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
Discipline
Earth and related Environmental sciences
Audience
Scientific
Date
2020-03Publisher
American Geophysical Union
Metadata
Show full item recordDescription
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
Type
Review
Peer-Review
Yes
Language
eng