareto marginal distribution parameters while a Student’s t -process captures spatial dependence and gives a continuous-space framework for natural hazard event simulations. Efficiency of the simulation method allows many years of data (typically over 10 000) to be obtained at relatively little computational cost. This makes the model viable for forming the hazard module of a catastrophe model. We illustrate the framework by simulating maximum wind gusts for European windstorms, which are found to have realistic marginal and spatial properties, and validate well against wind gust measurements.

scholarly journals Development of a Nationwide, Low-Level Wind Shear Mosaic in France

2013 ◽  
Vol 28 (5) ◽  
pp. 1241-1260 ◽  
Author(s):  
Clotilde Augros ◽  
Pierre Tabary ◽  
Adrien Anquez ◽  
Jean-Marc Moisselin ◽  
Pascal Brovelli ◽  
...  
Keyword(s):  
Wind Shear ◽  
Propagation Speed ◽  
Horizontal Wind ◽  
Small Scale ◽  
Wind Gust ◽  
Density Currents ◽  
Use Of Data ◽  
Low Levels ◽  
Cell Propagation ◽  
Convective Cells

Abstract An algorithm for the detection of horizontal wind shear at low levels was developed. The algorithm makes use of data collected by all radars from the Application Radar à la Météorologie Infra-Synoptique (ARAMIS) operational network, in order to build a complete mosaic of wind shear over metropolitan France. The product provides an estimation of the maximum horizontal wind shear detected in the low levels, between 0 and 2 km AGL. Examination of the wind shear mosaic for different cases shows that the product is able to retrieve small-scale wind shear signatures that can be linked to either convergence lines ahead of convective cells, which are indicative of gust fronts, or strong convergence areas inside intense cells. A statistical evaluation of the wind shear mosaic was performed, by comparing horizontal wind shear observed inside the area defined by convective objects with wind gusts recorded along their trajectory by weather stations. A link between those different observations was clearly established. Therefore, the use of wind shear for wind gust prediction was tested in combination with other parameters: an estimation of the energetic potential of density currents, the cell surface with reflectivity over 51 dBZ, relative helicity, and cell propagation speed. Different wind gust warning rules were tested on 468 convection nowcasting objects (CONOs). The results clearly highlighted the benefits of using wind shear for wind gust estimation, and also demonstrated the improvement in forecasting skill when combining different parameters. The wind shear mosaic will be produced operationally before the end of 2013 and will be used to improve wind gust warnings provided to end users.

scholarly journals Wind Gust Detection and Impact Prediction for Wind Turbines

2018 ◽  
Vol 10 (4) ◽  
pp. 514 ◽  
Author(s):  
Kai Zhou ◽  
Nihanth Cherukuru ◽  
Xiaoyu Sun ◽  
Ronald Calhoun
Keyword(s):  
Wind Turbines ◽  
Wind Gust ◽  
Impact Prediction

Assessment of the Wind Gust Estimate Method in mesoscale modelling of storm events over West Germany

2009 ◽  
Vol 18 (5) ◽  
pp. 495-506 ◽  
Author(s):  
Joaquim G. Pinto ◽  
Christian P. Neuhaus ◽  
Andreas Krüger ◽  
Michael Kerschgens
Keyword(s):  
West Germany ◽  
Wind Gust ◽  
Storm Events ◽  
Mesoscale Modelling ◽  
Estimate Method

scholarly journals Wind gust estimation for Mid-European winter storms: towards a probabilistic view

2012 ◽  
Vol 64 (1) ◽  
pp. 17471 ◽  
Author(s):  
Kai Born ◽  
Patrick Ludwig ◽  
Joaquim G. Pinto
Keyword(s):  
Wind Gust ◽  
Winter Storms

scholarly journals Detection of convective systems through surface wind gust estimation based on Sentinel-1 images: A new approach

2018 ◽  
Vol 19 (12) ◽  
pp. e863 ◽  
Author(s):  
Tran Vu La ◽  
Christophe Messager ◽  
Marc Honnorat ◽  
Claire Channelliere
Keyword(s):  
Surface Wind ◽  
Wind Gust ◽  
New Approach ◽  
Convective Systems

scholarly journals The XWS open access catalogue of extreme European windstorms from 1979 to 2012

2014 ◽  
Vol 14 (9) ◽  
pp. 2487-2501 ◽  
Author(s):  
J. F. Roberts ◽  
A. J. Champion ◽  
L. C. Dawkins ◽  
K. I. Hodges ◽  
L. C. Shaffrey ◽  
...  
Keyword(s):  
Wind Speed ◽  
Grid Point ◽  
Storm Track ◽  
Wind Gust ◽  
Pressure Gradients ◽  
Valuable Resource ◽  
Model Bias ◽  
Severe Storms ◽  
High Loss ◽  
Catastrophe Models

Abstract. The XWS (eXtreme WindStorms) catalogue consists of storm tracks and model-generated maximum 3 s wind-gust footprints for 50 of the most extreme winter windstorms to hit Europe in the period 1979–2012. The catalogue is intended to be a valuable resource for both academia and industries such as (re)insurance, for example allowing users to characterise extreme European storms, and validate climate and catastrophe models. Several storm severity indices were investigated to find which could best represent a list of known high-loss (severe) storms. The best-performing index was Sft, which is a combination of storm area calculated from the storm footprint and maximum 925 hPa wind speed from the storm track. All the listed severe storms are included in the catalogue, and the remaining ones were selected using Sft. A comparison of the model footprint to station observations revealed that storms were generally well represented, although for some storms the highest gusts were underestimated. Possible reasons for this underestimation include the model failing to simulate strong enough pressure gradients and not representing convective gusts. A new recalibration method was developed to estimate the true distribution of gusts at each grid point and correct for this underestimation. The recalibration model allows for storm-to-storm variation which is essential given that different storms have different degrees of model bias. The catalogue is available at http://www.europeanwindstorms.org .

scholarly journals Runaway characteristics of gantry cranes for container handling by wind gust

2016 ◽  
Vol 3 (2) ◽  
pp. 15-00679-15-00679
Author(s):  
Kengo TAKAHASHI ◽  
Masajiro ABE ◽  
Toshikazu FUJINO
Keyword(s):  
Wind Gust ◽  
Container Handling ◽  
Gantry Cranes

scholarly journals Daily wind gust speed probabilities over Switzerland according to three types of synoptic circulation

2002 ◽  
Vol 22 (4) ◽  
pp. 485-499 ◽  
Author(s):  
Patricia Jungo ◽  
St�phane Goyette ◽  
Martin Beniston
Keyword(s):  
Wind Gust ◽  
Synoptic Circulation ◽  
Gust Speed
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