Annual cycle of temperature trends in Europe, 1961–2000

Pokorná, Lucie; Kučerová, Monika; Huth, Radan

doi:10.1016/j.gloplacha.2018.08.015

Cited by 22 publications

(18 citation statements)

References 76 publications

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“…His ndings also demonstrated that the increasing trend of T mean was sharper in the southwest of the country. Pokorná et al (2018) presented that the surface air temperature trends are not geographically monotonous in different regions of the world.…”

Section: Trend Analysismentioning

confidence: 99%

“…Global warming has also led to changes in other climatic variables, which has brought about fundamental concerns toward environment as well as anthropogenic issues. The regional advent of global climate variation does not often conform to the behaviour of global mean temperature (Pokorná et al 2018). In other words, the effects of climate change have been shown to differ from region to region (IPCC 2014).…”

Section: Introductionmentioning

confidence: 99%

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Spatiotemporal analysis of air temperature indices, aridity conditions, and precipitation in Iran

Sadeqi

Kahya

2021

Theor Appl Climatol

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Global warming has become a major threat to life on the earth, and recognizing its impacts can de nitely be useful in controlling and mitigating its adverse effects. In this study, time series variations in air temperature indices (frost days, T min , T max , T mean , T minmin , T maxmax , T soil-min ), De Martonne aridity index (I DM ) and total precipitation were investigated using a long-term meteorological data of 31 synoptic stations throughout Iran. The results indicated that more than 94% of the stations had increasing trend in T mean , in which about 70% were signi cant at the 0.05 level. The average increase in T min was calculated approximately 1.7 times higher than T max and also the increase in T minmin was about 2.5 times higher than T maxmax . Our ndings showed that, abrupt changes in T min and T max mostly observed in the 1990s were upward in 87% of all the stations. Increase in annual T mean at a rate of 0.3 ºC per decade and reduction of 5 mm per decade in total annual precipitation led to decrease in the I DM aridity index by 0.35 per decade in Iran. The intensity of air temperature increase was higher in tropical regions than in cold regions. Trend analysis in the partial series before and after a change point showed that the trends in T mean before the change point were negative, but turned to positive afterwards in some stations mostly located in the northwestern cold and mountainous regions of the country. Our results revealed that the climate in Iran, in general, has become warmer and drier in the past 60 years and continuation of the current global warming trend will exacerbate this problem in the future. HighlightsIran has become warmer and drier over the last six decades.Global warming has caused the average annual T min to experience three signi cant abrupt upward changes in their time series at some stations.The time series trend of some indices before the change point was different than their trend afterwards.The east coast of the Caspian Sea has shifted from Mediterranean region to semi-arid region due to climate change.Tropical regions were warmed more intense than cold regions.

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Section: Trend Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatiotemporal analysis of air temperature indices, aridity conditions, and precipitation in Iran

Sadeqi

Kahya

2021

Theor Appl Climatol

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“…Further, many contributions address various aspects of temperature changes in Europe, concentrating, for example, on temperature fluctuations and trends (Ceppi et al ., 2012; Olbers, 2013; Chrysanthou et al ., 2014; van den Besselaar et al ., 2015; Owczarek and Filipiak, 2016; Begert and Frei, 2018; Pokorná et al ., 2018; Gil‐Alana and Lafuente, 2019; Kolendowicz et al ., 2019; Krauskopf and Huth, 2020), on daily asymmetry in changes in maximum and minimum temperatures (Brázdil et al ., 1996; Heino et al ., 1999; del Rio et al ., 2007; Ramos et al ., 2011; Jaagus et al ., 2014; Damborská et al ., 2016; Scherrer and Begert, 2019), on temperature extremes, heat‐waves and cold snaps (Della‐Marta et al ., 2007; Fischer and Schär, 2010; Lhotka and Kyselý, 2015; Piticar et al ., 2018; Fenner et al ., 2019; Tomczyk et al ., 2019), on model projections of future climate characteristics with respect to several emission scenarios and certain values of warming (Nikulin et al ., 2011; Plavcová and Kyselý, 2011; Kotlarski et al ., 2014; Kjellström et al ., 2018; Lhotka et al ., 2018; Spinoni et al ., 2018; Ruosteenoja et al ., 2020) and so forth.…”

Section: Introductionmentioning

confidence: 99%

Reflections of global warming in trends of temperature characteristics in the Czech Republic, 1961–2019

Zahradníček

Brázdil

Štěpánek

et al. 2020

Intl Journal of Climatology

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This paper presents a comprehensive trend analysis of spatiotemporal temperature change patterns over the territory of what is now the Czech Republic (CR) during the 1961–2019 period. Employing daily mean temperatures (TAVG), maximum (TMAX) and minimum (TMIN) temperatures and diurnal temperature range (DTR), supplied by 133 stations of the Czech Hydrometeorological Institute, daily, monthly, seasonal and annual series were calculated for four altitudinal groups and the entire CR, for which linear trends were calculated and further analysed. For the purposes of relative trend comparison, the linear trends were also calculated from standardized series (mean 0, SD 1, in 1961–1990). All seasonal and annual TAVG, TMAX and TMIN series exhibit statistically significant increasing trends, with the exceptions of only a few cases for winter (DJF) and autumn (SON). DTR trends increase significantly in spring (MAM) and summer (JJA), but decrease in DJF and SON. The highest increases in trends occur in JJA and from stations at lower altitudes for groups I (up to 300 m asl) and II (301–600 m asl). Trends in JJA and SON TMIN are relatively higher than in TMAX, while the opposite holds true of DJF and MAM. Comparing the three decades after 1990 with the 1961–1990 normal, each decade was generally warmer than the previous period, with particularly enhanced warming in 2011–2019. This is also reflected in prominent increases in cumulative temperature sums throughout the year. The results obtained are discussed in the context of other European papers and with respect to explaining existing differences.

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“…Global warming has caused increased extreme weather events, especially for the increased temperature extremes. Due to the societal impacts of temperature extremes, their spatial and temporal changes have been studied extensively at global (Hansen et al ., 2010; NOAA, 2020), regional (Griffiths et al ., 2005; Pokorná et al ., 2018), local (Shi et al ., 2018) and basin (Shrestha et al ., 2017; Tan et al ., 2019b) scales. For instance, the global temperature has steadily increased by approximately 0.07°C/decade since 1880 and the warming after 1980 (by 0.18°C/decade) is nearly three times higher than that before (NOAA, 2020).…”

Section: Introductionmentioning

confidence: 99%

Changes in temperature extremes and their relationship with ENSO in Malaysia from 1985 to 2018

Tan

Juneng

Tangang

et al. 2020

Intl Journal of Climatology

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Understanding the changes in temperature extremes is important for managing and coping with the risks associated with regional climate change. However, the climatological characteristics of temperature extremes and their variabilities is still not adequately studies in Malaysia. This study evaluates the spatial and temporal variations of temperature extremes over Malaysia for the period 1985-2018. This study includes four phases: (a) collection, quality control and homogeneity analysis of temperature data; (b) general (TXmean, TNmean, TMmean and DTR), warm (TXx, TNx, TX90p and TN90p) and cool (TXn, TNn, TX10p and TN10p) temperature extreme indices calculations; (c) trend analysis of temperature extremes using the Mann-Kendall and Sens's slope test; and (d) analyses of correlations between temperature extremes and El Niño-Southern Oscillation (ENSO). The results indicate a warming of surface temperature across Malaysia, particularly in Peninsular Malaysia. In general, TXmean, TNmean and TMmean increased significantly at 5% significance level by 0.

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Annual cycle of temperature trends in Europe, 1961–2000

Cited by 22 publications

References 76 publications

Spatiotemporal analysis of air temperature indices, aridity conditions, and precipitation in Iran

Spatiotemporal analysis of air temperature indices, aridity conditions, and precipitation in Iran

Reflections of global warming in trends of temperature characteristics in the Czech Republic, 1961–2019

Changes in temperature extremes and their relationship with ENSO in Malaysia from 1985 to 2018

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