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    The Structure of Climate Variability Across Scales

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    Authors
    Franzke, Christian
    Barbosa, Susanna
    Blender, Richard
    Laepple, Thomas
    Lambert, Fabice
    Nilsen, Tine
    Rypdal, Kristoffer
    Fredriksen, Hege-Beate
    Scotto, Manuel
    Vannitsem, Stéphane
    Watkins, Nicholas
    Yang, Lichao
    Yuan, Naiming
    Rypdal, Martin
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    Discipline
    Earth and related Environmental sciences
    Audience
    Scientific
    Date
    2020-03
    Publisher
    American Geophysical Union
    Metadata
    Show full item record
    Description
    Climate variables are related over long times and large distances.This shows up as correlations for averages on long intervals or between distant areas. An important finding is that the majority of correlations in climate can be described by a simple mathematical relationship.We present such correlations for temperature on long times. Similarly, the intensity of precipitation events depends on their frequency in a simple manner. A useful concept is scaling where a scale denotes the width of an average. Scaling says that averages on different scales are related by a simple function—mathematically, this is a power law with the scaling exponent as a characteristic number. Scaling has impacts on predictability, temperature trends, and the assessment of future climate changes caused by anthropogenic forcing.
    Citation
    Franzke Ch. S. Barbosa, R. Blender, H-B Fredriksen, Th. Laepple, F. Lambert, T. Nilsen, K. Rypdal, M. Rypdal, M. G. Scotto, S. Vannitsem, N. W. Watkins, L. Yang, N. Yuan, The structure of climate variability across scales, Reviews of Geophysics, 58, e2019RG000657, 2020.
    Identifiers
    uri: https://orfeo.belnet.be/handle/internal/7604
    isi: https://doi.org/10.1029/2019RG000657
    Type
    Review
    Peer-Review
    Yes
    Language
    eng
    Links
    NewsHelpdeskBELSPO OA Policy

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