0465973 - ÚVGZ 2017 RIV HU eng J - Článek v odborném periodiku
Geletič, Jan - Lehnert, M. - Dobrovolný, Petr
Modelled spatio-temporal variability of air temperature in an urban climate and its validation: a case study of Brno, Czech Republic.
Hungarian Geographical Bulletin. Roč. 65, č. 2 (2016), s. 169-180. ISSN 2064-5031
GRANT EU: European Commission(PL) 21410222
Grant ostatní: EHP + MF ČR(XE) EHP-CZ02-OV-1-036-2015
Program: CZ02 Biodiverzita a ekosystémové služby / Monitorování a integrované plánování a kontrola v životním prostředí/ Adaptace na změnu klimatu
Institucionální podpora: RVO:67179843
Klíčová slova: MUKLIMO_3 * urban air temperature * Local Climate Zones * GIS * spatial modelling
Kód oboru RIV: DG - Vědy o atmosféře, meteorologie

This study compares the results of air temperature model simulations with real temperature measurements in an urban environment. The non-hydrostatic micro-scale model MUKLIMO_3 is used to predict air temperature fields in Brno (Czech Republic). The development of the air temperature fields on three different days was modelled which characterising the radiation-driven weather conditions with high temperature that occurred during the summer of 2015. This analysis demonstrates that the model is able to reproduce the spatial distribution of the air temperature during the day. Statistical tests were applied to establish whether significant differences exist between the modelled and measured air temperatures. Verification of the model results against real temperature measurements was performed at five meteorological stations. The mean absolute differences between the simulated and measured daily mean temperatures were 0.7 °C (4 July), 0.6 °C (18 July) and 0.5 °C (28 August), respectively. This demonstrates that the model overestimated the real values, however, not all the differences were statistically significant. Moreover, there were no significant differences in the variability of the temperatures that were compared. This study also shows that the proper definition of Local Climate Zones and their parameters is critical for more precise model performance. © 2016, Reasearch Centre for Astronomy and Earth Sciences Hungarian Academy.
Trvalý link: http://hdl.handle.net/11104/0264425