Articles | Volume 7, issue 2
https://doi.org/10.5194/esd-7-419-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esd-7-419-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Are there multiple scaling regimes in Holocene temperature records?
Tine Nilsen
CORRESPONDING AUTHOR
Department of Mathematics and Statistics, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
Kristoffer Rypdal
Department of Mathematics and Statistics, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
Hege-Beate Fredriksen
Department of Mathematics and Statistics, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
Viewed
Total article views: 2,870 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 17 Jul 2015)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
1,566 | 1,066 | 238 | 2,870 | 510 | 173 | 156 |
- HTML: 1,566
- PDF: 1,066
- XML: 238
- Total: 2,870
- Supplement: 510
- BibTeX: 173
- EndNote: 156
Total article views: 2,269 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Apr 2016)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
1,321 | 775 | 173 | 2,269 | 255 | 157 | 144 |
- HTML: 1,321
- PDF: 775
- XML: 173
- Total: 2,269
- Supplement: 255
- BibTeX: 157
- EndNote: 144
Total article views: 601 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 17 Jul 2015)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
245 | 291 | 65 | 601 | 255 | 16 | 12 |
- HTML: 245
- PDF: 291
- XML: 65
- Total: 601
- Supplement: 255
- BibTeX: 16
- EndNote: 12
Cited
16 citations as recorded by crossref.
- Climate models can correctly simulate the continuum of global-average temperature variability F. Zhu et al. 10.1073/pnas.1809959116
- Spatio-temporal variability of Arctic summer temperatures over the past 2 millennia J. Werner et al. 10.5194/cp-14-527-2018
- A wavelet lifting approach to long-memory estimation M. Knight et al. 10.1007/s11222-016-9698-2
- Spiky fluctuations and scaling in high-resolution EPICA ice core dust fluxes S. Lovejoy & F. Lambert 10.5194/cp-15-1999-2019
- Global Self‐Similar Scaling of Terrestrial Carbon With Aridity J. Yin & A. Porporato 10.1029/2022GL101040
- Is the glacial climate scale invariant? T. Mitsui et al. 10.1093/climsys/dzy011
- Comparing estimation techniques for temporal scaling in palaeoclimate time series R. Hébert et al. 10.5194/npg-28-311-2021
- Assessing the performance of the BARCAST climate field reconstruction technique for a climate with long-range memory T. Nilsen et al. 10.5194/cp-14-947-2018
- Geographic variability in dust and temperature in climate scaling regimes over the Last Glacial Cycle N. Acuña Reyes et al. 10.5194/cp-20-1579-2024
- Contrasting State‐Dependent Effects of Natural Forcing on Global and Local Climate Variability B. Ellerhoff et al. 10.1029/2022GL098335
- Probing the timescale dependency of local and global variations in surface air temperature from climate simulations and reconstructions of the last millennia B. Ellerhoff & K. Rehfeld 10.1103/PhysRevE.104.064136
- Earth’s Climate History from 4.5 Billion Years to One Minute J. Lin & T. Qian 10.1080/07055900.2022.2082914
- Millennial-scale climate variability over land overprinted by ocean temperature fluctuations R. Hébert et al. 10.1038/s41561-022-01056-4
- Quantile Regression–Based Spatiotemporal Analysis of Extreme Temperature Change in China M. Gao & C. Franzke 10.1175/JCLI-D-17-0356.1
- The Structure of Climate Variability Across Scales C. Franzke et al. 10.1029/2019RG000657
- Scaling regimes and linear/nonlinear responses of last millennium climate to volcanic and solar forcings S. Lovejoy & C. Varotsos 10.5194/esd-7-133-2016
15 citations as recorded by crossref.
- Climate models can correctly simulate the continuum of global-average temperature variability F. Zhu et al. 10.1073/pnas.1809959116
- Spatio-temporal variability of Arctic summer temperatures over the past 2 millennia J. Werner et al. 10.5194/cp-14-527-2018
- A wavelet lifting approach to long-memory estimation M. Knight et al. 10.1007/s11222-016-9698-2
- Spiky fluctuations and scaling in high-resolution EPICA ice core dust fluxes S. Lovejoy & F. Lambert 10.5194/cp-15-1999-2019
- Global Self‐Similar Scaling of Terrestrial Carbon With Aridity J. Yin & A. Porporato 10.1029/2022GL101040
- Is the glacial climate scale invariant? T. Mitsui et al. 10.1093/climsys/dzy011
- Comparing estimation techniques for temporal scaling in palaeoclimate time series R. Hébert et al. 10.5194/npg-28-311-2021
- Assessing the performance of the BARCAST climate field reconstruction technique for a climate with long-range memory T. Nilsen et al. 10.5194/cp-14-947-2018
- Geographic variability in dust and temperature in climate scaling regimes over the Last Glacial Cycle N. Acuña Reyes et al. 10.5194/cp-20-1579-2024
- Contrasting State‐Dependent Effects of Natural Forcing on Global and Local Climate Variability B. Ellerhoff et al. 10.1029/2022GL098335
- Probing the timescale dependency of local and global variations in surface air temperature from climate simulations and reconstructions of the last millennia B. Ellerhoff & K. Rehfeld 10.1103/PhysRevE.104.064136
- Earth’s Climate History from 4.5 Billion Years to One Minute J. Lin & T. Qian 10.1080/07055900.2022.2082914
- Millennial-scale climate variability over land overprinted by ocean temperature fluctuations R. Hébert et al. 10.1038/s41561-022-01056-4
- Quantile Regression–Based Spatiotemporal Analysis of Extreme Temperature Change in China M. Gao & C. Franzke 10.1175/JCLI-D-17-0356.1
- The Structure of Climate Variability Across Scales C. Franzke et al. 10.1029/2019RG000657
Saved (preprint)
Latest update: 19 Nov 2024
Short summary
In this article it is discussed how temperature variability on centennial timescales and longer can be described in a simplistic way. By analysing the scaling in late Holocene temperature reconstructions and longer temperature records from Greenland and Antarctic ice cores, we find that the choice of model depends heavily on the data material and timescale one chooses to emphasize. Ignoring data beyond the Holocene seems plausible when predicting temperature, but not for other purposes.
In this article it is discussed how temperature variability on centennial timescales and longer...
Altmetrics
Final-revised paper
Preprint