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2009
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2004
Quality-assured aerosol optical properties (AOP) with high spatiotemporal resolution are vital for the accurate estimation of direct aerosol radiative forcing and solar irradiance under clear skies. In this study, the sky information from an all-sky imager (ASI) is used with machine learning (ML) synergy to estimate aerosol optical depth (AOD) and the Ångström Exponent (AE). The retrieved AODs (AE) revealed good accuracy, with a dispersion error lower than 0.07 (0.15). The retrieved ML AOPs are used to estimate the DNI by applying radiative transfer modeling. The estimated ML DNI calculations revealed adequate accuracy to reproduce reference measurements with relatively low uncertainties.
2023
2013
2023
2016
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2008
Results from the Swedish screening programme 2007. Subreport 1: Amines. IVL Report, B1817
2008
Results from the Swedish screening programme 2006. Subreport 5: Hexavalent chromium, Cr(VI). IVL Report B1762
2007
Results from the Swedish screening programme 2006. Subreport 3: Zinc pyrithone and irgarol 1051. IVL Report B1764
2007
2007