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Future Directions

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Climate Time Series Analysis

Part of the book series: Atmospheric and Oceanographic Sciences Library ((ATSL,volume 42))

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Abstract

What changes may bring the future to climate time series analysis? First we outline (Sections 9.1, 9.2 and 9.3) more short-term objectives of “normal science” (Kuhn 1970), extensions of previous material (Chapters 1, 2, 3, 4, 5, 6, 7 and 8). Then we take a chance (Sections 9.4 and 9.5) and look on paradigm changes in climate data analysis that may be effected by virtue of strongly increased computing power (and storage capacity). Whether this technological achievement comes in the form of grid computing (Allen 1999; Allen et al. 2000; Stainforth et al. 2007) or quantum computing (Nielsen and Chuang 2000; DiCarlo 2009; Lanyon et al. 2009)—the assumption here is the availability of machines that are faster by a factor of ten to the power of, say, twelve, by a mid-term period of, say, less than a few decades.

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Authors and Affiliations

  1. Climate Risk Analysis, Schneiderberg 26, 30167, Hannover, Germany

    Dr. Manfred Mudelsee

  2. Alfred Wegener Institute for Polar and Marine Research, Bussestrasse 24, 27570, Bremerhaven, Germany

    Dr. Manfred Mudelsee

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  1. Dr. Manfred Mudelsee
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Correspondence to Manfred Mudelsee .

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Mudelsee, M. (2010). Future Directions. In: Climate Time Series Analysis. Atmospheric and Oceanographic Sciences Library, vol 42. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9482-7_9

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