The Structure of Climate Variability Across Scales

被引：91

作者：

Franzke, Christian L. E. ^{[1
,2
]}

Barbosa, Susana ^{[3
]}

Blender, Richard ^{[1
,2
]}

Fredriksen, Hege-Beate ^{[4
]}

Laepple, Thomas ^{[5
]}

Lambert, Fabrice ^{[6
]}

Nilsen, Tine ^{[7
,8
]}

Rypdal, Kristoffer ^{[7
]}

Rypdal, Martin ^{[7
]}

Scotto, Manuel G ^{[9
,10
]}

Vannitsem, Stephane ^{[11
]}

Watkins, Nicholas W ^{[12
,13
,14
]}

Yang, Lichao ^{[2
,15
]}

Yuan, Naiming ^{[16
]}

机构：

[1] Univ Hamburg, Meteorol Inst, Hamburg, Germany

[2] Univ Hamburg, Ctr Earth Syst Res & Sustainabil, Hamburg, Germany

[3] INESC TEC, Ctr Informat Syst & Comp Graph, Porto, Portugal

[4] UiT Arctic Univ Norway, Dept Phys & Technol, Tromso, Norway

[5] Helmholtz Ctr Polar & Marine Res, AlfredWegener Inst, Potsdam, Germany

[6] Pontificia Univ Catolica Chile, Geog Inst, Santiago, Chile

[7] UiT Arctic Univ Norway, Dept Math & Stat, Tromso, Norway

[8] Justus Liebig Univ Giessen, Dept Geog, Giessen, Germany

[9] Univ Lisbon, CEMAT, IST, Lisbon, Portugal

[10] Univ Lisbon, Dept Math, IST, Lisbon, Portugal

[11] Royal Meteorol Inst Belgium, Brussels, Belgium

[12] London Sch Econ, London, England

[13] Open Univ, Sch Engn & Innovat, Milton Keynes, Bucks, England

[14] Univ Warwick, Ctr Fus Space & Astrophys, Coventry, W Midlands, England

[15] Peking Univ, Dept Atmospher & Ocean Sci, Beijing, Peoples R China

[16] Chinese Acad Sci, Inst Atmospher Phys, Beijing, Peoples R China

来源：

REVIEWS OF GEOPHYSICS | 2020年 / 58卷 / 02期

基金：

美国国家科学基金会;

关键词：

scaling; climate variability; memory; scaling mechanisms; paleoclimate; power law; LONG-RANGE DEPENDENCE; NORTHERN-HEMISPHERE TEMPERATURES; DETRENDED FLUCTUATION ANALYSIS; FRACTIONAL BROWNIAN MOTIONS; HIGHLY OPTIMIZED TOLERANCE; STOCHASTIC MODE REDUCTION; LAST MILLENNIUM CLIMATE; KENDALL TREND TEST; TIME-SERIES; SCALING REGIMES;

D O I：

10.1029/2019RG000657

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

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.

引用

页数：44

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