Abstract
Eigen analysis has been a powerful tool to distinguish multiple processes into different simple principal modes in complex systems. For a non-equilibrium system, the principal modes corresponding to the non-equilibrium processes are usually evolving with time. Here, we apply the eigen analysis into the complex climate systems. In particular, based on the daily surface air temperature in the tropics (30◦ S–30◦ N, 0◦ E–360◦ E) between 1979-01-01 and 2016-12-31, we uncover that the strength of two dominated intra-annual principal modes represented by the eigenvalues significantly changes with the El Niño/southern oscillation from year to year. Specifically, according to the ‘regional correlation’ introduced for the first intra-annual principal mode, we find that a sharp positive peak of the correlation between the El Niño region and the northern (southern) hemisphere usually signals the beginning (end) of the El Niño. We discuss the underlying physical mechanism and suppose that the evolution of the first intra-annual principal mode is related to the meridional circulations; the evolution of the second intra-annual principal mode responds positively to the Walker circulation. Our framework presented here not only facilitates the understanding of climate systems but also can potentially be used to study the dynamical evolution of other natural or engineering complex systems.
Original language | English |
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Article number | 093077 |
Journal | New Journal of Physics |
Volume | 22 |
Issue number | 9 |
DOIs | |
State | Published - Sep 2020 |
Bibliographical note
Publisher Copyright:© 2020 The Author(s).
Funding
Original content from this work may be used under the terms of the . Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. National Natural Science Foundation of China https://doi.org/10.13039/501100001809 61573173 yes � 2020 The Author(s). Published by IOP Publishing Ltd on behalf of the Institute of Physics and Deutsche Physikalische Gesellschaft Creative Commons Attribution 4.0 licence We are grateful to the financial support by the National Natural Science Foundation of China (Grant Nos. 61573173 and 72001213) and Key Research Program of Frontier Sciences, CAS (Grant No. QYZD-SSW-SYS019). Yongwen Zhang thanks the postdoctoral fellowship program funded by the Kunming University of Science and Technology. JF acknowledges the ?East Africa Peru India Climate Capacities?EPICC? project, which is part of the International Climate Initiative (IKI). The Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (BMU) supports this initiative on the basis of a decision adopted by the German Bundestag. We also acknowledge the computational resources provided by HPC Cluster of ITP-CAS.
Funders | Funder number |
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ITP-CAS | |
Key Research Program of Frontier Sciences, CAS | QYZD-SSW-SYS019 |
National Natural Science Foundation of China | 72001213, 61573173 |
Analysis and Testing Foundation of Kunming University of Science and Technology | |
Bundesministerium für Umwelt, Naturschutz und Reaktorsicherheit |
Keywords
- Climate
- Eigen analysis
- El Niño
- Non-equilibrium system