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Extensive validation of solar spectral irradiance meters at the World Radiation Center
- Source :
- Solar Energy. 166:80-89
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- A comprehensive uncertainty analysis validates a Solar Spectral Irradiance Meter (SolarSIM) for accurately resolving the spectral and broadband direct normal irradiances (DNI), spectral aerosol optical depth (AOD), precipitable water vapour and atmospheric total column ozone amounts. The derivation of these parameters from four SolarSIMs were compared to reference instrumentation at the Physikalisch-Meteorologisches Observatorium Davos and World Radiation Center (PMOD/WRC) in Davos, Switzerland in September 2015. The SolarSIMs are the first instruments to ever simultaneously participate in the 12th WMO International Pyrheliometer Comparison, Fourth Filter Radiometer Comparison, and First Spectroradiometer Comparison. The SolarSIMs’ DNI data were compared to the World Standard Group’s PMO2 absolute cavity radiometer, with World Radiometric Reference factors ranging from 0.999674 to 0.994610 for the best and the worst performing devices, respectively. In addition, the SolarSIMs’ spectral DNI data was compared against PMOD’s Precision Spectral Radiometer. The mean difference of the spectral DNI was found to be less than 5% for wavelengths above 400 nm. The SolarSIMs’ measurements of AOD data were compared against PMOD’s Precision Filter Radiometer triad. The median AOD differences and their standard deviations were found to be 0.0046 ± 0.0044, 0.0016 ± 0.0034, 0.0018 ± 0.0026, and 0.0041 ± 0.0022 for 368 nm, 412 nm, 500 nm, and 865 nm, respectively. The SolarSIMs’ measurements of precipitable water vapour were compared against PMOD’s Cimel CE318 sun photometer. The median difference and the corresponding standard deviation averaged 1 ± 0.2 mm for all SolarSIMs. Furthermore, the SolarSIMs’ measurements of total column atmospheric ozone were compared against PMOD’s Brewer MkIII spectrophotometer. The median difference and the corresponding standard deviation averaged 6 ± 7 DU for all SolarSIMs.
- Subjects :
- Radiometer
010504 meteorology & atmospheric sciences
Precipitable water
Renewable Energy, Sustainability and the Environment
Instrumentation
Irradiance
02 engineering and technology
021001 nanoscience & nanotechnology
01 natural sciences
Standard deviation
Sun photometer
Spectroradiometer
Environmental science
General Materials Science
0210 nano-technology
Pyrheliometer
0105 earth and related environmental sciences
Remote sensing
Subjects
Details
- ISSN :
- 0038092X
- Volume :
- 166
- Database :
- OpenAIRE
- Journal :
- Solar Energy
- Accession number :
- edsair.doi...........029c661686441d9299e0509d9fd00933
- Full Text :
- https://doi.org/10.1016/j.solener.2018.03.044