Abstract
At present, the auroral-electrojet AE, AU, and AL indices are calculated using a smaller number of stations than earlier. This influences the accuracy of estimates of the magnetospheric activity components, which are performed using the relationships with modern indices AE8 (obtained from the data of 8 stations) substituted instead of the classical indices AE12 (obtained from the data of 12 stations). In this paper, we develop an artificial neural-network (ANN) algoritm for recalculating the classical polar-activity indices from modern ones. It is demonstrated that the developed ANN is capable of retrieving the AE12-index from data of 8 stations (AE8) with efficiency reaching 90% in some cases. The results obtained allow one to estimate the error in the representation of the auroral-electrojet activity by modern AE8 indices as compared with the ones introduced into geophysical research by their creators. We also develop a retrieval technique for polar indices, which employs data on solar-wind parameters.
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Barkhatov, N.A., Korolev, A.V., Levitin, A.E. et al. Calculation of Classical Polar-Activity Indices Using Their Modern Variants. Radiophysics and Quantum Electronics 47, 178–184 (2004). https://doi.org/10.1023/B:RAQE.0000036563.49329.c1
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DOI: https://doi.org/10.1023/B:RAQE.0000036563.49329.c1