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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 8, issue 7
Atmos. Meas. Tech., 8, 3021-3035, 2015
https://doi.org/10.5194/amt-8-3021-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Monitoring atmospheric composition and climate, research in...

Atmos. Meas. Tech., 8, 3021-3035, 2015
https://doi.org/10.5194/amt-8-3021-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 30 Jul 2015

Research article | 30 Jul 2015

Extended and refined multi sensor reanalysis of total ozone for the period 1970–2012

R. J. van der A et al.
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Cited articles
Antón, M., Kroon, M., López, M., Vilaplana, J. M., Bañón, M., van der A, R., Veefkind, J. P., Stammes, P., and Alados-Arboledas, L.: Total ozone column derived from GOME and SCIAMACHY using KNMI retrieval algorithms: validation against Brewer measurements at the Iberian Peninsula, J. Geophys. Res., 116, D22303, https://doi.org/10.1029/2011JD016436, 2011.
Bhartia, P. K. and Wellemeyer, C.: TOMS-V8 total O3 algorithm, in: OMI Algorithm Theoretical Basis Document, vol. II, OMI Ozone Products, ATBD-OMI-02, edited by: Bhartia, P. K., NASA Goddard Space Flight Cent., Greenbelt, Md, 15–31, 2002.
Bhartia, P. K., McPeters, R. D., Flynn, L. E., Taylor, S., Kramarova, N. A., Frith, S., Fisher, B., and DeLand, M.: Solar Backscatter UV (SBUV) total ozone and profile algorithm, Atmos. Meas. Tech., 6, 2533–2548, https://doi.org/10.5194/amt-6-2533-2013, 2013.
Bodeker, G. E., Scott, J. C., Kreher, K., and McKenzie, R. L.: Global ozone trends in potential vorticity coordinates using TOMS and GOME intercompared against the Dobson network: 1978–1998, J. Geophys. Res., 106, 23029–23042, 2001.
Bovensmann, H., Burrows, J. P., Buchwitz, M., Frerick, J., Noël, S., Rozanov, V. V., Chance, K. V., and Goede, A. P. H.: SCIAMACHY: mission objectives and measurement modes, J. Atmos. Sci., 56, 127–150, 1999.
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The ozone multi-sensor reanalysis (MSR2) is a multi-decadal ozone column analysis for the period 1970-2012 based on all available ozone column satellite datasets, surface Brewer-Dobson observations and a data assimilation technique with detailed error modelling. The latest total ozone retrievals of 15 different satellite instruments are used: BUV-Nimbus4, TOMS-Nimbus7, TOMS-EP, SBUV-7, -9, -11, -14, -16, -17, -18, -19, GOME, SCIAMACHY, OMI and GOME-2.
The ozone multi-sensor reanalysis (MSR2) is a multi-decadal ozone column analysis for the period...
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