Summer variation of the UTCI index and Heat Waves in Serbia

Pecelj, Milica; Lukić, Milica; Filipović, Dragana; Protić, Branko

doi:10.5194/nhess-2019-270

Cited by 5 publications

(7 citation statements)

References 18 publications

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“…Even though heatwaves in 2003 and 2010 draw much attention to Western Europe and Russia, it is noteworthy to mention the particularly intensive heatwave of 2007 in South-East Europe. Pecelj et al [70] noted that UTCI values at 14 h were as high as 48.4 • C in Novi Sad (Northern Serbia). The authors stated that due to the changes in air temperatures and the frequency of occurrence of extreme heatwave events, it can be expected that such high values of UTCI are likely to occur in the future.…”

Section: Southern and Southeastern Europementioning

confidence: 99%

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Review of Biometeorology of Heatwaves and Warm Extremes in Europe

2020

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Numerous extreme heatwaves producing large impacts on human health, agriculture, water resources, energy demand, regional economies, and forest ecosystems occurred during the first twenty years of the 21st century. The present study strives to provide a systematic review of recent studies of warm biometeorological extremes in Europe. The main aim of this paper is to provide a methodical summary of the observed changes in warm extremes, duration, and variability in different parts of Europe. During the last decade, much attention has been paid to the negative impacts of heat and humidity on human health. Therefore, the human biometeorology is required to appraise the human thermal environment in a way that human thermoregulation is taken into account. In many European countries and regions, future heat exposure will indeed exceed critical levels, and a steep increase in biometeorological heatwaves and warm extremes are expected. The indices that take into account human energy balance along with weather conditions should be used to examine the impacts of extreme heatwaves on human health and should be used as a basis for the determination of acclimatization to high-heat-stress conditions. A detailed description of recent studies that have used biometeorological indices such as Physiological Equivalent Temperature (PET) and Universal Thermal Climate Index (UTCI) for the estimation of warm extremes and their influence on human health is provided. Additionally, a short overview of the existence of the heat-health warning systems (HHWS), their conceptualization, and implementation across the European continent is considered, as well as the possibilities for further investigations and implementation of effective measures and programs that could reduce the adverse health impacts.

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Section: Southern and Southeastern Europementioning

confidence: 99%

“…A major part of Poland's territory was affected by conditions very strenuous for the organism with UTCI values higher than 40 • C after 1990. Similar changes in extreme values of UTCI were observed in regional studies in Poland [75], but also in other European countries-e.g., Hungary [76] or Romania [77], Serbia [70].…”

Section: Central and Western Europementioning

confidence: 99%

Review of Biometeorology of Heatwaves and Warm Extremes in Europe

2020

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“…Serbian researchers (Pecelj et al, 2019) have also found, among other things, that in addition to the increase in the frequency of heat waves, a growth trend is also detected in their duration.…”

Section: Introductionmentioning

confidence: 93%

“…Heat waves also have a very detrimental effect on the development of plants, for example, maize does not tolerate heat stress above 35 °C, its development slows down or even stops (Somfalvi-Tóth, 2018). It is worth looking at the yield of maize for the period 2010-2019(KSH, 2019. Weaker yields in 2012, 2015, 2017 may correlate with the number of 31, 32, 33 heat wave days occurring in these years.…”

Section: Introductionmentioning

confidence: 99%

Markov chain analysis of the probability of days in a heat wave period

Fekete¹

2022

Időjárás

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The impact of global climate change is also felt in Hungary. An undesirable effect of climate change (associated with rising temperatures) is mainly the increase in the frequency, intensity, and length of summer heat waves. In this respect, the region of the Southern Great Plain and the Danube-Tisza Region are particularly endangered, but the number of heat wave days has increased throughout the country in recent decades. This study takes the climatic data sets of Baja into account, and on this basis, it gives the probability that a particular day falls into a heat wave period. Based on this information we draw a general conclusion about the long-term change of this climatic characteristic of the Southern Great Plain. The mathematical model used in the research applies the theory of Markov chains, which is relatively new in statistical analysis.

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“…Napoli et al have assessed the thermal bioclimate of Europe for the summer season and concluded that an increase in heat stress up to 1 • C was observed from 1979 to 2016 [27]. Some scholars pointed out that southern Europe (Crete Island in Greece, Eastern Mediterranean, Athens, Madrid (Spain), Novi Sad (Vojvodina, Northern Serbia)) were under high temperature and pressure, and climate warming has led to a significant increase in the frequency and duration of high-temperature heat waves in southern Europe and a decline in climate comfort [28][29][30][31][32][33][34][35]. In central Europe, climate change has led to an increase in the number of strong and very strong heat stress days in Poland [36].…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Characteristics of Arctic Summer Climate Comfort Level in the Context of Regional Tourism Resources from 1979 to 2019

Huang

Zhang

et al. 2021

Sustainability

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In the context of global warming, a key scientific question for the sustainable development of the Arctic tourism industry is whether the region’s climate is becoming more suitable for tourism. Based on the ERA5-HEAT (Human thErmAl comforT) dataset from the European Center for Medium-range Weather Forecasts (ECMWF), this study used statistical methods such as climatic tendency rate and RAPS to analyze the spatial-temporal changes in Arctic summer climate comfort zones from 1979 to 2019 and to explore the influence of changes in climate comfort on Arctic tourism. The results showed the following: (1) With the increase in the Arctic summer temperature, the universal thermal climate index (UTCI) rose significantly from 1979 to 2019 at a rate of 0.457 °C/10a. There was an abrupt change in 2001, when the climate comfort changed from “colder” to “cool”, and the climate comfort has remained cool over the past decade (2010–2019). (2) With the increase in Arctic summer temperatures, the area assessed as “comfortable” increased significantly from 1979 to 2019 at a rate of 2.114 × 105 km2/10a. Compared with the comfortable area in the 1980s, the comfortable area increased by 6.353 × 105 km2 over the past 10 years and expanded to high-latitude and high-altitude areas, mainly in Kola Peninsula, Putorana Plateau, and Verkhoyansk Mountains in Russia, as well as the Brooks Mountains in Alaska. (3) With the increase in Arctic summer temperatures, the number of days rated comfortable on 30% of the grid increased significantly from 1979 to 2019 (maximum increase: 31 days). The spatial range of the area with a low level of comfortable days narrowed and the spatial range of the area with a high level of such days expanded. The area with 60–70 comfortable days increased the most (4.57 × 105 km2). The results of this study suggest that global warming exerts a significant influence on the Arctic summer climate comfort level and provides favorable conditions for further development of regional tourism resources.

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Summer variation of the UTCI index and Heat Waves in Serbia

Cited by 5 publications

References 18 publications

Review of Biometeorology of Heatwaves and Warm Extremes in Europe

Review of Biometeorology of Heatwaves and Warm Extremes in Europe

Markov chain analysis of the probability of days in a heat wave period

Spatial-Temporal Characteristics of Arctic Summer Climate Comfort Level in the Context of Regional Tourism Resources from 1979 to 2019

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