Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 14, issue 2
Articles | Volume 14, issue 2
https://doi.org/10.5194/amt-14-1425-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-14-1425-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 2
Research article
 | 
24 Feb 2021
Research article |  | 24 Feb 2021

Model estimations of geophysical variability between satellite measurements of ozone profiles

Patrick E. Sheese, Kaley A. Walker, Chris D. Boone, Doug A. Degenstein, Felicia Kolonjari, David Plummer, Douglas E. Kinnison, Patrick Jöckel, and Thomas von Clarmann

Data sets

Data sets and simulations used for Model estimations of geophysical variability between satellite measurements of ozone profiles P. E. Sheese, K. Walker, C. D. Boone, D. A. Degenstein, F. Kolonjari, D. Plummer, D. E. Kinnison, P. Jöckel, and T. von Clarmann https://doi.org/10.5683/SP2/ZHGQOI

OSIRIS Ozone v5.07 (Version 5.07) C. Z. Roth https://doi.org/10.5281/zenodo.4110053

CMAM30 Data Canadian Centre for Climate Modelling and Analysis (CCCma) https://climate-modelling.canada.ca/climatemodeldata/cmam/output/CMAM/CMAM30-SD/

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Short summary
Output from climate chemistry models (CMAM, EMAC, and WACCM) is used to estimate the expected geophysical variability of ozone concentrations between coincident satellite instrument measurement times and geolocations. We use the Canadian ACE-FTS and OSIRIS instruments as a case study. Ensemble mean estimates are used to optimize coincidence criteria between the two instruments, allowing for the use of more coincident profiles while providing an estimate of the geophysical variation.
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Special issue
Towards Unified Error Reporting (TUNER)