Statistical associations of teleconnection indices and space weather with spring weather pattern in the Eastern Baltic region
The studies of associations between solar inputs and climate are mostly designed for winter or cold period; whereas the knowledge about these associations during spring on a day‐to‐day time scale are very scarce. Therefore, the aim of this study is to detect the response of spring air temperature (T...
Published in: | International Journal of Climatology |
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Language: | English |
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2021
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Online Access: | https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/joc.6901 https://doi.org/10.1002/joc.6901 |
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ftvytmagnusuniv:oai:portalcris.vdu.lt:20.500.12259/126899 2023-05-15T15:18:09+02:00 Statistical associations of teleconnection indices and space weather with spring weather pattern in the Eastern Baltic region Venclovienė, Jonė Kacienė, Giedrė Kiznys, Deivydas Juknys, Romualdas US 2021 p. 1-15 text/xml https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/joc.6901 https://doi.org/10.1002/joc.6901 en eng International journal of climatology. Hoboken: Wiley, 2021, vol. 41, iss. 2 Science Citation Index Expanded (Web of Science) 08998418 VDU02-000065480 https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/joc.6901 https://doi.org/10.1002/joc.6901 WOS:000587462000001 Teleconnection indices Spring weather Space weather events Estern Baltic region Multivariate regression Solar wind Aplinkos inžinerija / Environmental engineering (T004) Straipsnis Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or / and Scopus (S1) 2021 ftvytmagnusuniv https://doi.org/10.1002/joc.6901 2021-02-02T00:43:48Z The studies of associations between solar inputs and climate are mostly designed for winter or cold period; whereas the knowledge about these associations during spring on a day‐to‐day time scale are very scarce. Therefore, the aim of this study is to detect the response of spring air temperature (T), relative humidity (RH), and atmospheric pressure (ATP) to variation in teleconnection indices and space weather variables on the day‐to‐day timescale during the period of 1998–2017 in six cities of Eastern part of the Baltic region. We created a multivariate linear regression model for weather variables including month, the linear and seasonal trend, different teleconnection patterns, El Niño–Southern Oscillation, the Quasi‐biennial Oscillation phase, the presence of Sudden Stratospheric Warming (SSW) and space weather variables. The multivariate models for the mean daily weather variables showed a positive association between T and the daily Arctic oscillation, monthly Scandinavian pattern (SCA) indices, solar proton events (SPEs) with a lag of 1–9 days, and solar wind dynamic pressure (P) with a lag of 1–2 days and negative association between T and East Atlantic/West Russia (EA/WR) index. The mean RH positively correlated with a long‐term and short‐term variation in galactic cosmic rays (GCR) and solar wind speed (SWS) with a lag of 0–6 days and negatively correlated with EAWR and NINO3.4 indices. The mean ATP was negatively associated with both long‐term and short‐term changes in GCR and positively associated with the North Atlantic oscillation, EA/WR and SCA indices, By component of interplanetary magnetic field with a lag of 2 days, P, days of Stream Interaction Regions (SIRs) and SWS with a lag of 4–6 days. These results show the significant short‐term effects of SSW, SPEs, SIRs and solar wind variables on spring weather pattern in the Eastern part of the Baltic region Aplinkos tyrimų centras Aplinkotyros katedra Vytauto Didžiojo universitetas Other/Unknown Material Arctic North Atlantic North Atlantic oscillation Vytautas Magnus University e-Publication Repository (VMU ePub) Arctic International Journal of Climatology 41 S1 |
institution |
Open Polar |
collection |
Vytautas Magnus University e-Publication Repository (VMU ePub) |
op_collection_id |
ftvytmagnusuniv |
language |
English |
topic |
Teleconnection indices Spring weather Space weather events Estern Baltic region Multivariate regression Solar wind Aplinkos inžinerija / Environmental engineering (T004) |
spellingShingle |
Teleconnection indices Spring weather Space weather events Estern Baltic region Multivariate regression Solar wind Aplinkos inžinerija / Environmental engineering (T004) Venclovienė, Jonė Kacienė, Giedrė Kiznys, Deivydas Juknys, Romualdas Statistical associations of teleconnection indices and space weather with spring weather pattern in the Eastern Baltic region |
topic_facet |
Teleconnection indices Spring weather Space weather events Estern Baltic region Multivariate regression Solar wind Aplinkos inžinerija / Environmental engineering (T004) |
description |
The studies of associations between solar inputs and climate are mostly designed for winter or cold period; whereas the knowledge about these associations during spring on a day‐to‐day time scale are very scarce. Therefore, the aim of this study is to detect the response of spring air temperature (T), relative humidity (RH), and atmospheric pressure (ATP) to variation in teleconnection indices and space weather variables on the day‐to‐day timescale during the period of 1998–2017 in six cities of Eastern part of the Baltic region. We created a multivariate linear regression model for weather variables including month, the linear and seasonal trend, different teleconnection patterns, El Niño–Southern Oscillation, the Quasi‐biennial Oscillation phase, the presence of Sudden Stratospheric Warming (SSW) and space weather variables. The multivariate models for the mean daily weather variables showed a positive association between T and the daily Arctic oscillation, monthly Scandinavian pattern (SCA) indices, solar proton events (SPEs) with a lag of 1–9 days, and solar wind dynamic pressure (P) with a lag of 1–2 days and negative association between T and East Atlantic/West Russia (EA/WR) index. The mean RH positively correlated with a long‐term and short‐term variation in galactic cosmic rays (GCR) and solar wind speed (SWS) with a lag of 0–6 days and negatively correlated with EAWR and NINO3.4 indices. The mean ATP was negatively associated with both long‐term and short‐term changes in GCR and positively associated with the North Atlantic oscillation, EA/WR and SCA indices, By component of interplanetary magnetic field with a lag of 2 days, P, days of Stream Interaction Regions (SIRs) and SWS with a lag of 4–6 days. These results show the significant short‐term effects of SSW, SPEs, SIRs and solar wind variables on spring weather pattern in the Eastern part of the Baltic region Aplinkos tyrimų centras Aplinkotyros katedra Vytauto Didžiojo universitetas |
format |
Other/Unknown Material |
author |
Venclovienė, Jonė Kacienė, Giedrė Kiznys, Deivydas Juknys, Romualdas |
author_facet |
Venclovienė, Jonė Kacienė, Giedrė Kiznys, Deivydas Juknys, Romualdas |
author_sort |
Venclovienė, Jonė |
title |
Statistical associations of teleconnection indices and space weather with spring weather pattern in the Eastern Baltic region |
title_short |
Statistical associations of teleconnection indices and space weather with spring weather pattern in the Eastern Baltic region |
title_full |
Statistical associations of teleconnection indices and space weather with spring weather pattern in the Eastern Baltic region |
title_fullStr |
Statistical associations of teleconnection indices and space weather with spring weather pattern in the Eastern Baltic region |
title_full_unstemmed |
Statistical associations of teleconnection indices and space weather with spring weather pattern in the Eastern Baltic region |
title_sort |
statistical associations of teleconnection indices and space weather with spring weather pattern in the eastern baltic region |
publishDate |
2021 |
url |
https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/joc.6901 https://doi.org/10.1002/joc.6901 |
op_coverage |
US |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic North Atlantic North Atlantic oscillation |
genre_facet |
Arctic North Atlantic North Atlantic oscillation |
op_relation |
International journal of climatology. Hoboken: Wiley, 2021, vol. 41, iss. 2 Science Citation Index Expanded (Web of Science) 08998418 VDU02-000065480 https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/joc.6901 https://doi.org/10.1002/joc.6901 WOS:000587462000001 |
op_doi |
https://doi.org/10.1002/joc.6901 |
container_title |
International Journal of Climatology |
container_volume |
41 |
container_issue |
S1 |
_version_ |
1766348384514342912 |