Identifying the pathways of extreme rainfall in South Africa using storm trajectory analysis and unsupervised machine learning techniques

Identifying the pathways of extreme rainfall in South Africa using storm trajectory analysis and unsupervised machine learning techniques

This study has utilised National Oceanic and Atmospheric Administration (NOAA) NCEP/NCAR Reanalysis 1 project meteorological data and the HYSPLIT model to extract the air parcel trajectories for selected historical extreme rainfall events in South Africa. The k-means unsupervised machine learning al...

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Detalhes bibliográficos
Principais autores: Rhys Phillips, Katelyn Ann Johnson, Andrew Paul Barnes, Thomas Rodding Kjeldsen
Formato: Artigo
Idioma:English
Publicado em: IWA Publishing 2024-01-01
coleção:Journal of Hydroinformatics
Assuntos:
extreme rainfall
k-means clustering
south africa
trajectories
unsupervised learning
Acesso em linha:http://jhydro.iwaponline.com/content/26/1/162

Internet

http://jhydro.iwaponline.com/content/26/1/162

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