Articles | Volume 6, issue 2
https://doi.org/10.5194/esd-6-719-2015
https://doi.org/10.5194/esd-6-719-2015
Research article
 | 
18 Nov 2015
Research article |  | 18 Nov 2015

Attribution in the presence of a long-memory climate response

K. Rypdal

Related authors

Empirical growth models for the renewable energy sector
Kristoffer Rypdal
Adv. Geosci., 45, 35–44, https://doi.org/10.5194/adgeo-45-35-2018,https://doi.org/10.5194/adgeo-45-35-2018, 2018
Short summary
Can Limits to Growth in the Renewable Energy Sector be Inferred by Curve Fitting to Historical Data?
Kristoffer Rypdal
Earth Syst. Dynam. Discuss., https://doi.org/10.5194/esd-2017-93,https://doi.org/10.5194/esd-2017-93, 2017
Revised manuscript not accepted
Short summary
Comment on "Scaling regimes and linear/nonlinear responses of last millennium climate to volcanic and solar forcing" by S. Lovejoy and C. Varotsos (2016)
Kristoffer Rypdal and Martin Rypdal
Earth Syst. Dynam., 7, 597–609, https://doi.org/10.5194/esd-7-597-2016,https://doi.org/10.5194/esd-7-597-2016, 2016
Short summary
Are there multiple scaling regimes in Holocene temperature records?
Tine Nilsen, Kristoffer Rypdal, and Hege-Beate Fredriksen
Earth Syst. Dynam., 7, 419–439, https://doi.org/10.5194/esd-7-419-2016,https://doi.org/10.5194/esd-7-419-2016, 2016
Short summary
Late Quaternary temperature variability described as abrupt transitions on a 1/f noise background
Martin Rypdal and Kristoffer Rypdal
Earth Syst. Dynam., 7, 281–293, https://doi.org/10.5194/esd-7-281-2016,https://doi.org/10.5194/esd-7-281-2016, 2016
Short summary

Related subject area

Dynamics of the Earth system: concepts
Multi-million-year cycles in modelled δ13C as a response to astronomical forcing of organic matter fluxes
Gaëlle Leloup and Didier Paillard
Earth Syst. Dynam., 14, 291–307, https://doi.org/10.5194/esd-14-291-2023,https://doi.org/10.5194/esd-14-291-2023, 2023
Short summary
Reliability of resilience estimation based on multi-instrument time series
Taylor Smith, Ruxandra-Maria Zotta, Chris A. Boulton, Timothy M. Lenton, Wouter Dorigo, and Niklas Boers
Earth Syst. Dynam., 14, 173–183, https://doi.org/10.5194/esd-14-173-2023,https://doi.org/10.5194/esd-14-173-2023, 2023
Short summary
The ExtremeX global climate model experiment: investigating thermodynamic and dynamic processes contributing to weather and climate extremes
Kathrin Wehrli, Fei Luo, Mathias Hauser, Hideo Shiogama, Daisuke Tokuda, Hyungjun Kim, Dim Coumou, Wilhelm May, Philippe Le Sager, Frank Selten, Olivia Martius, Robert Vautard, and Sonia I. Seneviratne
Earth Syst. Dynam., 13, 1167–1196, https://doi.org/10.5194/esd-13-1167-2022,https://doi.org/10.5194/esd-13-1167-2022, 2022
Short summary
ESD Ideas: planetary antifragility: a new dimension in the definition of the safe operating space for humanity
Oliver López-Corona, Melanie Kolb, Elvia Ramírez-Carrillo, and Jon Lovett
Earth Syst. Dynam., 13, 1145–1155, https://doi.org/10.5194/esd-13-1145-2022,https://doi.org/10.5194/esd-13-1145-2022, 2022
Short summary
Glacial runoff buffers droughts through the 21st century
Lizz Ultee, Sloan Coats, and Jonathan Mackay
Earth Syst. Dynam., 13, 935–959, https://doi.org/10.5194/esd-13-935-2022,https://doi.org/10.5194/esd-13-935-2022, 2022
Short summary

Cited articles

Blender, R. and Fraedrich, K.: Long time memory in global warming simulations, Geophys. Res. Lett., 30, 1769, https://doi.org/10.1029/2003GL017666, 2003.
Brohan, P., Kennedy, J. J., Harris, I., Tett, S. F. B., and Jones, P. D.: Uncertainty estimates in regional and global observed temperature changes: A new data set from 1850, J. Geophys. Res, 111, D12106, https://doi.org/10.1029/2005JD006548, 2006.
Burnham, K. P. and Anderson, D. R.: Multimodel inference: understanding AIC and BIC in model selection, Sociol. Method. Res., 33, 261–304, https://doi.org/10.1177/0049124104268644, 2004.
Camp, C. D. and Tung, K. K.: Surface warming by the solar cycle as revealed by the composite difference projection, Geophys. Res. Lett., 34, L14703, https://doi.org/10.1029/2007GL030207, 2007.
Canty, T., Mascioli, N. R., Smarte, M. D., and Salawitch, R. J.: An empirical model of global climate – Part 1: A critical evaluation of volcanic cooling, Atmos. Chem. Phys., 13, 3997–4031, https://doi.org/10.5194/acp-13-3997-2013, 2013.
Download
Short summary
Human and natural forces drive climate change. If we have a model for the climate response to forcing, we can identify distinct fingerprints for each force, and their footprint in the observed global temperature can be determined by statistical analysis. This process is called attribution. This work examines the effect delays (long-range memory) in the climate response have on the magnitude of the various footprints. The magnitude of the human footprint turns out to be only weakly affected.
Altmetrics
Final-revised paper
Preprint