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.
Development and technical paper
| 
21 May 2026
Development and technical paper |
| 21 May 2026
| 21 May 2026
Approximating the universal thermal climate index using sparse regression with orthogonal polynomials
Related authors
Atmos. Meas. Tech., 18, 1689–1715, 2025
Cited articles
Atanasova, N., Recknagel, F., Todorovski, L., Džeroski, S., and Kompare, B.: Computational assemblage of ordinary differential equations for chlorophyll-a using a lake process equation library and measured data of Lake Kasumigaura, Ecological Informatics: Scope, Techniques and Applications, 409–427, https://doi.org/10.1007/3-540-28426-5_20, 2006a. a
Atanasova, N., Todorovski, L., Džeroski, S., Remec, Š. R., Recknagel, F., and Kompare, B.: Automated modelling of a food web in lake Bled using measured data and a library of domain knowledge, Ecol. Model., 194, 37–48, 2006b. a
Atanasova, N., Todorovski, L., Džeroski, S., and Kompare, B.: Application of automated model discovery from data and expert knowledge to a real-world domain: Lake Glumsø, Ecol. Model., 212, 92–98, 2008. a
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