Articles | Volume 15, issue 20
Research article
19 Oct 2022
Research article |  | 19 Oct 2022

Algorithm theoretical basis for ozone and sulfur dioxide retrievals from DSCOVR EPIC

Xinzhou Huang and Kai Yang

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Cited articles

Ahmad, Z., Bhartia, P. K., and Krotkov, N. A.: Spectral properties of backscattered UV radiation in cloudy atmospheres, J. Geophys. Res.-Atmos., 109, D01201,, 2004. a, b
Bak, J., Liu, X., Wei, J. C., Pan, L. L., Chance, K., and Kim, J. H.: Improvement of OMI ozone profile retrievals in the upper troposphere and lower stratosphere by the use of a tropopause-based ozone profile climatology, Atmos. Meas. Tech., 6, 2239–2254,, 2013. a
Bak, J., Liu, X., Birk, M., Wagner, G., Gordon, I. E., and Chance, K.: Impact of using a new ultraviolet ozone absorption cross-section dataset on OMI ozone profile retrievals, Atmos. Meas. Tech., 13, 5845–5854,, 2020. a
Bhartia, P. K. and Wellemeyer, C. G.: TOMS-V8 Total O3 Algorithm, in: OMI Algorithm Theoretical Basis Document, 2nd edn., vol. II, edited by: Bhartia, P. K., NASA Goddard Space Flight Center, Greenbelt, Maryland, USA, 15–32, (last access: 1 October 2022), 2002. a, b, c, d, e
Birk, M. and Wagner, G.: ESA SEOM-IAS – Measurement and ACS database SO2 UV region (Version 1), Zenodo [data set],, 2018. a, b
Short summary
This paper describes the algorithm for O3 and SO2 retrievals from DSCOVR EPIC. Algorithm advances, including the improved O3 profile representation and the regulated direct fitting inversion technique, improve the accuracy of O3 and SO2 from the multi-channel measurements of DSCOVR EPIC. A thorough error analysis is provided to quantify O3 and SO2 retrieval uncertainties due to various error sources and simplified algorithm physics treatments.