Equatorial predictions from a new neural network based global foF2 model |
| |
Authors: | LA McKinnell EO Oyeyemi |
| |
Institution: | 1. Hermanus Magnetic Observatory, Hermanus, South Africa;2. Department of Physics & Electronics, Rhodes University, Grahamstown, South Africa;3. Department of Physics, University of Lagos, Lagos, Nigeria |
| |
Abstract: | A new neural network (NN) based global empirical model for the foF2 parameter, which represents the peak ionospheric electron density, has been developed using extended temporal and spatial geophysical relevant inputs. It has been proposed that this new model be considered as a suitable replacement for the International Union of Radio Science (URSI) and International Radio Consultative Committee (CCIR) model options currently used within the International Reference Ionosphere (IRI) model for the purpose of F2 peak electron density predictions. The most recent version of the model has incorporated data from 135 global ionospheric stations including a number of equatorial stations. |
| |
Keywords: | Equatorial ionosphere foF2 Neural networks Modeling IRI |
本文献已被 ScienceDirect 等数据库收录! |
|