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Long-term changes in solar shortwave irradiance due to different atmospheric factors according to measurements and reconstruction model in Northern Eurasia
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1  Lomonosov Moscow State University, Geographical Faculty, Department of Meteorology and Climatology


The temporal variability of solar shortwave radiation (SSR) was assessed over Northern Eurasia (40o – 80o N; 10o W – 180o E) by using SSR reconstruction model since the middle of 20 century. The reconstruction model estimates the year-to-year SSR variability as a sum of variations in SSR due to changes in aerosol, effective cloud amount and cloud optical thickness which are the most effective factors affecting SSR. The retrievals of year-to-year SSR variations according to different factors were tested against long-term measurements in Moscow State University Meteorological Observatory during 1968-2016. The reconstructed changes show a good agreement with measurements with determination factor R2 = 0,8. The analysis of SSR trends since 1979 has detected a significant growth of 2.5% per decade, which may be explained by its increase due to change in cloud amount (+2.4% per decade) and aerosol optical thickness (+0.4% per decade). The trend due to cloud optical thickness was statistically insignificant. Using the SSR reconstruction model we obtained the long-term SSR variability due to different factors for the territory of Northern Eurasia. The increasing SSR trends have been detected on most sites since 1979. The long-term SSR variability over Northern Eurasia is effectively explained by changes in cloud amount and, in addition, by changes in aerosol loading over the polluted regions. The retrievals of the SSR variations showed a good agreement with the changes in global radiance measurements from World Radiation Data Centre (WRDC) archive. The work was supported by RFBR grant number 18-05-00700.

Keywords: solar shortwave radiation; trends; cloudiness; aerosols; reconstruction model; Northern Eurasia
Comments on this paper
Anthony Lupo
Is there a publication?
Dear Authors:

Is there a publication with this model? Would we be able to use this model in a statistical -dynamic climate model.

Thank you,


Dear Tony,
Thank you for your interest to our paper!
Is there a publication with this model?
We have submitted just a month ago some content relating to this material to the Russian Meteorology and Hydrology journal.
The main ideas of the method were also published in my paper:
Chubarova N.E. UV variability in Moscow according to long-term UV measurements and reconstruction model // Atmos. Chem. Phys., 2008, Vol. 8, pp. 3025-

Would we be able to use this model in a statistical -dynamic climate model.
Yes, of course!

Best regards
Natalia Chubarova

Anthony Lupo

Good afternoon. Thank you for your reply!

I will forward this to the group we have building the model. We'll let you know how this model works.