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Assessing the solar variability signature in climate variables by information theory and wavelet coherence
The present study aims to investigate the possible influence of solar/geomagnetic forcing on climate variables, such as the drought index, Danube discharge and large-scale atmospheric indices. Our analysis was performed separately for each season for two time periods, 1901–2000 and 1948–2000. The re...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8167174/ https://www.ncbi.nlm.nih.gov/pubmed/34059693 http://dx.doi.org/10.1038/s41598-021-90044-6 |
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author | Mares, Ileana Dobrica, Venera Mares, Constantin Demetrescu, Crisan |
author_facet | Mares, Ileana Dobrica, Venera Mares, Constantin Demetrescu, Crisan |
author_sort | Mares, Ileana |
collection | PubMed |
description | The present study aims to investigate the possible influence of solar/geomagnetic forcing on climate variables, such as the drought index, Danube discharge and large-scale atmospheric indices. Our analysis was performed separately for each season for two time periods, 1901–2000 and 1948–2000. The relationship between terrestrial variables and external indices was established based on the application of (1) information theory elements, namely, synergy, redundancy, total correlation, transfer entropy and (2) wavelet coherence analysis. Bandpass filtering has also been applied. The most significant signature of the solar/geomagnetic forcing in the climate variables was obtained for the data smoothed by the bandpass filter. According to our results, significant solar/geomagnetic forcing appears in the terrestrial variables with a delay of 2–3 years. |
format | Online Article Text |
id | pubmed-8167174 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81671742021-06-02 Assessing the solar variability signature in climate variables by information theory and wavelet coherence Mares, Ileana Dobrica, Venera Mares, Constantin Demetrescu, Crisan Sci Rep Article The present study aims to investigate the possible influence of solar/geomagnetic forcing on climate variables, such as the drought index, Danube discharge and large-scale atmospheric indices. Our analysis was performed separately for each season for two time periods, 1901–2000 and 1948–2000. The relationship between terrestrial variables and external indices was established based on the application of (1) information theory elements, namely, synergy, redundancy, total correlation, transfer entropy and (2) wavelet coherence analysis. Bandpass filtering has also been applied. The most significant signature of the solar/geomagnetic forcing in the climate variables was obtained for the data smoothed by the bandpass filter. According to our results, significant solar/geomagnetic forcing appears in the terrestrial variables with a delay of 2–3 years. Nature Publishing Group UK 2021-05-31 /pmc/articles/PMC8167174/ /pubmed/34059693 http://dx.doi.org/10.1038/s41598-021-90044-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Mares, Ileana Dobrica, Venera Mares, Constantin Demetrescu, Crisan Assessing the solar variability signature in climate variables by information theory and wavelet coherence |
title | Assessing the solar variability signature in climate variables by information theory and wavelet coherence |
title_full | Assessing the solar variability signature in climate variables by information theory and wavelet coherence |
title_fullStr | Assessing the solar variability signature in climate variables by information theory and wavelet coherence |
title_full_unstemmed | Assessing the solar variability signature in climate variables by information theory and wavelet coherence |
title_short | Assessing the solar variability signature in climate variables by information theory and wavelet coherence |
title_sort | assessing the solar variability signature in climate variables by information theory and wavelet coherence |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8167174/ https://www.ncbi.nlm.nih.gov/pubmed/34059693 http://dx.doi.org/10.1038/s41598-021-90044-6 |
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