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The dependency between annual air temperature and solar activity. A case study of Warsaw in 1951–2010.

The dependency between annual air temperature and solar activity. A case study of Warsaw in... AbstractThe paper demonstrates a dependency between the annual average daily air temperature course (cycle) in Warsaw and the profile of annual solar activity linked to rotation (with a period of 25–31 days). Waves of cold (ΔT <0) or heat (ΔT ≥ 0) were defined as ΔT deviations of daily average temperature (T) using a regression sinusoid f (t) with a period of 365 days. Cold waves were found to generally occur at times of low daily average solar activity (relative to 60-year average), while hot waves tended to coincide with high Wolf numbers. The cycles of the variables were derived using the sinusoid regression method (Boryczka 1998). The maximum sinusoid regression of the annual air-temperature cycle T is delayed by nearly one month vis-à-vis the maximum declination of the Sun. The maximum of the regression sinusoid of daily average Wolf numbers (W) was delayed from the maximum declination by more than two months. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Miscellanea Geographica de Gruyter

The dependency between annual air temperature and solar activity. A case study of Warsaw in 1951–2010.

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Publisher
de Gruyter
Copyright
© 2017 Jerzy Boryczka et al., published by De Gruyter Open
ISSN
2084-6118
eISSN
2084-6118
DOI
10.1515/mgrsd-2017-0018
Publisher site
See Article on Publisher Site

Abstract

AbstractThe paper demonstrates a dependency between the annual average daily air temperature course (cycle) in Warsaw and the profile of annual solar activity linked to rotation (with a period of 25–31 days). Waves of cold (ΔT <0) or heat (ΔT ≥ 0) were defined as ΔT deviations of daily average temperature (T) using a regression sinusoid f (t) with a period of 365 days. Cold waves were found to generally occur at times of low daily average solar activity (relative to 60-year average), while hot waves tended to coincide with high Wolf numbers. The cycles of the variables were derived using the sinusoid regression method (Boryczka 1998). The maximum sinusoid regression of the annual air-temperature cycle T is delayed by nearly one month vis-à-vis the maximum declination of the Sun. The maximum of the regression sinusoid of daily average Wolf numbers (W) was delayed from the maximum declination by more than two months.

Journal

Miscellanea Geographicade Gruyter

Published: Sep 1, 2017

References