In coastal regions, the complex interaction of synoptic-scale dynamics and breeze regimes influence the local atmospheric circulation, permitting to distinguish typical yet alternative patterns. In this paper, the k-means clustering algorithm is applied to the hourly time series of wind intensity and direction collected by in-situ weather stations at seven locations within 30 km from the western coastline of central Italy, in the proximity of Rome, over the period 2014-2020. The selection of both wind-integral quantities and ad hoc objective parameters allows for the identification of three characteristic clusters, two of which are closely related to the synoptic circulation and governed by persistent winds, blowing from either the northeast or the southeast direction throughout the day. In the latter case, synoptic and mesoscale contributions add up, giving rise to a complex circulation at the ground level. On the contrary, the third cluster is closely related to the sea breeze regime. The results allow the identification of some general information about the low-level circulation, showing that the synoptic circulation dominates in winter and, partly, in spring and autumn, when high ventilation and low recirculation conditions occur. Conversely, during summer the sea breeze regime is more frequent and stronger, generating intense air recirculation. Our analysis permits to discern rigorously and objectively the typical coastal meteorological patterns, only requiring anemological in-situ data.

Classification of synoptic and local-scale wind patterns using k-means clustering in a Tyrrhenian coastal area (Italy) / Di Bernardino, Annalisa; Iannarelli, Anna Maria; Casadio, Stefano; Pisacane, Giovanna; Mevi, Gabriele; Cacciani, Marco. - In: METEOROLOGY AND ATMOSPHERIC PHYSICS. - ISSN 0177-7971. - 134:2(2022). [10.1007/s00703-022-00871-z]

Classification of synoptic and local-scale wind patterns using k-means clustering in a Tyrrhenian coastal area (Italy)

Di Bernardino, Annalisa
Primo
Formal Analysis
;
Iannarelli, Anna Maria
Secondo
;
Cacciani, Marco
Ultimo
Supervision
2022

Abstract

In coastal regions, the complex interaction of synoptic-scale dynamics and breeze regimes influence the local atmospheric circulation, permitting to distinguish typical yet alternative patterns. In this paper, the k-means clustering algorithm is applied to the hourly time series of wind intensity and direction collected by in-situ weather stations at seven locations within 30 km from the western coastline of central Italy, in the proximity of Rome, over the period 2014-2020. The selection of both wind-integral quantities and ad hoc objective parameters allows for the identification of three characteristic clusters, two of which are closely related to the synoptic circulation and governed by persistent winds, blowing from either the northeast or the southeast direction throughout the day. In the latter case, synoptic and mesoscale contributions add up, giving rise to a complex circulation at the ground level. On the contrary, the third cluster is closely related to the sea breeze regime. The results allow the identification of some general information about the low-level circulation, showing that the synoptic circulation dominates in winter and, partly, in spring and autumn, when high ventilation and low recirculation conditions occur. Conversely, during summer the sea breeze regime is more frequent and stronger, generating intense air recirculation. Our analysis permits to discern rigorously and objectively the typical coastal meteorological patterns, only requiring anemological in-situ data.
2022
coastal region; in-situ weather observations; k-means clustering; sea-breeze; synoptic circulation
01 Pubblicazione su rivista::01a Articolo in rivista
Classification of synoptic and local-scale wind patterns using k-means clustering in a Tyrrhenian coastal area (Italy) / Di Bernardino, Annalisa; Iannarelli, Anna Maria; Casadio, Stefano; Pisacane, Giovanna; Mevi, Gabriele; Cacciani, Marco. - In: METEOROLOGY AND ATMOSPHERIC PHYSICS. - ISSN 0177-7971. - 134:2(2022). [10.1007/s00703-022-00871-z]
File allegati a questo prodotto
File Dimensione Formato  
Di Bernardino_Classifcation of synoptic_2022.pdf

Open Access dal 24/02/2024

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 3.07 MB
Formato Adobe PDF
3.07 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1613640
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 8
  • ???jsp.display-item.citation.isi??? 5
social impact