Аннотация
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.
Язык оригинала | Английский |
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Номер статьи | 012003 |
Журнал | IOP Conference Series: Earth and Environmental Science |
Том | 211 |
Номер выпуска | 1 |
DOI | |
Состояние | Опубликовано - 17 дек 2018 |
Событие | International Conference and Early Career Scientists School on Environmental Observations, Modeling and Information Systems, ENVIROMIS 2018 - Tomsk, Российская Федерация Продолжительность: 5 июл 2018 → 11 июл 2018 |
ASJC Scopus subject areas
- Environmental Science(all)
- Earth and Planetary Sciences(all)