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apps:biomet_utci [2015/04/01 00:04] – enviadmin | apps:biomet_utci [2020/07/09 14:59] – enviadmin | ||
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====== UTCI ====== | ====== UTCI ====== | ||
- | The calculation of UTCI is based on a 6th order polynomial regression function estimating UTCI from wind speed, air temperature, | + | The UTCI was first integrated in EnvimetV4 in 2013. The calculation of UTCI is based on a 6th order polynomial regression function estimating UTCI from wind speed, air temperature, |
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- | As UTCI refers to the 10 m level, ENVI-met BioMet | + | As the UTCI calculation expects the wind given at the 10 m level, ENVI-met BioMet |
- | $$v_{10m} := ln(10 / z0) / ln(zlevel / z0) * wind10m$$ | + | $$ Wind_{10m} = \frac{ln(10 / z0)}{ln(zlevel / z0)} \cdot Wind_{zlevel}$$ |
- | Obviously, that doesn' | + | In other words, 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. |
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+ | 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, |