Articles | Volume 15, issue 13
https://doi.org/10.5194/acp-15-7391-2015
https://doi.org/10.5194/acp-15-7391-2015
Research article
 | 
09 Jul 2015
Research article |  | 09 Jul 2015

Comparison of OMI UV observations with ground-based measurements at high northern latitudes

G. Bernhard, A. Arola, A. Dahlback, V. Fioletov, A. Heikkilä, B. Johnsen, T. Koskela, K. Lakkala, T. Svendby, and J. Tamminen

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Cited articles

Antón, M., Cachorro, V. E., Vilaplana, J. M., Toledano, C., Krotkov, N. A., Arola, A., Serrano, A., and de la Morena, B.: Comparison of UV irradiances from Aura/Ozone Monitoring Instrument (OMI) with Brewer measurements at El Arenosillo (Spain) – Part 1: Analysis of parameter influence, Atmos. Chem. Phys., 10, 5979–5989, https://doi.org/10.5194/acp-10-5979-2010, 2010.
Anton, M., Valenzuela, A., Román, R., Lyamani, H., Krotkov, N., Arola, A., Olmo, F. J., and Alados-Arboledas, L.: Influence of desert dust intrusions on ground-based and satellite-derived ultraviolet irradiance in southeastern Spain, J. Geophys. Res., 117, D19209, https://doi.org/10.1029/2012JD018056, 2012.
Bais, A., Blumthaler, M., Gröbner, J., Seckmeyer, G., Webb, A. R., Görts, P., Koskela, T., Rembges, D., Kazadzis, S., Schreder, J., Cotton, P., Kelly, P., Kouremeti, N., Rikkonen, K., Studemund, H., Tax, R., and Wuttke, S.: Quality assurance of spectral ultraviolet measurements in Europe through the development of a transportable unit (QASUME), in: Ultraviolet Ground- and Space-Based Measurements, Models, and Effects II, edited by: Gao, W., Herman, J. R., Shi, G., Shibasoki, K., and Slusser, J. R., SPIE, Bellingham, WA, USA, 4896, 232–238, 2003.
Bais, A. F., McKenzie, R. L., Bernhard, G., Aucamp, P. J., Ilyas, M., Madronich, S., and Tourpali, K.: Ozone depletion and climate change: Impacts on UV radiation, Photochem. Photobiol. Sci., 14, 19–52, 2015.
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Short summary
Surface erythemal UV data from the Ozone Monitoring Instrument (OMI) are validated for high northern latitudes (Arctic and Scandinavia) using ground-based measurements. The bias in OMI data caused by incorrect assumptions of the surface albedo are quantified and the mechanism that causes this bias is discussed. Methods to improve the accuracy of OMI data products are presented.
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