Knowledge of weather dynamics is very important, because it controls the climate. These processes are known both globally and in smaller areas. However, there is not always a statistical assessment of the possible changes that may occur in the atmosphere over the years. In order to evaluate from a climatic point of view the atmospheric dynamics that have occurred over the years, one of the most interesting tools used is wind analysis. This study aims to use anemometric data to assess changes in atmospheric dynamics, also investigating possible relations with precipitation. The prevailing wind directions, wind speed and precipitation were related in order to obtain a schematization of the dynamics occurred in micro areas. This has resulted in interesting reports that have shown a more pronounced change in the last 10 years.

Statistical analysis of wind to assess climate change (Central Italy) / Gentilucci, M.; Ghanem, M.; Barbieri, M.. - (2022), pp. 11-13. (Intervento presentato al convegno Conference of the Arabian journal of geosciences tenutosi a Sousse; Tunisia) [10.1007/978-3-030-72543-3_3].

Statistical analysis of wind to assess climate change (Central Italy)

Barbieri M.
Membro del Collaboration Group
2022

Abstract

Knowledge of weather dynamics is very important, because it controls the climate. These processes are known both globally and in smaller areas. However, there is not always a statistical assessment of the possible changes that may occur in the atmosphere over the years. In order to evaluate from a climatic point of view the atmospheric dynamics that have occurred over the years, one of the most interesting tools used is wind analysis. This study aims to use anemometric data to assess changes in atmospheric dynamics, also investigating possible relations with precipitation. The prevailing wind directions, wind speed and precipitation were related in order to obtain a schematization of the dynamics occurred in micro areas. This has resulted in interesting reports that have shown a more pronounced change in the last 10 years.
2022
Conference of the Arabian journal of geosciences
atmospheric dynamics; climate change; precipitation; wind
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Statistical analysis of wind to assess climate change (Central Italy) / Gentilucci, M.; Ghanem, M.; Barbieri, M.. - (2022), pp. 11-13. (Intervento presentato al convegno Conference of the Arabian journal of geosciences tenutosi a Sousse; Tunisia) [10.1007/978-3-030-72543-3_3].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1661056
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