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Impact of Teleconnection Patterns on the Thermal Growing Season in Central and Northern Europe Cover

Impact of Teleconnection Patterns on the Thermal Growing Season in Central and Northern Europe

Open Access
|May 2026

Figures & Tables

Fig. 1.

Study area.

Fig. 2.

Average start (A) and end date (B) of thermal growing season (TGS) in the years 1950–2022.

Fig. 3.

The course of the average values of the indices of the analysed teleconnection patterns from January to April and from September to December.

Fig. 4.

Correlation coefficient of the date of the beginning of the thermal growing season with the seasonal average: East Atlantic(A), North Atlantic Oscillation (B), Scandinavia (C), and East Atlantic/Western Russia (D) indices (red dots indicate statistically significant changes (p < 0.05)).

Fig. 5.

Deviation from the average start date of the thermal growing season in seasons with East Atlantic (A), North Atlantic Oscillation (B), Scandinavia (C), and East Atlantic/Western Russia (D) index values below the 25th percentile.

Fig. 6.

Deviation from the average date of the beginning of the thermal growing season in seasons with index values of East Atlantic (A), North Atlantic Oscillation (B), Scandinavia (C), and East Atlantic/Western Russia (D) above the 75th percentile.

Fig. 7.

Correlation coefficient of the date of the end of the thermal growing season (TGS) with the seasonal mean East Atlantic (A), North Atlantic Oscillation (B), Scandinavia (C) and East Atlantic/Western Russia (D) indices (red dots indicate statistically significant changes (p < 0.05)).

Fig. 8.

Deviation from the average date of the end of the thermal growing season in seasons with East Atlantic (A), North Atlantic Oscillation (B), Scandinavia (C), and East Atlantic/Western Russia (D) index values below the 25th percentile.

Fig. 9.

Deviation from the average date of the end of the thermal growing season in seasons with index values of East Atlantic (A), North Atlantic Oscillation (B), Scandinavia (C), and East Atlantic/Western Russia (D) above the 75th percentile.

Summary of correlations between circulation indices and the end of the TGS (C – Central, E – East, N – North, S – South, W – West)_

IndexThe lowest value of the correlation coefficientThe highest value of the correlation coefficientMean correlation% of area with statistically significant correlation (p < 0.05)Dominant sign of correlationMain regions of strongest correlation
East Atlantic–0.660.65~0.0033Mixed+N Scandinavia, N Germany; –Estonia, C Finland
North Atlantic Oscillation–0.340.490.026Mainly positive (weak)+Denmark, N Germany, S Sweden; –Belarus, NE Europe
Scandinavia–0.430.400.0314Mainly negative+Hungary, Denmark, C Germany; –Finland, N Russia
East Atlantic/Western Russia–0.540.45~0.0013 +C Poland, NE Europe; –N Norway, W part of study area

Summary of correlations between circulation indices and the start of the thermal growing season (C – Central, E – East, N – North, S – South, W – West)_

IndexLowest value of correlation coefficientsThe highest value of the correlation coefficientsMean correlation% of area with statistically significant correlation (p < 0.05)Dominant sign of correlationMain regions of strongest correlation
East Atlantic–0.540.550.0331Mixed+C Sweden, N Russia; –Denmark, N Germany
North Atlantic Oscillation–0.640.60~0.0040Negative+C Sweden; –W part of the study area, Norway
Scandinavia–0.500.48~0.0023Positive+W part of the study area, N Scandinavia; –Finland, Russia
East Atlantic/Western Russia–0.370.42~0.005Weak/mixed+C Finland; –N Norway
DOI: https://doi.org/10.14746/quageo-2026-0012 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103
Language: English
Submitted on: Jun 23, 2025
Published on: May 4, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Related subjects:

© 2026 Filip Miś, Arkadiusz M. Tomczyk, published by Adam Mickiewicz University
This work is licensed under the Creative Commons Attribution 4.0 License.

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