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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 5, issue 12
Atmos. Meas. Tech., 5, 3041–3054, 2012
https://doi.org/10.5194/amt-5-3041-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 5, 3041–3054, 2012
https://doi.org/10.5194/amt-5-3041-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 10 Dec 2012

Research article | 10 Dec 2012

Applying spaceborne reflectivity measurements for calculation of the solar ultraviolet radiation at ground level

P. N. den Outer et al.
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Cited articles  
Barnes, R. A., Eplee, R. E., Schmidt, G. M., Patt, F. S., and McClain, C. R.: Calibration of SeaWiFS, I. Direct Techniques, Appl. Optics, 40, 6682–6700, 2001.
Bhartia, P. K.: OMI Algorithm Theoretical Basis Document Volume II OMI Ozone Products, http://eospso.gsfc.nasa.gov/eos_homepage/for_scientists/atbd/docs/OMI/ATBD-OMI-02.pdf (last access: 6 December 2012), 2002.
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, https://doi.org/10.1175/1520-0469(1999)056<0127:SMOAMM>2.0.CO;2, 1999.
Burrows, J. P., Weber, M., Buchwitz, M., Rozanov, V., Ladstätter-Wei{ß}enmayer, A., Richter, A., DeBeek, R., Hoogen, R., Bramstedt, K., Eichmann, K.-U., Eisinger, M., and Perner, D.: The Global Ozone Monitoring Experiment (GOME): mission concept and first scientific results, J. Atmos. Sci., 56, 151–175, https://doi.org/10.1175/1520-0469(1999)056<0151:TGOMEG>2.0.CO;2, 1999.
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