Correlation Communication Between Meteorological Parameters at Extreme Values of Maximum Air Temperatures

Abstract

The object of the study is the maximum daily air temperature during the months of the year over 1991-2016 by the data of 186 meteorological stations of Ukraine. Extreme values of the maximum daily temperature equal to or exceeded their 95th (Tmax95p and above, ºС) percentile were taken as extreme. The article sets the dates (137 cases) of extreme values of maximum air temperature on more than 60 % of the territory. For these dates, 13 meteorological parameters were selected: average, minimum, and maximum air temperatures; average, minimum and maximum relative humidity; station and sea-level pressure; average, maximum (from 8 synoptic hours) wind speed; rainfall; height of snow cover. The purpose of this work is to determine the correlation coefficient (K), in particular, statistically significant (K≤-0.6, K≥0.6), on these dates between selected meteorological parameters at 186 meteorological stations of Ukraine for 1991-2013. The density of the cases of statistically significant dependence between the meteorological parameters in extremely warm days in separate seasons is determined. In extremely warm days, meteorological parameters and areas with statistically significant correlations at K≤-0.6 were detected: T and F (focally in southern and some western regions with significant density) − in winter; T and F (with the highest density ubiquitous or almost ubiquitous), P and V (in a large number of regions, usually west or right-bank, but with less frequency) − in the transition seasons, and in the autumn between − T and F (in the south with smaller density) and P and F (in some areas of the north, northwest, west, lower east). In all seasons, such a correlation between other meteorological parameters had a focal distribution, usually with a smaller density. In these days, a focal distribution with a small frequency of dependencies at K≥0.6 was found between the meteorological parameters detected (F and V in transition seasons, T and F in winter), except for similar ones. However, such dependence is observed between T and V in some regions in winter and autumn and in some areas of south, southeast, east with a smaller density. The study of the maximum daily temperature is relevant, because from the level of natural hydrometeorological phenomena it is accompanied by dangerous phenomena, negatively affecting the weather dependent industries.

The Northward Range Shifting of Agapanthiola Leucaspis Under the Climate Change

“…Based on our results and the data from CGO, it can be stated that the main factor in the expansion of the range of A. leucaspis to the north and west of Ukraine was the decrease in the amount of precipitation for 2010-2020 by 6%. At the same time, a noticeable expansion of the range was not observed in the previous decade (1999-2010), which can be explained by an increase in the amount of precipitation by 3.1% (Osadchyi & Babichenko, 2013;Shevchenko et al, 2014;Savchuk et al, 2020). There is no doubt that the increase in average annual temperatures is an important factor in the advance of A. leucaspis to higher latitudes.…”

“…The climatic norm for Ukraine is an average annual temperature of 7.98°С and an average annual precipitation of 614 mm. During 1991-2010, an increase in the temperature of the lower layer of the troposphere was recorded in Ukraine by 0.8°С, or by 10% of the norm, and the amount of precipitation during this period increased by 19.0 mm, or by 3.1% of the norm (Osadchyi & Babichenko, 2013;Shevchenko et al, 2014;Savchuk et al, 2020). According to data from the Borys Sreznevskyi Central Geophysical Observatory (CGO, n.d.), over the 11-year period (2010-2020) in Ukraine, the average temperature of the lower layer of the troposphere increased by 1.86°С or by 23.3% to the norm, and the precipitation decreased by 37 mm or 6% from the norm.…”