Although the uncertainty of satellite data such as SolarAnywhere® Data has been shown to be low, it can be challenging to determine the uncertainty of satellite data that has been corrected using ground data. This paper explores the limitations of traditional statistical methods, and provides alternative approaches to calculating a more representative uncertainty value for a long-term dataset resulting from ground-corrected satellite data.

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