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apps:biomet_utci [2015/12/22 22:25] – enviadmin | apps:biomet_utci [2015/12/22 22:27] – enviadmin | ||
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- | As the UTCI calculation expects the wind given at the 10 m level, ENVI-met BioMet uses the calculated local wind speed in the model domain related to the pedestrian level (zlevel) and scales it up to the 10 m level equivalent using the logarithmic wind power profile | + | As the UTCI calculation expects the wind given at the 10 m level, ENVI-met BioMet uses the calculated local wind speed in the model domain related to the pedestrian level ($zlevel$) and scales it up to the 10 m level equivalent using the logarithmic wind power profile |
- | $$Wind_{10m} | + | $$ Wind_{10m} = \frac{ln(10 / z0)}{ln(zlevel / z0)} \cdot Wind_{zlevel}$$ |
In other word, if you calculate UTCI at some point for zlevel= 1.6 m, all ENVI-met data such as air temperature or radiative temperature will be used from this level, except of the wind speed which will be extrapolated to the 10 m level value. | In other word, if you calculate UTCI at some point for zlevel= 1.6 m, all ENVI-met data such as air temperature or radiative temperature will be used from this level, except of the wind speed which will be extrapolated to the 10 m level value. | ||
- | Obviously, that doesn' | + | Obviously, that doesn' |
==== Final Remarks ==== | ==== Final Remarks ==== | ||
- | We do not recommend to use UTCI in the regression-based version based on using 2m (1.6m) level wind speeds extrapolated to 10m. In a complex urban environment, | + | We do not recommend to use UTCI in the regression-based version based on using 2m (1.6m) level wind speeds extrapolated to 10m. In a complex urban environment, |