Articles | Volume 11, issue 3
https://doi.org/10.5194/gmd-11-1093-2018
https://doi.org/10.5194/gmd-11-1093-2018
Development and technical paper
 | 
27 Mar 2018
Development and technical paper |  | 27 Mar 2018

Optimizing UV Index determination from broadband irradiances

Keith A. Tereszchuk, Yves J. Rochon, Chris A. McLinden, and Paul A. Vaillancourt

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Cited articles

Allaart, M., van Weele, M., Fortuin, P., and Kelder, H.: An empirical model to predict the UV-index based on solar zenith angles and total ozone, Meteorol. Appl., 11, 59–64, https://doi.org/10.1017/S1350482703001130, 2004. a
Bian, H. and Prather, M. J.: Fast-J2: Accurate Simulation of Stratospheric Photolysis in Global Chemical Models, J. Atmos. Chem., 41, 281–296, https://doi.org/10.1023/A:1014980619462, 2002. a
Burrows, W. R., Vallée, M., Wardle, D. I., Kerr, J. B., Wilson, L. J., and Tarasick, D. W.: The Canadian operational procedure for forecasting total ozone and UV radiation, Meteorol. Appl., 1, 247–265, https://doi.org/10.1002/met.5060010307, 1994. a
Burrows, J. P., Richter, A., Dehn, A., Deters, B., Himmelmann, S., Voigt, S., and Orphal J.: Atmospheric remote-sensing reference data from GOME 2. Temperature-dependent absorption cross-sections of O3 in the 231–794 nm range, J. Quant. Spectrosc. Ra., 61, 509–517, https://doi.org/10.1016/S0022-4073(98)00037-5, 1999. a
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Short summary
To reduce computational costs, ECCC's new method to calculate the UV Index involves scaling and weighting the irradiance contribution of four low-res UV broadbands currently produced by the GEM forecast model. A high-res irradiance spectrum was produced using Cloud-J to create simulated GEM broadbands to calibrate the original GEM broadbands. The scaled GEM broadbands are then weighted accordingly so that the resultant UV Index field emulates the high-res UV Index field calculated from Cloud-J.
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