Assessing the solar variability signature in climate variables by information theory and wavelet coherence

Abstract 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 1948–200...

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Autores principales:	Ileana Mares, Venera Dobrica, Constantin Mares, Crisan Demetrescu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/bd3aaca98faa45c1bb3931a9131172b3
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spelling	oai:doaj.org-article:bd3aaca98faa45c1bb3931a9131172b32021-12-02T15:03:13ZAssessing the solar variability signature in climate variables by information theory and wavelet coherence10.1038/s41598-021-90044-62045-2322https://doaj.org/article/bd3aaca98faa45c1bb3931a9131172b32021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90044-6https://doaj.org/toc/2045-2322Abstract 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.Ileana MaresVenera DobricaConstantin MaresCrisan DemetrescuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ileana Mares Venera Dobrica Constantin Mares Crisan Demetrescu Assessing the solar variability signature in climate variables by information theory and wavelet coherence
description	Abstract 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	article
author	Ileana Mares Venera Dobrica Constantin Mares Crisan Demetrescu
author_facet	Ileana Mares Venera Dobrica Constantin Mares Crisan Demetrescu
author_sort	Ileana Mares
title	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_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_sort	assessing the solar variability signature in climate variables by information theory and wavelet coherence
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/bd3aaca98faa45c1bb3931a9131172b3
work_keys_str_mv	AT ileanamares assessingthesolarvariabilitysignatureinclimatevariablesbyinformationtheoryandwaveletcoherence AT veneradobrica assessingthesolarvariabilitysignatureinclimatevariablesbyinformationtheoryandwaveletcoherence AT constantinmares assessingthesolarvariabilitysignatureinclimatevariablesbyinformationtheoryandwaveletcoherence AT crisandemetrescu assessingthesolarvariabilitysignatureinclimatevariablesbyinformationtheoryandwaveletcoherence
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Assessing the solar variability signature in climate variables by information theory and wavelet coherence

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