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Temperature characteristics and heat load in the city of Dubrovnik (CROSBI ID 718955)

Neobjavljeno sudjelovanje sa skupa | neobjavljeni prilog sa skupa | domaća recenzija

Boras, Marijana ; Herceg Bulić, Ivana ; Žgela, Matej Temperature characteristics and heat load in the city of Dubrovnik // Meteorološki izazovi 8: Zrak koji udišemo, zrak koji prognoziramo/ Challenges in meteorology 8 The air we breathe, the air we forecast Zagreb, Hrvatska, 28.04.2022-29.04.2022

Podaci o odgovornosti

Boras, Marijana ; Herceg Bulić, Ivana ; Žgela, Matej

engleski

Temperature characteristics and heat load in the city of Dubrovnik

In this study, temperature characteristics and heat load in the city of Dubrovnik are investigated by using temperature data observed at the local meteorological station in Dubrovnik for the period 1961-2019, satellite data collected by LANDSAT5 satellite for the period 2001-2010, and climatic indices data obtained from simulations of an urban climate model (MUKLIMO_3) for the period 2001-2010. Trends in daily mean, maximum, minimum, and seasonal temperatures were analysed using the linear regression method and the Mann-Kendall test. Results reveal rising trends for all of the studied temperature-related parameters. However, it is demonstrated that temperature increase is greatest for the summer season with the biggest rise for daily maximum temperatures. The same approach was applied to examine trends of climatic indices (summer days and tropical nights), which indicates an increase in the number of both summer days and tropical nights. Results of satellite data of average summer land surface temperatures for the period 2001-2010 indicate that urbanised surfaces and bare rock areas heat up more than natural surfaces with vegetation. Climatic indices (summer and hot days, warm evenings, and tropical nights) simulated by the urban climate model MUKLIMO_3 also reveal that, on average, in the city of Dubrovnik urbanised surfaces heat up more than natural surfaces with vegetation and that nocturnal heat load is reduced in lower-density built-up areas.

heat load, urban climate, linear regression method, Mann-Kendall test, climatic indices, model MUKLIMO_3, satellite LANDSAT5

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Podaci o prilogu

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Podaci o skupu

Meteorološki izazovi 8: Zrak koji udišemo, zrak koji prognoziramo/ Challenges in meteorology 8 The air we breathe, the air we forecast

predavanje

28.04.2022-29.04.2022

Zagreb, Hrvatska

Povezanost rada

Geofizika