Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 11
Articles | Volume 17, issue 11
https://doi.org/10.5194/amt-17-3597-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-3597-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 11
Research article
 | 
13 Jun 2024
Research article |  | 13 Jun 2024

Stability requirements of satellites to detect long-term stratospheric ozone trends based upon Monte Carlo simulations

Mark Weber

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Bourassa, A. E., Degenstein, D. A., Randel, W. J., Zawodny, J. M., Kyrölä, E., McLinden, C. A., Sioris, C. E., and Roth, C. Z.: Trends in stratospheric ozone derived from merged SAGE II and Odin-OSIRIS satellite observations, Atmos. Chem. Phys., 14, 6983–6994, https://doi.org/10.5194/acp-14-6983-2014, 2014. a, b
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CCI: Ozone cci – User Requirement Document (URD), Version 3.1, European Space Agency, https://climate.esa.int/media/documents/Ozone_cci_urd_v3.1_version_05032021.pdf (last access: 21 November 2023), 2021.​​​​​​​ a, b
CMUG: Climate Modelling User Group [CMUG] Deliverable 1.1, Meeting the needs of the Climate Community – Requirements, European Space Agency, https://admin.climate.esa.int/media/documents/CMUG_Baseline_Requirements_D1.1_v3.0.pdf (last access: 30 November 2023), 2022.​​​​​​​ a, b
Coldewey-Egbers, M., Loyola, D. G., Lerot, C., and Van Roozendael​​​​​​​, M.: Global, regional and seasonal analysis of total ozone trends derived from the 1995–2020 GTO-ECV climate data record, Atmos. Chem. Phys., 22, 6861–6878, https://doi.org/10.5194/acp-22-6861-2022, 2022. a
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We investigate how stable the performance of a satellite instrument has to be to be useful for assessing long-term trends in stratospheric ozone. The stability of an instrument is specified in percent per decade and is also called instrument drift. Instrument drifts add to uncertainties of long-term trends. From simulated time series of ozone based on the Monte Carlo approach, we determine stability requirements that are needed to achieve the desired long-term trend uncertainty.
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