Solar Signature in Climate Indices

The influence of solar/geomagnetic activity on climate variables still remains a fully unclarified problem, although many scientific efforts have been made to better understand it. In order to bring more information to this open problem, in the present study, we analyze the connection between solar/...

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Published in:Atmosphere
Main Authors: Constantin Mares, Venera Dobrica, Ileana Mares, Crisan Demetrescu
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2022
Subjects:
Soi
Online Access:https://doi.org/10.3390/atmos13111898
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spelling ftmdpi:oai:mdpi.com:/2073-4433/13/11/1898/ 2023-08-20T04:04:48+02:00 Solar Signature in Climate Indices Constantin Mares Venera Dobrica Ileana Mares Crisan Demetrescu agris 2022-11-13 application/pdf https://doi.org/10.3390/atmos13111898 EN eng Multidisciplinary Digital Publishing Institute Climatology https://dx.doi.org/10.3390/atmos13111898 https://creativecommons.org/licenses/by/4.0/ Atmosphere; Volume 13; Issue 11; Pages: 1898 solar variability non-linear relationships synergy-redundancy wavelet analysis Text 2022 ftmdpi https://doi.org/10.3390/atmos13111898 2023-08-01T07:19:38Z The influence of solar/geomagnetic activity on climate variables still remains a fully unclarified problem, although many scientific efforts have been made to better understand it. In order to bring more information to this open problem, in the present study, we analyze the connection between solar/geomagnetic activity (predictors) and climate variables (predictands) by applying elements from information theory and wavelet transform analysis. The solar activity was highlighted by the Wolf number and geomagnetic activity was quantified by the aa index. For the climate variables, we considered seven Climate Indices (CIs) that influence atmospheric circulation on regional or global scales, such as the Greenland-Balkan Oscillation Index (GBOI), North Atlantic Oscillation Index (NAOI), Arctic Oscillation (AO), Atlantic Multidecadal Oscillation (AMO), Southern Oscillation Index (SOI), Bivariate ENSO Timeseries (BEST) and Trans-Niño Index (TNI). By using the difference between synergy and redundancy, a few cases were found where the two predictors can be considered together for CIs’ estimation. Coherence analysis through the wavelet transform for three variables, both through multiple and partial analysis, provides the time intervals and bands of periods, where the two considered predictors can be used together or separately. The results differ depending on the predictand, the season and the considered lags. Significant information is brought out by using the two predictors together, namely the summer season, for GBOI and NAOI, when the predictors were taken 2 years before, and the winter season, as AMO responds to the variations of both solar and geomagnetic activity after 4 years. Text Arctic Greenland North Atlantic North Atlantic oscillation MDPI Open Access Publishing Arctic Greenland Soi ENVELOPE(30.704,30.704,66.481,66.481) Atmosphere 13 11 1898
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic solar variability
non-linear relationships
synergy-redundancy
wavelet analysis
spellingShingle solar variability
non-linear relationships
synergy-redundancy
wavelet analysis
Constantin Mares
Venera Dobrica
Ileana Mares
Crisan Demetrescu
Solar Signature in Climate Indices
topic_facet solar variability
non-linear relationships
synergy-redundancy
wavelet analysis
description The influence of solar/geomagnetic activity on climate variables still remains a fully unclarified problem, although many scientific efforts have been made to better understand it. In order to bring more information to this open problem, in the present study, we analyze the connection between solar/geomagnetic activity (predictors) and climate variables (predictands) by applying elements from information theory and wavelet transform analysis. The solar activity was highlighted by the Wolf number and geomagnetic activity was quantified by the aa index. For the climate variables, we considered seven Climate Indices (CIs) that influence atmospheric circulation on regional or global scales, such as the Greenland-Balkan Oscillation Index (GBOI), North Atlantic Oscillation Index (NAOI), Arctic Oscillation (AO), Atlantic Multidecadal Oscillation (AMO), Southern Oscillation Index (SOI), Bivariate ENSO Timeseries (BEST) and Trans-Niño Index (TNI). By using the difference between synergy and redundancy, a few cases were found where the two predictors can be considered together for CIs’ estimation. Coherence analysis through the wavelet transform for three variables, both through multiple and partial analysis, provides the time intervals and bands of periods, where the two considered predictors can be used together or separately. The results differ depending on the predictand, the season and the considered lags. Significant information is brought out by using the two predictors together, namely the summer season, for GBOI and NAOI, when the predictors were taken 2 years before, and the winter season, as AMO responds to the variations of both solar and geomagnetic activity after 4 years.
format Text
author Constantin Mares
Venera Dobrica
Ileana Mares
Crisan Demetrescu
author_facet Constantin Mares
Venera Dobrica
Ileana Mares
Crisan Demetrescu
author_sort Constantin Mares
title Solar Signature in Climate Indices
title_short Solar Signature in Climate Indices
title_full Solar Signature in Climate Indices
title_fullStr Solar Signature in Climate Indices
title_full_unstemmed Solar Signature in Climate Indices
title_sort solar signature in climate indices
publisher Multidisciplinary Digital Publishing Institute
publishDate 2022
url https://doi.org/10.3390/atmos13111898
op_coverage agris
long_lat ENVELOPE(30.704,30.704,66.481,66.481)
geographic Arctic
Greenland
Soi
geographic_facet Arctic
Greenland
Soi
genre Arctic
Greenland
North Atlantic
North Atlantic oscillation
genre_facet Arctic
Greenland
North Atlantic
North Atlantic oscillation
op_source Atmosphere; Volume 13; Issue 11; Pages: 1898
op_relation Climatology
https://dx.doi.org/10.3390/atmos13111898
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/atmos13111898
container_title Atmosphere
container_volume 13
container_issue 11
container_start_page 1898
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