Calculate UTCI using sparse regression approximation

Calculates UTCI using the sparse regression approximation with Legendre polynomials from Roman et al. (2025). This is a more accurate approximation than the original Bröde et al. (2012) polynomial, with fewer terms and better numerical stability.

Usage

utci_sparse(temp_c, tmrt, wind_speed, rh)

Arguments

temp_c

Air temperature in Celsius (-50 to 50)

tmrt

Mean radiant temperature in Celsius

wind_speed

Wind speed at 10m height in m/s (0.5 to 30.3)

rh

Relative humidity as percentage (5 to 100)

Value

UTCI in Celsius

References

Roman, S., Skok, G., Todorovski, L., & Dzeroski, S. (2025). UTCI approximation using sparse regression with orthogonal polynomials. Zenodo. https://doi.org/10.5281/zenodo.17465548 https://arxiv.org/abs/2508.11307

Examples

utci_sparse(30, tmrt = 40, wind_speed = 2, rh = 60)
#> [1] 32.75453
utci_sparse(35, tmrt = 35, wind_speed = 1, rh = 80)
#> [1] 43.45678