Maximum temperatures over Slovenia and their relationship with atmospheric circulation patterns

Abstract

This paper examines temporal and spatial patterns of annual and seasonal maximum temperatures (Tmax) in Slovenia and their relationship with atmospheric circulation patterns. A significant increase in maximum temperature (Tmax; from 0.3°C to 0.5°C·decade-1) was observed throughout the country at the annual scale in the period 1963–2014. Significant positive trends are observed on all stations in summer (from 0.4°C to 0.7°C·decade-1) and spring (from 0.4°C to 0.6°C·decade-1). The results indicate significant correlations between the mean annual maximum temperature (Tmax) and the East Atlantic Oscillation (EA) (from 0.5 to 0.7), the Arctic Oscillation (AO) (from 0.4 to 0.7) and the Scandinavian Oscillation (SCAND) (from −0.3 to −0.4) throughout the country. A significant EA influence is observed in all seasons, while the AO influence is noticed in winter and spring, SCAND in spring and summer, the North Atlantic Oscillation (NAO) and the Mediterranean Oscillation (MO) in winter, the East Atlantic/Western Russia Oscillation (EA/WR) in summer and the El Nino Southern Oscillation (ENSO) in autumn.

Changes in extreme temperature indices over the Peripannonian region of Bosnia and Herzegovina

“…Significant positive correlations in winter were determined for both Tmax and Tmin, as well as for minimum values of Tmax and Tmin (similar was determined for the AO in spring season). A positive phase of the AO leads to increasing temperatures due to the reinforcement of westerly winds that bring warmth towards Europe (Milošević et al 2017). ese findings are in accordance with the results of Ruml et al (2017) and Unkašević and Tošić (2013) obtained for Serbia, which also determined that annual extreme temperature indices were much more strongly correlated with the EA than with the NAO pattern (or the EA/WR pattern).…”

Long-term temperature fluctuations in rivers of the Fore-Sudetic region in Poland

“…e implementation of protection tasks should involve not only the reduction of supply of pollutants, but also the reduction of the effect of climate changes on an increase in water temperature in rivers, and as a consequence on the worsening of unfavourable physical and chemical water parameters. In the context of the observed climate warming (Wrzesiński et al 2015, Kolář, 2017, Milošević et al 2017, Tomczyk 2017, it is important to develop solutions for a reduction of their negative effect. Measures with a global range are optimal, e.g.…”

Reply on RC1, CC1, RC2

“…The SLOCLIM database opens up many possibilities for applications in areas which need data with high spatial and temporal analyses and projections (Dolinar et al, 2018;de Luis et al, 2014;Milošević et al, 2017), as well as reconstruction of past climate and extreme events based on tree-ring parameters (Cook et al, 2015;Čufar et al, 2008;Hafner et al, 2014). Research where climate data are needed also includes that focused on the effects of climate change on the well-being and health of population (Ciuha et al, 2019;Pogačar et al, 2019Pogačar et al, , 2020, as well as agroclimatic shifts and the food supply (Ceglar et al, 2012(Ceglar et al, , 2019a(Ceglar et al, , 2019b.…”