Late Quaternary temperature variability described as abrupt transitions on a  1/&amp;lt;i&amp;gt;f&amp;lt;/i&amp;gt; noise background

Rypdal, Martin; Rypdal, Kristoffer

doi:10.5194/esd-7-281-2016

Cited by 19 publications

(19 citation statements)

References 18 publications

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“…The STLF behaves like a Lèvy flight on small time scales, while on long time scales, the statistics are close to Brownian motion [18]. Thus, it is clearly neither self-similar nor multifractal, which was proven in [19].…”

Section: B Examplesmentioning

confidence: 94%

Consistency of detrended fluctuation analysis

Løvsletten¹

2017

Phys. Rev. E

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Section: B Examplesmentioning

confidence: 94%

Consistency of detrended fluctuation analysis

Løvsletten¹

2017

Phys. Rev. E

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“…Indeed, they, and others, provide a range of empirical evidence that suggests that climate does exhibit emergent regularities. (See, for example, Huybers and Curry 2006, Lovejoy and Schertzer 2013, Lovejoy 2015, Rypdal and Rypdal 2016 There is much to consider here. Is thinking of climate states in terms of distributions of weather conditions indeed so intimately tied to a view about the dynamics of climate?…”

Section: Climate Statesmentioning

confidence: 99%

Issues in the theoretical foundations of climate science

Katzav

Parker

2018

Studies in History and Philosophy of Science Part B: Studies in

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Additional information: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details.Abstract. The theoretical foundations of climate science have received little attention from philosophers thus far, despite a number of outstanding issues. We provide a brief, non-technical overview of several of these issuesrelated to theorizing about climates, climate change, internal variability and moreand attempt to make preliminary progress in addressing some of them. In doing so, we hope to open a new thread of discussion in the emerging area of philosophy of climate science, focused on theoretical foundations.

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“…Instrumental temperature data are not included in our analysis of multiple scaling regimes because previous studies do not show pronounced breaks in the scaling after detrending to account for influences from anthropogenic warming (Rypdal et al, 2013). The series are too short to detect scale breaks at centennial timescales.…”

Section: The Concept Of Multiple Scaling Regimes In the Holocenementioning

confidence: 99%

“…The latter may be attributed to solar, volcanic, greenhouse gas and/or orbital radiative forcing, or internal climate modes such as the El Niño-Southern Oscillation (ENSO). There is a considerable body of literature suggesting that longrange memory (LRM) stochastic processes are good statistical models for de-seasonalized local and global tempera-ture records on timescales from months up to a century or more (Koscielny-Bunde et al, 1996;Rybski et al, 2006;Efstathiou et al, 2011;Rypdal et al, 2013;Østvand et al, 2014). The standard continuous-time stochastic LRM processes are the fractional Gaussian noise (fGn) and fractional Brownian motion (fBm).…”

Section: Introductionmentioning

confidence: 99%

Are there multiple scaling regimes in Holocene temperature records?

2016

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Abstract. The concept of multiple scaling regimes in temperature time series is examined, with emphasis on the question whether or not a monoscaling model with one single scaling regime can be rejected from observation data from the Holocene. A model for internal variability with only one regime is simpler and allows more certain predictions on timescales of centuries when combined with existing knowledge of radiative forcing. Our analysis of spectra from stable isotope ratios from Greenland and Antarctica ice cores shows that a scale break around centennial timescales is evident for the last glacial period, but not for the Holocene. Spectra from a number of late Holocene multiproxy temperature reconstructions, and one from the entire Holocene, have also been analysed, without identifying a significant scale break. Our results indicate that a single-regime scaling climate noise, with some non-scaling fluctuations on a millennial timescale superposed, cannot be rejected as a null model for the Holocene climate. The scale break observed from the glacial time ice-core records is likely caused by the influence of Dansgaard–Oeschger events and teleconnections to the Southern Hemisphere on centennial timescales. From our analysis we conclude that the two-regime model is not sufficiently justified for the Holocene to be used for temperature prediction on centennial timescales.

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Late Quaternary temperature variability described as abrupt transitions on a 1/<i>f</i> noise background

Cited by 19 publications

References 18 publications

Consistency of detrended fluctuation analysis

Consistency of detrended fluctuation analysis

Issues in the theoretical foundations of climate science

Are there multiple scaling regimes in Holocene temperature records?

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