Abstract
An abstract is a brief of the paper; the abstract should not contain references, the text of the abstract section should be in 12 point normal Times New Roman. Temperature variability was investigated for the near surface air temperature time series measured at Sporilov station (Prague, the Czech Republic) between 2003–2016. The interpretation of the Sporilov daily air temperature averages was completed with the results of the long-term observation at the Prague Klementinum station (daily averages, daily maximum and daily minimum temperatures). Variability was detected by the method of absolute difference of temperature anomalies between two adjacent discrete time periods. The results demonstrated increasing warming trends for all investigated temperature time series and a general reduction of the diurnal temperature range. The range of temperature oscillations reduces also on the annual scale. The temperature variability has shown general decline, however the velocity of the detected variability decreasing trend is significantly minor in comparison with the previously investigated period 1994–2001. The analysis also revealed that the occurrence of both hottest and coldest extremes have been increasing during the investigated period at both stations.
Highlights
An increase of the mean surface air temperature (SAT) presents the most prominent evidence of the present-day climate change both on global and local scales [1,2,3,4]
We described that climate systems are variable on all time scales and that their evolution could be better understood when the insight was aimed on the changes in mean characteristics, but the climate variability and climate extremes were considered [20]
In the present work we have revealed some important features describing the daily average air temperature (DAT) changes, variability and their temporal evolution at the Prague-Sporilov site
Summary
An increase of the mean surface air temperature (SAT) presents the most prominent evidence of the present-day climate change (climate warming) both on global and local scales [1,2,3,4]. The sudden temperature extremes can trigger subsequent climatic and natural events that endanger various sectors of life (e.g. strongly variable precipitation, floods, rising sea level, warmer water temperatures, effect on plant development, etc.) All these events have serious consequences on human every-day-life and on the difficulty of the society adaptation to the unexpected intense weather changes [8]. In the last dozen years numerous investigations focused on the ongoing changes in air temperature variability on different time scales [9,10,11]. Such studies were based on the global gridded SAT data sets.
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