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 a Petr DOBROVOLNÝ

Základní údaje

Originální název

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

Autoři

GELETIČ, Jan (203 Česká republika, garant, domácí), Michal LEHNERT (203 Česká republika) a Petr DOBROVOLNÝ (203 Česká republika, domácí)

Vydání

Hungarian Geographical Bulletin, 2016, 2064-5031

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10500 1.5. Earth and related environmental sciences

Stát vydavatele

Maďarsko

Utajení

není předmětem státního či obchodního tajemství

Kód RIV

RIV/00216224:14310/16:00090191

Organizační jednotka

Přírodovědecká fakulta

DOI

http://dx.doi.org/10.15201/hungeobull.65.2.7

Klíčová slova anglicky

MUKLIMO_3; urban air temperature; Local Climate Zones; GIS; spatial modelling

Štítky

AKR, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 7. 4. 2017 11:44, Ing. Andrea Mikešková

Anotace

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 a 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, roč. 65, č. 2, s. 169-180. ISSN 2064-5031. Dostupné z: 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 a 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, roč.~65, č.~2, s.~169-180. ISSN~2064-5031. Dostupné z: https://dx.doi.org/10.15201/hungeobull.65.2.7.

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