Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/7904
Title: Statistical analysis of wind to assess climate change (Central Italy)
Authors: Gentilucci, Matteo 
Ghanem, Marwan 
Barbieri, Maurizio 
Keywords: Wind;Precipitation (Meteorology);Atmospheric physics;Dynamic meteorology;Climatic changes
Issue Date: 2022
Publisher: Advances in Science, Technology and Innovation
Abstract: Knowledge of weather dynamics is very important,because it controls the climate. These processes areknown both globally and in smaller areas. However,there is not always a statistical assessment of thepossible changes that may occur in the atmosphereover the years. In order to evaluate from a climaticpoint of view the atmospheric dynamics that haveoccurred over the years, one of the most interestingtools used is wind analysis. This study aims to useanemometric data to assess changes in atmosphericdynamics, also investigating possible relations with precipitation. The prevailing wind directions, windspeed and precipitation were related in order toobtain a schematization of the dynamics occurred inmicro areas. This has resulted in interesting reportsthat have shown a more pronounced change in thelast 10 years.
URI: http://hdl.handle.net/20.500.11889/7904
DOI: 10.1007/978-3-030-72543-3_3
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