Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 13, issue 5
Articles | Volume 13, issue 5
https://doi.org/10.5194/amt-13-2733-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-2733-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 5
Research article
 | Highlight paper
 | 
28 May 2020
Research article | Highlight paper |  | 28 May 2020

Model-based climatology of diurnal variability in stratospheric ozone as a data analysis tool

Stacey M. Frith, Pawan K. Bhartia, Luke D. Oman, Natalya A. Kramarova, Richard D. McPeters, and Gordon J. Labow

Supplement

https://doi.org/10.5194/amt-13-2733-2020-supplement

Data sets

Data Archives and Transmission System JAXA http://darts.jaxa.jp/stp/smiles/

Index of /anonftp/toms/GDOC_diurnal NASA Goddard Atmospheric Chemistry and Dynamics (Code 614) Scientific/Technical Information https://acd-ext.gsfc.nasa.gov/anonftp/toms/GDOC_diurnal/

SBUV Merged Ozone Data Set (MOD) NASA Goddard https://acd-ext.gsfc.nasa.gov/Data_services/merged/instruments.html

SAGE III-ISS Data and Information NASA Langley Atmospheric Science Data Center https://eosweb.larc.nasa.gov/project/sageiii-iss/sageiii-iss_table

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Short summary
We use the NASA GEOS-GMI chemistry climate model to construct a climatology of stratospheric ozone diurnal variations as a function of latitude, pressure and month, which can be used in a variety of data analysis tasks involving ozone observations made at different times of the day. The climatology compares well with previous modeling simulations and available observations, and to the authors' knowledge is the first characterization of the diurnal cycle available for general ozone data analyses.
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