A method for random uncertainties validation and probing the natural variability with application to TROPOMI on board Sentinel-5P total ozone measurements

Sofieva, Viktoria F.; Lee, Hei Shing; Tamminen, Johanna; Lerot, Christophe; Romahn, Fabian; Loyola, Diego G.

doi:https://doi.org/10.5194/amt-14-2993-2021

Articles | Volume 14, issue 4

https://doi.org/10.5194/amt-14-2993-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Towards Unified Error Reporting (TUNER)

https://doi.org/10.5194/amt-14-2993-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 4

Research article

|

22 Apr 2021

Research article |

| 22 Apr 2021

A method for random uncertainties validation and probing the natural variability with application to TROPOMI on board Sentinel-5P total ozone measurements

Viktoria F. Sofieva, Hei Shing Lee, Johanna Tamminen, Christophe Lerot, Fabian Romahn, and Diego G. Loyola

Data sets

TROPOMI Level 2 Ozone Total Column products, Version 01 Copernicus Sentinel-5P https://doi.org/10.5270/S5P-fqouvyz

Short summary

Our paper discusses the structure function method, which allows validation of random uncertainties in the data and, at the same time, probing of the small-scale natural variability. We applied this method to the clear-sky total ozone measurements by TROPOMI Sentinel-5P satellite instrument and found that the TROPOMI random error estimation is adequate. The discussed method is a powerful tool, which can be used in various applications.