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Reconstruction of daily solar UV irradiation from 1893 to 2002 in Potsdam, Germany

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Abstract

Long-term records of solar UV radiation reaching the Earth’s surface are scarce. Radiative transfer calculations and statistical models are two options used to reconstruct decadal changes in solar UV radiation from long-term records of measured atmospheric parameters that contain information on the effect of clouds, atmospheric aerosols and ground albedo on UV radiation. Based on earlier studies, where the long-term variation of daily solar UV irradiation was derived from measured global and diffuse irradiation as well as atmospheric ozone by a non-linear regression method [Feister et al. (2002) Photochem Photobiol 76:281–293], we present another approach for the reconstruction of time series of solar UV radiation. An artificial neural network (ANN) was trained with measurements of solar UV irradiation taken at the Meteorological Observatory in Potsdam, Germany, as well as measured parameters with long-term records such as global and diffuse radiation, sunshine duration, horizontal visibility and column ozone. This study is focussed on the reconstruction of daily broad-band UV-B (280–315 nm), UV-A (315–400 nm) and erythemal UV irradiation (ER). Due to the rapid changes in cloudiness at mid-latitude sites, solar UV irradiance exhibits appreciable short-term variability. One of the main advantages of the statistical method is that it uses doses of highly variable input parameters calculated from individual spot measurements taken at short time intervals, which thus do represent the short-term variability of solar irradiance.

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References

  • Bais A, Kazantzidis S, Kazadzis S, Kouremeti N (2005) Application of a model derived cosine correction method on Brewer spectral measurements. Presented at the European Geosciences Union General Assembly, 24–29 April 2005, Vienna, Austria

  • Behrens K (2003) Die Variabilität der Globalstrahlung und Sonnenscheindauer in Potsdam. 6. Deutsche Klimatagung, Berlin, pp 40–46

    Google Scholar 

  • Chevallier F, Cheruy F, Scott NA, Chedin A (1998) A neural network approach for a fast and accurate computation of a longwave radiative budget. J Appl Meteorol 37:1385–1397

    Article  Google Scholar 

  • Dehne K (1984) On the general applicability of a new correction formula for diffuse solar radiation measured by shade ring devices. In: Congress Proceedings, Meteorologie et Energies Renouvables, 13–16 March 1984, Valbonne, France, pp 73–87

  • Dovlo ASS, Jervase JA, Al-Lawati A (2002) Solar radiation estimation using artificial neural networks. Appl Energy 71:307–319

    Article  Google Scholar 

  • Elizondo D, Hoogenboom G, McClendon RW (1994) Development of a neural network model to predict daily solar radiation. Agric For Meteorol 71:115–132

    Article  Google Scholar 

  • Feister U, Grewe R, Gericke K (1997) A method for correction of cosine errors in measurements of spectral UV irradiance. Sol Energy 60:313–332

    Article  Google Scholar 

  • Feister U, Jäkel E, Gericke K (2002) Parameterization of daily solar global ultraviolet irradiation. Photochem Photobiol 76:281–293

    Article  CAS  PubMed  Google Scholar 

  • Feister U, Kaifel A, Grewe RD, Kaptur J, Reutter O, Wohlfart M, Gericke K (2005) Fast measurements of solar spectral irradiance-first performance results of two novel spectroradiometers. Opt Eng 44:041007-1–041007-9

    Article  Google Scholar 

  • Josefsson W (2006) UV-radiation 1983–2003 measured at Norrköping, Sweden. Theor Appl Climatol 83:59–76

    Article  Google Scholar 

  • Junk J, Feister U (2006) Efficiency of a neural network to model and predict daily values of UV irradiation based on measurements of meteorological parameters and atmospheric ozone at Lindenberg, Germany. SCOUT-O3 Annual Meeting 20–24 March 2006, Jülich, Germany

  • Lindfors A, Vuilleumier L (2005) Erythemal UV at Davos (Switzerland), 1926–2003, estimated using total ozone, sunshine duration, and snow depth. J Geophys Res D: Atmosphere 110:1–15

    Google Scholar 

  • Lopez G, Rubio MA, Martinez M, Battles M (1998) Estimation of hourly global photo synthetically active radiation using artificial neural network models. Agric For Meteorol 107:279–291

    Article  Google Scholar 

  • McClelland JL, Rumelhart DE (1986) Parallel distributed processing: explorations in the microstructure of cognition. Vol. I: foundations and vol. II: psychological and biological models. MIT Press, Cambridge

    Google Scholar 

  • McKinley AF, Diffey BL (1987) A reference spectrum for ultraviolet induced erythema in human skin. CIE-J 6:17–22

    Google Scholar 

  • Mohandes M, Rehman S, Halawani TO (1998) Estimation of global solar radiation using artificial neural networks. Renew Energy 14:179–184

    Article  Google Scholar 

  • Reddy KS, Ranjan M (2003) Solar resource estimation using artificial neural networks and comparison with other correlation models. Energ Convers Manag 44:2519–2530

    Article  Google Scholar 

  • Sanchez-Mesa JA, Galan C, Hervas C (2005) The use of discriminant analysis and neural networks to forecast the severity of the Poaceae pollen season in a region with a typical Mediterranean climate. Int J Biometeorol 49:355–362

    Article  PubMed  Google Scholar 

  • Schöne W, Sonntag D (1976) Die Schattenringkorrektion beim Pyranometer mit galvanisch erzeugter Thermosäule. Z Meteorol 26:48–52

    Google Scholar 

  • Slaper H, Reinen HAJM, Blumthaler M, Huber M, Kuik F (1995) Comparing ground-level spectrally resolved solar UV measurements using various instruments: a technique resolving effects of wavelength shift and slit width. Geophys Res Lett 22:2721–2724

    Article  Google Scholar 

  • Sonntag D (1989) Formeln verschiedenen Genauigkeitsgrades zur Berechnung der Sonnenkoordinaten. Abh. Meteorol. Dienstes der DDR 143. Akademie, Berlin

    Google Scholar 

  • Spänkuch D, Schulz E, Feister U, Plessing P (1999) Climatology of total ozone measurements 1964–1997 at Potsdam, based on re-evaluated Dobson series. Ber Dtsch Wetterdienstes 206:1–97

    Google Scholar 

  • Woldt M (2006) Aufbereitung und Auswertung bodengebundener Strahlungs-und Bewölkungsmesswerte für die Rekonstruktion von UV-Strahlungsmessreihen sowie zur Validierung von Mess-Systemen. Internal Work Report, May 2006, DWD-ROA, pp 1–22

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Acknowledgements

We gratefully acknowledge the support given by the European project “Stratospheric-Climate Links with Emphasis on the Upper Troposphere and Lower Stratosphere (SCOUT-O3), Activity 4 UV radiation”, activity leaders A. Bais and G. Seckmeyer. Further, we would like to mention the support of the European COST726 action “Long term changes and climatology of UV radiation over Europe”, to which results of our model calculations and input data have been submitted. The contributions of M. Woldt, who derived daily totals of UV radiation from Brewer spectra, and K. Behrens, who provided the global and diffuse irradiance values, are also acknowledged.

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Junk, J., Feister, U. & Helbig, A. Reconstruction of daily solar UV irradiation from 1893 to 2002 in Potsdam, Germany. Int J Biometeorol 51, 505–512 (2007). https://doi.org/10.1007/s00484-007-0089-4

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  • DOI: https://doi.org/10.1007/s00484-007-0089-4

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