Please use this identifier to cite or link to this item: https://repositorio.uca.edu.ar/handle/123456789/11512
Título : A Cluster Approach to Cloud Cover Classification over South America and Adjacent Oceans Using a k-means/k-means++ Unsupervised Algorithm on GOES IR Imagery
Autor : Yuchechen, Adrián E. 
Lakkis, Susan Gabriela 
Caferri, Agustin 
Canziani, Pablo O. 
Muszkats, Juan Pablo 
Palabras clave : NUBES CIRRUSTEMPERATURAGEODESIAINSTRUMENTOS DE MEDICIONALTIMETRIA
Fecha de publicación : 2020
Editorial : Molecular Diversity Preservation International
Cita : Yuchechen, A. E., Lakkis, S. G., Caferri, A., Canziani, P. O., Muszkats, J. P. A Cluster Approach to Cloud Cover Classification over South America and Adjacent Oceans Using a k-means/k-means++ Unsupervised Algorithm on GOES IR Imagery [en línea]. Remote Sensing. 2020, 12. Disponible en: https://repositorio.uca.edu.ar/handle/123456789/11512
Resumen : Abstract: An unsupervised k-means/k-means++ clustering algorithm was implemented on daily images of standardized anomalies of brightness temperature (Tb) derived from the Geostationary Operational Environmental Satellite (GOES)-13 infrared data for the period 1 December 2010 to 30 November 2016. The goal was to decompose each individual Tb image into four clusters that captures the characteristics of different cloud regimes. The extracted clusters were ordered by their mean value in an ascending fashion so that the lower the cluster order, the higher the clouds they represent. A linear regression between temperature and height with temperature used as the predictor was conducted to estimate cloud top heights (CTHs) from the Tb values. The analysis of the results was performed in two different ways: sample dates and seasonal features. Cluster 1 is the less dominant one, representing clouds with the highest tops and variabilities. Cluster 4 is the most dominant one and represents a cloud regime that spans the lowest 2 km of the troposphere. Clusters 2 and 3 are entangled in the sense that both have their CTHs spanning the middle troposphere. Correlations between the monthly time series of the number of pixels in each cluster and of the entropy with several circulation indices are also introduced. Additionally, a fractal-related analysis was carried out on cluster 1 in order to resolve cirrus and cumulonimbus.
URI : https://repositorio.uca.edu.ar/handle/123456789/11512
ISSN : 2072-4292
Disciplina: INGENIERIA AMBIENTAL
Derechos: Acceso abierto
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