TY  - JOUR
A1  - Franzke, Christian L. E.
A1  - Barbosa, Susana
A1  - Blender, Richard
A1  - Fredriksen, Hege-Beate
A1  - Laepple, Thomas
A1  - Lambert, Fabrice
A1  - Nilsen, Tine
A1  - Rypdal, Kristoffer
A1  - Rypdal, Martin
A1  - Scotto, Manuel G,
A1  - Vannitsem, Stéphane
A1  - Watkins, Nicholas W.
A1  - Yang, Lichao
A1  - Yuan, Naiming
T1  - The Structure of Climate Variability Across Scales
Y1  - 2020
VL  - 58
IS  - 2
JF  - Reviews of Geophysics
DO  - 10.1029/2019RG000657
DO  - 10.23689/fidgeo-4912
N2  - One of the most intriguing facets of the climate system is that it exhibits variability across all temporal and spatial scales; pronounced examples are temperature and precipitation. The structure of this variability, however, is not arbitrary. Over certain spatial and temporal ranges, it can be described by scaling relationships in the form of power laws in probability density distributions and autocorrelation functions. These scaling relationships can be quantified by scaling exponents which measure how the variability changes across scales and how the intensity changes with frequency of occurrence. Scaling determines the relative magnitudes and persistence of natural climate fluctuations. Here, we review various scaling mechanisms and their relevance for the climate system. We show observational evidence of scaling and discuss the application of scaling properties and methods in trend detection, climate sensitivity analyses, and climate prediction.
UR  - http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9258
ER  -