Long-term solar UV radiation reconstructed by ANN

نویسندگان

  • U. Feister
  • J. Junk
  • M. Woldt
چکیده

Long-term solar UV radiation reconstructed by Artificial Neural Networks (ANN) U. Feister, J. Junk, and M. Woldt Deutscher Wetterdienst, Richard Aßmann Observatorium Lindenberg, Am Observatorium 12, 15848 Lindenberg, Germany Public Research Centre – Gabriel Lippmann, Department of Environment and Agro-Biotechnologies (EVA), 41, rue du Brill, 4422 B Grand-Duchy of Luxembourg, Luxembourg Brandenburgische Technische Universität Cottbus, Lehrstuhl für Umweltmeteorologie, Burger Chaussee 2, Haus 4/3, 03044 Cottbus, Germany

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Long-term solar UV radiation reconstructed by ANN modelling with emphasis on spatial characteristics of input data

Artificial Neural Networks (ANN) are efficient tools to derive solar UV radiation from measured meteorological parameters such as global radiation, aerosol optical depths and atmospheric column ozone. The ANN model has been tested with different combinations of data from the two sites Potsdam and Lindenberg, and used to reconstruct solar UV radiation at eight European sites by more than 100 yea...

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Interactive comment on “Long-term solar UV radiation reconstructed by Artificial Neural Networks (ANN)” by U. Feister et al

General Comments: The title of the paper will be changed to account also for spatial characteristics that are discussed in the paper to Long-term reconstruction of solar UV radiation by the Artificial Neural Networks (ANN) model with emphasis on spatial characteristics of input data Specific Comments: Reviewer: In the Introduction I’ld suggest to motivate the choice of use the daily total...

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Interactive comment on “Long-term solar UV radiation reconstructed by Artificial Neural Networks (ANN)” by U. Feister et al

This study applies Artificial Neural Networks (ANN) to reconstruct daily erythemally effective (ERY) doses of UV radiation (predictands) in the past for 8 European sites and additionally daily doses of UV-A and UV-B radiation for the nearby German sites Potsdam and Lindenberg. They use as ancillary input (predictors) long-term available meteorological data on parameters affecting UV radiation. ...

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Long-term solar UV radiation reconstructed by Artificial Neural Networks (ANN)

1 Deutscher Wetterdienst, Richard Aßmann Observatorium Lindenberg, Am Observatorium 12, 15848 Lindenberg, Germany 2 Public Research Centre – Gabriel Lippmann, Department of Environment and Agro-Biotechnologies (EVA), 41, rue du Brill, 4422 B Grand-Duchy of Luxembourg, Luxembourg 3 Brandenburgische Technische Universität Cottbus, Lehrstuhl für Umweltmeteorologie, Burger Chaussee 2, Haus 4/3, 030...

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Interactive comment on “Long-term solar UV radiation reconstructed by Artificial Neural Networks (ANN)” by U. Feister et al

The introduction states, that the study focuses inter alia on small-scale spatial characteristics that have been derived from data at two sites with small spatial distance (Potsdam and Lindenberg). From my point of view interesting is the finding of increased differences in daily sunshine duration on short distances compared e.g. to global irradiation. It will restrict significance in spatial d...

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تاریخ انتشار 2008