Preprints
https://doi.org/10.5194/egusphere-2026-4087
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/egusphere-2026-4087
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Status: this preprint is open for discussion and under review for Nonlinear Processes in Geophysics (NPG).
Climate Modus Operandi
Abstract. This overview paper is a culmination of decades of research into climate, chaos, and nonlinear dynamics. It is a voyage of work done since the early 1980s in nonlinear dynamics in climate. As an expected extension, in 2004 networks introduced into atmospheric sciences (Tsonis and Roebber, 2004). Ever since, it is realized that at longer time and space scales climate operates with its major modes interacting with each other, and that rules and randomness co-exist. Here we present an overview of what we have learned so far.
How to cite. Tsonis, A. A. and Wang, G.: Climate Modus Operandi, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2026-4087, 2026.
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
Download & links
Download & links
- Preprint
(749 KB) - Metadata XML
- BibTeX
- EndNote
Status: open (until 26 Oct 2026)
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
Viewed
Total article views: 111 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 31 Aug 2026)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 75 | 23 | 13 | 111 | 17 | 9 |
- HTML: 75
- PDF: 23
- XML: 13
- Total: 111
- BibTeX: 17
- EndNote: 9
Viewed (geographical distribution)
Total article views: 111 (including HTML, PDF, and XML)
Thereof 111 with geography defined
and 0 with unknown origin.
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Latest update: 05 Sep 2026
Anastasios A. Tsonis
CORRESPONDING AUTHOR
Department of Mathematical Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA
Geli Wang
Laboratory of Middle Atmosphere and Global Environment Observation (LAGEO), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Short summary
Imagine that you would like to have a general idea of your health. What do you think your doctor does? They would not test how every little cell is doing. They will take samples of your blood and urine (and maybe others) and performs tests that would give indications of what is the state of your major body parts (heart, liver, kidneys, etc.). When we talk about climate, we basically do the same thing. We test for dynamics by using network theory and major modes of the climate system.
Imagine that you would like to have a general idea of your health. What do you think your doctor...