Volatility in atmospheric temperature variability

R. B. Govindan; Armin Bunde; Shlomo Havlin

doi:10.1016/S0378-4371(02)01552-2

Volatility in atmospheric temperature variability

R. B. Govindan, Armin Bunde, Shlomo Havlin

Department of Physics - at Bar-Ilan University

Research output: Contribution to journal › Article › peer-review

24 Scopus citations

Abstract

Using detrended fluctuation analysis, we study the scaling properties of the volatility time series V_i = |T_i+1-T_i| of daily temperatures T_i for 10 chosen sites around the globe. We find that the volatility is long-range power-law correlated with an exponent γ close to 0.8 for all sites considered here. We use this result to test the scaling performance of several state-of-the art global climate models and find that the models do not reproduce the observed scaling behavior.

Original language	English
Pages (from-to)	529-536
Number of pages	8
Journal	Physica A: Statistical Mechanics and its Applications
Volume	318
Issue number	3-4
DOIs	https://doi.org/10.1016/S0378-4371(02)01552-2
State	Published - 15 Feb 2003

Bibliographical note

Funding Information:
This work has been supported by the Deutsche Forschungsgemeinschaft and the Israel Science Foundation. We wish to thank Y. Ashkenazy for useful discussions.

Funding

This work has been supported by the Deutsche Forschungsgemeinschaft and the Israel Science Foundation. We wish to thank Y. Ashkenazy for useful discussions.

Funders	Funder number
Deutsche Forschungsgemeinschaft
Israel Science Foundation

Keywords

Climate models
Correlations
DFA
Scaling analysis
Volatility

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/S0378-4371(02)01552-2

Cite this

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AU - Bunde, Armin

AU - Havlin, Shlomo

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KW - Correlations

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KW - Scaling analysis

KW - Volatility

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Volatility in atmospheric temperature variability

Abstract

Bibliographical note

Funding

Keywords

UN SDGs

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