On Time Scales of Intrinsic Oscillations in the Climate System
First published: 2021
Brief summary
Uses Slow Feature Analysis on global proxy temperature records to identify intrinsic oscillations from ~60 to ~1000 years, separated by a gap from Milankovitch-scale (20,000+ year) forcing.
Article
On Time Scales of Intrinsic Oscillations in the Climate System is a peer-reviewed journal article published by Entropy (MDPI) via PMC in 2021. It uses Slow Feature Analysis on global proxy temperature records to identify intrinsic oscillations from ~60 to ~1000 years, separated by a gap from Milankovitch-scale (20,000+ year) forcing.
The analysis focuses on 60-1000 years (intrinsic), gap 1000-20,000 yr, then 20,000-100,000 yr (external/Milankovitch). It also considers power spectrum P vs log(T) graph described. This gives the cycle claim a specific numerical and evidential setting rather than presenting periodicity only as a visual impression.
Proxy temperature data records are analysed using Slow Feature Analysis. the authors report intrinsic climatic oscillations with periods ranging from ~60 years to ~1000 years, separated by a gap from longer Milankovitch-forced periodicities. The interpretation is strongest when it survives proxy uncertainty, model choice, dating error and comparison with established solar, orbital and ocean-atmosphere forcing.
For cycles researchers, the article brings together climate timescales, intrinsic oscillations, slow feature analysis, proxy temperatures. It is relevant to climate-cycle research because observed periodicities may arise from orbital forcing, solar variability, ocean-atmosphere dynamics or internal stochastic behaviour.
Because it is a peer-reviewed journal article, the article is a strong starting point for discussion in the Climate & Weather forum, although its conclusions should still be compared with later replications and updated datasets.
Source details and credits
- Source / publisher: Entropy (MDPI) via PMC
- Source type: Peer-reviewed journal article
- URL type: WWW
- Credits: Entropy (MDPI) via PMC
- URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8070030/