GELETIČ, Jan, Michal LEHNERT and Petr DOBROVOLNÝ. Modelled spatio-temporal variability of air temperature in an urban climate and its validation: a case study of Brno, Czech Republic. Hungarian Geographical Bulletin. vol. 65, No 2, p. 169-180. ISSN 2064-5031. doi:10.15201/hungeobull.65.2.7. 2016.
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Basic information
Original name Modelled spatio-temporal variability of air temperature in an urban climate and its validation: a case study of Brno, Czech Republic
Authors GELETIČ, Jan (203 Czech Republic, guarantor, belonging to the institution), Michal LEHNERT (203 Czech Republic) and Petr DOBROVOLNÝ (203 Czech Republic, belonging to the institution).
Edition Hungarian Geographical Bulletin, 2016, 2064-5031.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10500 1.5. Earth and related environmental sciences
Country of publisher Hungary
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14310/16:00090191
Organization unit Faculty of Science
Doi http://dx.doi.org/10.15201/hungeobull.65.2.7
Keywords in English MUKLIMO_3; urban air temperature; Local Climate Zones; GIS; spatial modelling
Tags AKR, rivok
Tags International impact, Reviewed
Changed by Changed by: Ing. Andrea Mikešková, učo 137293. Changed: 7/4/2017 11:44.
Abstract
Using numerical models for the prediction of air temperature on a local scale represents progress in urban climatology. Although the MUKLIMO_3 simulations showed a number of uncertainties and customisation which must be improved (e.g. the classification of local climate zones seems to be too general as input for the Land Use Table), the model showed good performance in its approximation of the daily courses of air temperature in different urban environments. The degree of imprecision is highly dependent on the quality (e.g. representatives of meteorological measurement) and degree of generalisation (e.g. spatial resolution) of the input data. The model outputs may be used to study the development of the air temperature field in high temporal resolution (e.g. 60 minutes) but also for quantification of the effect of relief, land cover/use and weather conditions on local (urban) climate. The model is also useful for analysing UHIs. To reach a better performance the model must be validated in various cities with diff erent landscape structures throughout the moderate climate zone. Therefore, it is necessary to continue to study the model settings and try to prepare optimal inputs for better results.
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