In the past few decades, many studies showed a significant worldwide warming, and consequently, changes in frequency and persistence of extreme high-temperature events were observed. In order to analyse summer Tuscany (Italy) patterns of climate change during the period 1955-2004, indices of temperature and of extreme events were investigated for evidence of trend and change in inter-annual variability by using data of 40 weather stations. Least square regression analysis and Theil-Sen nonparametric regression were applied for evidence of trends. The Mann-Kendall test was applied to each time series to look for statistically significant trends. The results showed a general increase in minimum and maximum temperatures and extreme temperature events. Maximum temperature increase (+0.44 degrees C/decade) was slightly greater than minimum temperature (+0.38 degrees C/decade) and consequently, an increase in summer daily temperature range (DTR) was noted (+0.06 degrees C/decade). Inter-annual summer climate variability showed an increasing trend in the whole region, especially in regard to extreme event occurrences while a small decreasing trend concerning diurnal temperature range was observed.
Recent trends in Tuscany (Italy) summer temperature and indices of extremes / G. Bartolini; M. Morabito; A. Crisci; D. Grifoni; T. Torrigiani; M. Petralli; G. Maracchi; S. Orlandini. - In: INTERNATIONAL JOURNAL OF CLIMATOLOGY. - ISSN 0899-8418. - ELETTRONICO. - 28:(2008), pp. 1751-1760. [10.1002/joc.1673]
Recent trends in Tuscany (Italy) summer temperature and indices of extremes
BARTOLINI, GIORGIO;MORABITO, MARCO;PETRALLI, MARTINA;MARACCHI, GIAMPIERO;ORLANDINI, SIMONE
2008
Abstract
In the past few decades, many studies showed a significant worldwide warming, and consequently, changes in frequency and persistence of extreme high-temperature events were observed. In order to analyse summer Tuscany (Italy) patterns of climate change during the period 1955-2004, indices of temperature and of extreme events were investigated for evidence of trend and change in inter-annual variability by using data of 40 weather stations. Least square regression analysis and Theil-Sen nonparametric regression were applied for evidence of trends. The Mann-Kendall test was applied to each time series to look for statistically significant trends. The results showed a general increase in minimum and maximum temperatures and extreme temperature events. Maximum temperature increase (+0.44 degrees C/decade) was slightly greater than minimum temperature (+0.38 degrees C/decade) and consequently, an increase in summer daily temperature range (DTR) was noted (+0.06 degrees C/decade). Inter-annual summer climate variability showed an increasing trend in the whole region, especially in regard to extreme event occurrences while a small decreasing trend concerning diurnal temperature range was observed.File | Dimensione | Formato | |
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