Modelled spatio-temporal variability of air temperature in an
urban  climate and its validation: a case study of Brno, Czech
Republic

J 2016

Modelled spatio-temporal variability of air temperature in an urban climate and its validation: a case study of Brno, Czech Republic

GELETIČ, Jan, Michal LEHNERT and Petr DOBROVOLNÝ

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

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10500 1.5. Earth and related environmental sciences

Country of publisher

Hungary

Confidentiality degree

není předmětem státního či obchodního tajemství

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

Abstract

V originále

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.

Citovat

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. 2016, vol. 65, No 2, p. 169-180. ISSN 2064-5031. Available from: https://dx.doi.org/10.15201/hungeobull.65.2.7.

@article{1347720,
   author = {Geletič, Jan and Lehnert, Michal and Dobrovolný, Petr},
   article_number = {2},
   doi = {http://dx.doi.org/10.15201/hungeobull.65.2.7},
   keywords = {MUKLIMO_3; urban air temperature; Local Climate Zones; GIS; spatial modelling},
   language = {eng},
   issn = {2064-5031},
   journal = {Hungarian Geographical Bulletin},
   title = {Modelled spatio-temporal variability of air temperature in an urban climate and its validation: a case study of Brno, Czech Republic},
   volume = {65},
   year = {2016}
}

TY  - JOUR
ID  - 1347720
AU  - Geletič, Jan - Lehnert, Michal - Dobrovolný, Petr
PY  - 2016
TI  - Modelled spatio-temporal variability of air temperature in an urban climate and its validation: a case study of Brno, Czech Republic
JF  - Hungarian Geographical Bulletin
VL  - 65
IS  - 2
SP  - 169-180
EP  - 169-180
SN  - 20645031
KW  - MUKLIMO_3
KW  - urban air temperature
KW  - Local Climate Zones
KW  - GIS
KW  - spatial modelling
N2  - 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.
ER  -

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. \textit{Hungarian Geographical Bulletin}. 2016, vol.~65, No~2, p.~169-180. ISSN~2064-5031. Available from: https://dx.doi.org/10.15201/hungeobull.65.2.7.

Detailed Information on Publication Record