Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 10
Articles | Volume 19, issue 10
https://doi.org/10.5194/gmd-19-4319-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-4319-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 10
Development and technical paper
 | 
21 May 2026
Development and technical paper |  | 21 May 2026

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials

Sabin Roman, Ljupčo Todorovski, Sašo Džeroski, and Gregor Skok

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Short summary
This study aimed to improve how the Universal Thermal Climate Index, a key measure of human thermal comfort, is calculated. Existing methods use a simplified polynomial approximation that is straightforward to apply but can introduce errors. We developed a new version using sparse regression with orthogonal polynomials, which keeps computational efficiency while improving accuracy and stability. The results enable more reliable assessments of outdoor thermal comfort and climate analyses.
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