Abstract
Based on an analytic signal theory, the authors have developed an iterative algorithm for climate clustering using a temperature oscillation analysis. Surface temperature is selected as an integrated climate change indicator. Temperature series are studied as modulated signals. The algorithm enables signal grouping on various spatio-temporal scales using the available information on the synchronicity of envelopes of the signals.
| Original language | English |
|---|---|
| Article number | 012003 |
| Journal | IOP Conference Series: Earth and Environmental Science |
| Volume | 211 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 17 Dec 2018 |
| Event | International Conference and Early Career Scientists School on Environmental Observations, Modeling and Information Systems, ENVIROMIS 2018 - Tomsk, Russian Federation Duration: 5 Jul 2018 → 11 Jul 2018 |
ASJC Scopus subject areas
- Environmental Science(all)
- Earth and Planetary Sciences(all)
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Volkov, Y. V., Tartakovsky, V. A., Cheredko, N. N., Maximov, V. G., Kabanov, M. M., & Kapustin, S. N. (2018). Climate classification in the Northern Hemisphere using envelopes of temperature signals. IOP Conference Series: Earth and Environmental Science, 211(1), [012003]. https://doi.org/10.1088/1755-1315/211/1/012003