A short-term strong wind prediction model for railway application: design and verification

Autor:	Uwe Hoppmann, Thorsten Tielkes, Gerd Matschke, Stefan Koenig
Rok vydání:	2002
Předmět:	Warning system Meteorology Test site Nowcasting Renewable Energy Sustainability and the Environment Mechanical Engineering Environmental science Train Aerodynamics Wind speed Civil and Structural Engineering Term (time) Crosswind
Zdroj:	Journal of Wind Engineering and Industrial Aerodynamics. 90:1127-1134
ISSN:	0167-6105
DOI:	10.1016/s0167-6105(02)00226-x
Popis:	Deutsche Bahn AG (German Rail) developed a wind warning system to protect high-speed trains against strong crosswinds. Within this so-called Nowcasting System a short-term prediction of the maximum wind speed is made on the basis of continuous wind measurements at distinct locations of a high-speed railway line. The development of the prediction model was based on high-resolution wind data gathered from a meteorological test site which had been especially built for this purpose. The model has been independently verified by Deutscher Wetterdienst (German Weather Service) using wind data collected from various meteorological stations.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d3ee84c144156eb6d4266c6e567bfb64 https://doi.org/10.1016/s0167-6105(02)00226-x Zobrazit plný text záznamu Full Text from ScienceDirect