Assessment of the error budget for stratospheric ozone profiles retrieved from OMPS limb scatter measurements

Arosio, Carlo; Rozanov, Alexei; Gorshelev, Victor; Laeng, Alexandra; Burrows, John P.

doi:https://doi.org/10.5194/amt-15-5949-2022

Articles | Volume 15, issue 20

https://doi.org/10.5194/amt-15-5949-2022

© Author(s) 2022. 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-15-5949-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 20

Research article

|

20 Oct 2022

Research article |

| 20 Oct 2022

Assessment of the error budget for stratospheric ozone profiles retrieved from OMPS limb scatter measurements

Carlo Arosio, Alexei Rozanov, Victor Gorshelev, Alexandra Laeng, and John P. Burrows

Supplement

https://doi.org/10.5194/amt-15-5949-2022-supplement

Data sets

OMPS-LP ozone profiles retrieved at the University of Bremen - IUP C. Arosio and A. Rozanov https://doi.org/10.5281/zenodo.7198052

Random and systematic uncertainties for OMPS-LP ozone profiles C. Arosio https://doi.org/10.5281/zenodo.7197774

MLS/Aura Level 2 Ozone (O3) Mixing Ratio V004 M. Schwartz, L. Froidevaux, N. Livesey, and W. Read https://doi.org/10.5067/Aura/MLS/DATA2017

Serdyuchenko-Gorshelev UV/VIS/NIR ozone absorption cross-section (1.0) A. Serdyuchenko, V. Gorshelev, M. Weber, and J. P. Burrows https://doi.org/10.5281/zenodo.5793207

OMPS-NPP L1G LP Radiance EV Wavelength-Altitude Grid swath orbital 3slit V2 G. Jaross https://doi.org/10.5067/Q0V6DTPZHSHV

Model code and software

SCIATRAN RTM SCIATRAN working group https://www.iup.uni-bremen.de/sciatran/download/index.html

Regression Coefficients of parametrisation of function of natural atmospheric variability and reparametrization on latitudinal gradients software A. Laeng https://doi.org/10.5445/IR/1000137514

Short summary

This paper characterizes the uncertainties affecting the ozone profiles retrieved at the University of Bremen through OMPS limb satellite observations. An accurate knowledge of the uncertainties is relevant for the validation of the product and to correctly interpret the retrieval results. We investigate several sources of uncertainties, estimate a total random and systematic component, and verify the consistency of the combined OMPS-MLS total uncertainty.