Evaluating the performance of ENVI-met model in diurnal cycles for different meteorological conditions
被引:104
作者:
Acero, Juan A.
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h-index: 0
机构:
TECNALIA, Div Energy & Environm, Parque Tecnol Bizkaia,Edificio700, Derio 48160, Bizkaia, SpainTECNALIA, Div Energy & Environm, Parque Tecnol Bizkaia,Edificio700, Derio 48160, Bizkaia, Spain
Acero, Juan A.
[1
]
Arrizabalaga, Jon
论文数: 0引用数: 0
h-index: 0
机构:
TECNALIA, Div Energy & Environm, Parque Tecnol Bizkaia,Edificio700, Derio 48160, Bizkaia, SpainTECNALIA, Div Energy & Environm, Parque Tecnol Bizkaia,Edificio700, Derio 48160, Bizkaia, Spain
Arrizabalaga, Jon
[1
]
机构:
[1] TECNALIA, Div Energy & Environm, Parque Tecnol Bizkaia,Edificio700, Derio 48160, Bizkaia, Spain
OUTDOOR THERMAL COMFORT;
URBAN HEAT-ISLAND;
MEAN RADIANT TEMPERATURE;
STREET CANYON;
COMPLEX TERRAIN;
CLIMATE-CHANGE;
AIR-QUALITY;
SUMMER;
HOT;
ENVIRONMENTS;
D O I:
10.1007/s00704-016-1971-y
中图分类号:
P4 [大气科学(气象学)];
学科分类号:
0706 ;
070601 ;
摘要:
Urban areas are known to modify meteorological variables producing important differences in small spatial scales (i.e. microscale). These affect human thermal comfort conditions and the dispersion of pollutants, especially those emitted inside the urban area, which finally influence quality of life and the use of public open spaces. In this study, the diurnal evolution of meteorological variables measured in four urban spaces is compared with the results provided by ENVI-met (v 4.0). Measurements were carried out during 3 days with different meteorological conditions in Bilbao in the north of the Iberian Peninsula. The evaluation of the model accuracy (i.e. the degree to which modelled values approach measured values) was carried out with several quantitative difference metrics. The results for air temperature and humidity show a good agreement of measured and modelled values independently of the regional meteorological conditions. However, in the case of mean radiant temperature and wind speed, relevant differences are encountered highlighting the limitation of the model to estimate these meteorological variables precisely during diurnal cycles, in the considered evaluation conditions (sites and weather).