Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/1346
Analysis and downscaling multi-model seasonal forecasts in Peru using self-organizing maps
Title: Analysis and downscaling multi-model seasonal forecasts in Peru using self-organizing maps
Authors: Gutiérrez Llorente, José ManuelCano Trueba, RafaelCofiño, Antonio S.Sordo, Carmen María
Keywords: Predicción estacional; DEMETER project; Ensemble seasonal forecasts; Self-organizing maps
Issue Date: 2005
Publisher: Taylor & Francis
Citation: Tellus A. 2005, 57(3), p. 435-447
Publisher version: http://dx.doi.org/10.3402/tellusa.v57i3.14672
Abstract: We present an application of Self-Organizing Maps (SOM) for analyzing multi-model ensemble seasonal forecasts from the DEMETER project in the tropical area of Northern Peru. SOM is an automatic data-mining clustering technique which allows summarizing a high-dimensional data space in terms of a set of reference vectors (cluster centroids). Moreover, it has outstanding analysis and visualization properties, since the reference vectors can be projected into a 2D lattice preserving their high-dimensional topology.
Sponsorship : The authors are also grateful to the Comisión Interministerial de Ciencia y Tecnología (CICYT, CGL2004-02652 grant) for partial support of this work.
URI: http://hdl.handle.net/20.500.11765/1346
ISSN: 0280-6495
1600-0870
Appears in Collections:Artículos científicos 2005-2009


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