Methods for validation of random uncertainty estimates and their applications to ozone profiles from limb-viewing satellite instruments

For satellite measurements of atmospheric composition, the random uncertainty estimates provided by retrieval algorithms might be imperfect due to various approximations used in the retrievals or presence of unknown error sources. This paper presents an overview of the methods used for validation of random uncertainty estimates. All methods discussed in this study are categorized, and assumptions and limitations of each method are discussed. This overview evaluates these methods in application to ozone profile measurements data from limb and occultation satellite instruments and provides practical illustrations of random uncertainty validation.