EGU21-13051, updated on 04 Mar 2021
https://doi.org/10.5194/egusphere-egu21-13051
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Artificial neural networks in the problem of determining the position and size of the solar disk in wide-angle photographs of the sky

Mikhail Borisov1 and Mikhail Krinitskiy2
Mikhail Borisov and Mikhail Krinitskiy
  • 1MIPT, MIPT, DASR, Russian Federation (borisov.ma@phystech.edu)
  • 2Shirshov Institute of Oceanology, Russian Academy of Sciences, Russian Federation, Moscow (krinitsky.ma@phystech.edu)

Total cloud score is a characteristic of weather conditions. At the moment, there are algorithms that automatically calculate cloudiness based on a photograph of the sky These algorithms do not know how to find the solar disk, so their work is not absolutely accurate.

To create an algorithm that solves this data, the data used, obtained as a result of sea research voyages, is used, which is marked up for training the neural network.

As a result of the work, an algorithm was obtained based on neural networks, based on a photograph of the sky, in order to determine the size and position of the solar disk, other algorithms can be used to work with images of the visible hemisphere of the sky.

How to cite: Borisov, M. and Krinitskiy, M.: Artificial neural networks in the problem of determining the position and size of the solar disk in wide-angle photographs of the sky, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-13051, https://doi.org/10.5194/egusphere-egu21-13051, 2021.

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