In short:
I have found that the previous method of calculating wetbulb temperature (Tw) resulted in spurious very high (> 35 °C) values when dewpoint temperature (Td) was very low but temperature (T) very high. Such conditions can occur in hot, arid regions. High Tw is an indicator of severe heat stress and so we want to make sure these errors are not included in any analyses. A new method has been found that, although not perfect - no algorithm will be for Tw because it is an empirical thermodynamic quantity - removes the erroneous high Tw values and generally performs better. This new method (Stull, 2011) has the following caveats:
- The valid range of RH is 5 - 99 %rh
- The valid range of T is -20 to 50 °C
- The algorithm is optimised at a surface pressure of 1013 hPa and T = 20 °C
- Its reported error ranges from -1 to 0.65 °C
- Tw will be overestimated when T > 20 °C, especially at low RH
- Tw will be underestimated when T < 20 °C
- The algorithm is optimised at a surface pressure of 1013 hPa and T = 20 °C
- Differences of 200 hPa make negligible difference when RH > 50 %rh with errors up to 1 oC when RH < 10 %rh.
- Tw will be overestimated in very low P (and low RH, high T)
- Tw will be underestimated in very high P (and low RH, high T)
- The algorithm is not valid for very cold dry conditions
- Note that at 100 %rh the bias remains very small, reducing to 0 when T = 20 °C
- Tw is too low (-0.2 °C) when T = -20 °C
- Tw is too high (0.1 °C) when T = 30 °C.
This new method is now used to produce HadISDH Tw for HadISDH.land, HadISDH.marine, HadISDH.blend and HadISDH.extremes. This is for versions 4.5.0 (land), 1.4.0 (marine) and 1.4.0 (blend) onwards.
The problem:
Previously, for HadISDH I calculated Tw from T and Td using an equation from Jensen et al., (1990):
Tw = (((a*T) + (b*Td)) / (a + b))
a = 0.000066*P
b = ((409.8*e) / ((Tw + 237.3)^2))
Here, P is surface pressure in hPa and e is vapour pressure in hPa. This paper is no longer accessible online unfortunately. The full reference is:
Jensen, M.E., R.D. Burman, and R.G. Allen (ed). 1990. “Evapotranspiration and Irrigation Water Requirements.” ASCE Man. and Rep. on Engineering Pract. No. 70, New York, 332 p.
At the time of developing HadISDH I thought that this was sufficient, and Tw was not the primary focus of the dataset. However, now we are more interested in Tw from a human heat health perspective - particularly values close to 35 °C. On deeper investigation, I have realised that this equation results in very large errors, especially in hot dry conditions that would undermine any analysis of high Tw occurrences. Figure 1 shows Tw calculated using the Jensen et al., (1990) method for a range of T and Td between -30 - 40 °C. The extremely large errors when Td < 0 °C are clear - reaching Tw > 30 °C!!!
The solution:
The equation from Stull (2011) fits an optimal solution to obtain Tw from RH and T at standard surface pressure 1013 hPa:
Tw = (T * arctan(0.151977 * ((RH + 8.313659)^0.5))) + arctan(T + RH) - arctan(RH - 1.676331) + (0.00391838 * ((RH)^(3./2.)) * arctan(0.023101 * RH)) - 4.686035
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| Figure 2. Wetbulb temperature calculated for a range of temperature and dew point temperatures using the Stull (2011) equation. |
The details:
As stated in the Stull (1990) paper, this equation is not valid for cold and dry conditions. Therefore, users of HadISDH should be cautious if their interests lie in Tw in cold conditions. The main interest at present is for high extremes and a new dataset, HadISDH.extremes, is currently under development. This dataset provides monthly gridded indices based on daily maximum T and Tw for assessing changes in frequency and magnitude of humid and dry heat events.



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