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28 October 2022 Development of the principal component-based accurate fast vector radiative transfer model with fine resolution in the UV to NIR wavelength range
Qiguang Yang, Xu Liu, Ming Zhao, Xiaozhen Xiong, Wan Wu
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Proceedings Volume PC12265, Remote Sensing of Clouds and the Atmosphere XXVII; PC1226501 (2022) https://doi.org/10.1117/12.2636105
Event: SPIE Remote Sensing, 2022, Berlin, Germany
Abstract
A principal component based accurate fast vector radiative transfer model with very high resolution in the UV (200 nm) to NIR (2500 nm) has been developed. This model greatly reduces the number of necessary radiative transfer calculations, and no time-consume convolution process is needed to get the final radiance spectrum. The error in the obtained Stokes component is usually smaller than 0.1% and is much smaller than the uncertainty in the measured solar irradiance.
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Qiguang Yang, Xu Liu, Ming Zhao, Xiaozhen Xiong, and Wan Wu "Development of the principal component-based accurate fast vector radiative transfer model with fine resolution in the UV to NIR wavelength range", Proc. SPIE PC12265, Remote Sensing of Clouds and the Atmosphere XXVII, PC1226501 (28 October 2022); https://doi.org/10.1117/12.2636105
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KEYWORDS
Radiative transfer
Ultraviolet radiation
Near infrared
Atmospheric modeling
Data modeling
Oxygen
Far infrared
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