Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/16117
Validation of the GUM uncertainty framework and the Unscented transformation for Brewer UV irradiance measurements using the Monte Carlo method
Title: Validation of the GUM uncertainty framework and the Unscented transformation for Brewer UV irradiance measurements using the Monte Carlo method
Authors: González, CarmenVilaplana Guerrero, José ManuelParra Rojas, Francisco C.Autor AEMETSerrano, Antonio
Keywords: Ultraviolet irradiance; Uncertainty; Monte Carlo; Unscented transformation; GUM; Brewer spectrometer
Issue Date: 2025
Publisher: Elsevier
Citation: Measurement. 2025, 239, 115466
Publisher version: https://doi.org/10.1016/j.measurement.2024.115466
Abstract: The uncertainty evaluation of spectral ultraviolet (UV) irradiance measurements is usually performed following the recommendations set by the GUM, the standard for uncertainty evaluation in metrology. In particular, the GUM uncertainty framework (GUF) is applied. Due to the difficulties in the propagation of uncertainties, it is standard practice to neglect the non-linearity of the irradiance model. To verify this assumption, the GUF is validated using the Monte Carlo method (MCM), as recommended by the GUM. As an alternative to these methods, an Unscented transformation (UT) has also been implemented and validated with the MCM. The data used are the UV scans recorded by a Brewer MKIII spectroradiometer at El Arenosillo Observatory. Evaluation of the spectral ratios between the combined standard uncertainties provided by the GUF, the UT, and the MCM showed that the agreement between the three methodologies is satisfactory.
Sponsorship : The authors declare that they have no conflict of interest. This work was supported by MCIN/ AEI/10. 13039/501100011033 and “European Union NextGenerationEU/PRTR” [Grant TED2021-130532A-I00 ]; and by ESA-MPC , Aemet [KNMI- Contract Number 2020/658, 2020].
URI: http://hdl.handle.net/20.500.11765/16117
ISSN: 0263-2241
1873-412X
Appears in Collections:Artículos científicos 2023-2026


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