NDLI: Improved power-law estimates from multiple samples provided by millennium climate simulations

Content Provider	Springer Nature Link
Author	Henriksson, S. V. Räisänen, P. Silen, J. Järvinen, H. Laaksonen, A.
Copyright Year	2014
Abstract	Using the long annual mean temperature time series provided by millennium Earth System Model simulations and a method of discrete Fourier transform with varying starting point and length of time window together with averaging, we get good fits to power laws between two characteristic oscillatory timescales of the model climate: multidecadal (50–80 years) and El Nino (3–6 years) timescales. For global mean temperature, we fit β ∼ 0.35 in a relation S(f) ∼ f −β in a simulation without external climate forcing and β over 0.7 in a simulation with external forcing included. The power law is found both with and without external forcing despite the forcings, e.g. the volcanic forcing, not showing similar behaviour, indicating a nonlinear temperature response to time-varying forcing. We also fit a power law with β ∼ 8 to the narrow frequency range between El Nino frequencies (up to 1/(3.2 years)) and the Nyquist frequency (1/(2 years)). Also, monthly mean temperature time series are considered and a decent power-law fit for frequencies above 1/year is obtained. Regional variability in best-fit β is explored, and the impact of choosing the frequency range on the result is illustrated. When all resolved frequencies are used, land areas seem to have lower βs than ocean areas on average, but when fits are restricted to frequencies below 1/(6 years), this difference disappears, while regional differences still remain. Results compare well with measurements both for global mean temperature and for the central England temperature record.
Starting Page	667
Ending Page	677
Page Count	11
File Format	PDF
ISSN	0177798X
Journal	Theoretical and Applied Climatology
Volume Number	119
Issue Number	3-4
e-ISSN	14344483
Language	English
Publisher	Springer Vienna
Publisher Date	2014-03-25
Publisher Place	Vienna
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Atmospheric Sciences Climatology Atmospheric Protection/Air Quality Control/Air Pollution Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science

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