文章基本信息

标题：Chaotic dynamics, Markov processes and climate predictability
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作者：C. Nicolis
期刊名称：Tellus A: Dynamic Meteorology and Oceanography
电子版ISSN：1600-0870
出版年度：1990
卷号：42
期号：4
页码：401-412
DOI：10.3402/tellusa.v42i4.11886
摘要：A systematic method for mapping deterministic chaos in general, and atmospheric and climate dynamics in particular, into a Markovian process is developed. The possibility of using the Markovian description for carrying out long-term statistical predictions is suggested, and illustrated on simple models and on data pertaining to sea surface temperature anomalies which can be reduced to one-dimensional maps.