Title: Climate Sensitivity Analysis Using Neural Networks
Authors: ZWICK AstridCANARELLI Patrick
Citation: Fresenius Environmental Bulletin vol. 5 p. 700-705
Publication Year: 1996
JRC N°: JRC14092
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC14092
Type: Articles in periodicals and books
Abstract: Despite the progress in climate research, natural climate variability still involves basic questions on the effect of different forcing factors on climate. In the present study, the major climate forcing factors are analysed by means of a neural network using data of an Antarctic ice core. The results show that a neural network can reconstruct some of the main aspects of the development of the temperature changes over the past 160,000 years with only minor deviations and might be a valuable tool for understanding the climate system.
JRC Directorate:Growth and Innovation

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