2018
DOI: 10.1007/s00703-018-0639-9
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The effect of macro-scale circulation types on the length of the growing season in Poland

Abstract: The main objective of the article was to determine the impact of macro-scale circulation types on the beginning and end of the growing season in Poland in 1966-2015. The data concerning average daily air temperature for 30 stations from the period of 1966-2015 were used. Data were obtained from the databases of the Institute of Meteorology and Water Management-National Research Institute. The period with the average daily air temperature ≥ 5 °C was considered to be the growing season. To determine the dates of… Show more

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Cited by 6 publications
(9 citation statements)
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References 43 publications
(52 reference statements)
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“…Their variability and trends are related to four teleconnection patterns: North Atlantic Oscillation (NAO), East Atlantic pattern (EA), Scandinavian pattern (SCA) and East Atlantic/West Russia pattern (EAWR). This is the first study to link these indices to teleconnection patterns from a pan-European gridded dataset as previous studies have looked at specific regions in Europe (Irannezhad and Kløve, 2015;Tomcyzk et al, 2019;Tomczyk and Szyga-Pluta, 2019) or at the ECA&D station data (Cornes et al, 2019).…”
Section: Discussionmentioning
confidence: 99%
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“…Their variability and trends are related to four teleconnection patterns: North Atlantic Oscillation (NAO), East Atlantic pattern (EA), Scandinavian pattern (SCA) and East Atlantic/West Russia pattern (EAWR). This is the first study to link these indices to teleconnection patterns from a pan-European gridded dataset as previous studies have looked at specific regions in Europe (Irannezhad and Kløve, 2015;Tomcyzk et al, 2019;Tomczyk and Szyga-Pluta, 2019) or at the ECA&D station data (Cornes et al, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…There have also been several studies applying growing season precipitation and mean growing season temperature to viticulture (wine production) in parts of Europe: the Iberian Peninsula (Blanco-Ward et al, 2007;Ramos et al, 2008;Santos et al, 2012;Moral et al, 2015;Blanco-Ward et al, 2017;Blanco-Ward et al, 2019), France (Neethling et al, 2012), England (Nesbitt et al, 2016) and Hungary (Kovacs et al, 2017). Only Santos et al (2012), Irannezhad and Kløve (2015) and Tomcyzk et al (2019) have linked the growing season indices to teleconnection patterns, although Cornes et al (2019) linked the growing season onset and end to circulation patterns with the European Climate Assessment & Dataset (ECA&D) blended station data for all of Europe.…”
Section: Introductionmentioning
confidence: 99%
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“…In the further east, the more cases of autumn frost were recorded. Spring frost poses a greater threat in the western part of the study area, where the frost-free and vegetation period begins earlier (Tomczyk et al 2015;Wypych et al 2017;Bielec-Bąkowska et al 2018;Tomczyk et al 2018a) and the difference in the commencement of the periods between the eastern and western regions of Central Europe can be even more than a month. According to Wypych et al (2017), such a spatial variability in Central Europe results from circulation factors.…”
Section: Discussion and Summarymentioning
confidence: 97%
“…The correlation was performed between cumulative precipitation sums 5, 10, 15, and 30 days before the measurement day (from D ąbrówka Stara meteorological station) and the difference between the concentration of certain biogenic compounds between the two measurement days for all sampling sites. Such a procedure was applied throughout the whole investigated period, as well as only during the growing period, in which Central Poland lasts from April to November [64]. Due to the lack of other meteorological stations, even in close proximity to the studied catchment, it was assumed that the precipitation sum from the D ąbrówka Stara meteorological station is representative of all sampling sites.…”
Section: Methodsmentioning
confidence: 99%