The first question: I calculated the daily astronomical radiation (MJ/m ^ 2), 1MJ/d/m ^ 2 =(1000/(3.6*24))w/m ^ 2, So, converting the daily astronomical radiation into daily global radiation is correct?
The second question: In addition, I have temperature(℃), wind speed(m/s), relative humidity(%) and cloud cover. Can these data be put into the software to calculate UTCI?
The last question: When vapour pressure is input in the "Current data" box, relative humidity is calculated at the same time. However, this result is different from that calculated by a meteorological datafile. For example, the vapor pressure is 39.2hPa, relative humidity calculated is 70% in the "Current data" box. But relative humidity calculated is 138.1% by a meteorological datafile and cloud cover is only 0.0. So, could you tell me what's wrong? the input file: 01.06.2019 08:20 23.2 39.2 1.2 367 the output file: RayMan Pro 2.3 beta 1999 - 2014 Meteorological Institute, University of Freiburg, Germany date time Gmax Gact A E Ts Ta VP RH v C Tmrt PET UTCI d.m.yyyy h:mm W/m2 W/m2 W/m2 W/m2 ℃ ℃ hPa % m/s octa ℃ ℃ ℃ 1.6.2019 8:20 134.6 367.0 358.6 471.0 29.7 23.2 39.2 138.1 1.2 0.0 36.1 26.3 35.1
I read the instructions. So I've solved the first problem. Mean radiant temperature can be calculated based on global radiation or cloud coverage.
However, 0 = clear sky to 8 = overcast sky, our cloud cover data usually ranges from 0 to 10. And wind speed is smaller than 0.5 or larger than 17.0 m/s, our wind speed is sometimes below 0.5. How to solve the problem of data scoping?
basically you can calculate most thermal indices (including UTCI) based on those parameters, yes (given you also know date and time of the readings).
The issue you might run in is, as you already noticed the wind input limitation of UTCI: As suggested in Broede et al. 2012, you could replace all wind speed lesser than 0.5 by 0.5 m/s (accepting some imprecision) or you should additionally calculate another thermal index to assess differences in this area.
The issue with the cloud cover is rather easy to solve. They are linear scales both, so simply do basic math: cc_8 = cc_10 / 10 * 8
ZitatRayMan Pro 2.3 beta
You are obviously not using a recent version. Please fill the form at the rayman main page and obtain a recent copy. If the error persists please delete all content from the air temperature, vapor pressure and relative humidity boxes and only type numbers there (without decimals for a start) to avoid conversion issues through strange characters (e.g. whitespaces that got there through copying some numbers).
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17.07.2019 06:04
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