Details
| Original language | English |
|---|---|
| Article number | N02 |
| Pages (from-to) | L23-L30 |
| Journal | METROLOGIA |
| Volume | 44 |
| Issue number | 3 |
| Publication status | Published - 1 Jun 2007 |
Abstract
ASJC Scopus subject areas
- Engineering(all)
- General Engineering
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In: METROLOGIA, Vol. 44, No. 3, N02, 01.06.2007, p. L23-L30.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Evaluating the uncertainties of data rendered by computational models
AU - Cordero, Raul R.
AU - Seckmeyer, Gunther
AU - Labbe, Fernando
N1 - Copyright: Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2007/6/1
Y1 - 2007/6/1
N2 - Computational models allow calculation of the value of an output quantity from a set of linked input quantities. The value of the output quantity yielded by a model is evidently influenced by errors in the determination of the input quantities. Therefore, the uncertainties of the output data can be expressed in terms of the uncertainties of the input quantities by using a Monte Carlo-based uncertainty propagation technique. As an example, we evaluated the uncertainty of the spectral UV irradiance rendered by a radiative transfer model under cloudless sky conditions. This model allows calculation of the spectrally resolved solar UV irradiance from some set of measured input quantities linked with the concentration of atmospheric constituents, the surface reflectivity as well as the spectral characteristics of the aerosol modulation. Although only a single model was used in this work, the methodology applied to evaluate the uncertainty is general and can be applied to any other computational model.
AB - Computational models allow calculation of the value of an output quantity from a set of linked input quantities. The value of the output quantity yielded by a model is evidently influenced by errors in the determination of the input quantities. Therefore, the uncertainties of the output data can be expressed in terms of the uncertainties of the input quantities by using a Monte Carlo-based uncertainty propagation technique. As an example, we evaluated the uncertainty of the spectral UV irradiance rendered by a radiative transfer model under cloudless sky conditions. This model allows calculation of the spectrally resolved solar UV irradiance from some set of measured input quantities linked with the concentration of atmospheric constituents, the surface reflectivity as well as the spectral characteristics of the aerosol modulation. Although only a single model was used in this work, the methodology applied to evaluate the uncertainty is general and can be applied to any other computational model.
UR - http://www.scopus.com/inward/record.url?scp=34249736897&partnerID=8YFLogxK
U2 - 10.1088/0026-1394/44/3/n02
DO - 10.1088/0026-1394/44/3/n02
M3 - Article
VL - 44
SP - L23-L30
JO - METROLOGIA
JF - METROLOGIA
SN - 0026-1394
IS - 3
M1 - N02
ER -