In order to study the “El Niño” phenomenon on the basis of the available data, we started an exploratory analysis of the set of surface temperature time-series produced from the USA's National Oceanic and Atmospheric Administration (NOAA). Some results of Principal Component Analysis and Hierarchical Factor Classification applied on The data set relative to the period 1991-2008 are reported. Together with the regular seasonal fluctuation and the subdivision in 14 classes of the time-series, all spatially connected, the occurrence of El Niño in 2007 results from the data as a very strong perturbation of an otherwise very regular pattern.
New Results of Multidimensional Analysis of TAO/NOAA Data on “El Niño” Phenomenon / Camiz, Sergio; J. J., Denimal; R., Purini. - (2014), pp. 24-45. (Intervento presentato al convegno E-ICES 9 tenutosi a Malargüe - Mendoza - Argentina nel 22-25/10/2013).
New Results of Multidimensional Analysis of TAO/NOAA Data on “El Niño” Phenomenon
CAMIZ, Sergio;
2014
Abstract
In order to study the “El Niño” phenomenon on the basis of the available data, we started an exploratory analysis of the set of surface temperature time-series produced from the USA's National Oceanic and Atmospheric Administration (NOAA). Some results of Principal Component Analysis and Hierarchical Factor Classification applied on The data set relative to the period 1991-2008 are reported. Together with the regular seasonal fluctuation and the subdivision in 14 classes of the time-series, all spatially connected, the occurrence of El Niño in 2007 results from the data as a very strong perturbation of an otherwise very regular pattern.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.