An extension for the model IMAZ for large absorption
The empirical Ionospheric Model of the Auroral Zone (IMAZ) is based on more than 100,000 electron density profiles measured by the European Incoherent Scatter Radar EISCAT combined with about 100 from sounding rockets. The mathematical procedure applied is a neural network (NN) which works fine as l...
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ftpubmed:oai:pubmedcentral.nih.gov:5012353 2023-05-15T16:04:35+02:00 An extension for the model IMAZ for large absorption Friedrich, M. Landauer, G. 2011-06-14 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5012353/ https://doi.org/10.5047/eps.2010.12.008 en eng Springer Berlin Heidelberg http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5012353/ http://dx.doi.org/10.5047/eps.2010.12.008 © The Society of Geomagnetism and Earth, Planetary and Space Sciences, The Seismological Society of Japan 2011 Article Text 2011 ftpubmed https://doi.org/10.5047/eps.2010.12.008 2016-09-25T00:04:23Z The empirical Ionospheric Model of the Auroral Zone (IMAZ) is based on more than 100,000 electron density profiles measured by the European Incoherent Scatter Radar EISCAT combined with about 100 from sounding rockets. The mathematical procedure applied is a neural network (NN) which works fine as long as one requests predictions from inside the so-called input space, but predicting situations outside it, i.e. for conditions not or only poorly covered by data, are in general utterly unrealistic. An analytical procedure is presented which reasonably extrapolates the NN results for conditions inadequately covered by input data. Text EISCAT PubMed Central (PMC) Earth, Planets and Space 63 4 383 390 |
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English |
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Article Friedrich, M. Landauer, G. An extension for the model IMAZ for large absorption |
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Article |
description |
The empirical Ionospheric Model of the Auroral Zone (IMAZ) is based on more than 100,000 electron density profiles measured by the European Incoherent Scatter Radar EISCAT combined with about 100 from sounding rockets. The mathematical procedure applied is a neural network (NN) which works fine as long as one requests predictions from inside the so-called input space, but predicting situations outside it, i.e. for conditions not or only poorly covered by data, are in general utterly unrealistic. An analytical procedure is presented which reasonably extrapolates the NN results for conditions inadequately covered by input data. |
format |
Text |
author |
Friedrich, M. Landauer, G. |
author_facet |
Friedrich, M. Landauer, G. |
author_sort |
Friedrich, M. |
title |
An extension for the model IMAZ for large absorption |
title_short |
An extension for the model IMAZ for large absorption |
title_full |
An extension for the model IMAZ for large absorption |
title_fullStr |
An extension for the model IMAZ for large absorption |
title_full_unstemmed |
An extension for the model IMAZ for large absorption |
title_sort |
extension for the model imaz for large absorption |
publisher |
Springer Berlin Heidelberg |
publishDate |
2011 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5012353/ https://doi.org/10.5047/eps.2010.12.008 |
genre |
EISCAT |
genre_facet |
EISCAT |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5012353/ http://dx.doi.org/10.5047/eps.2010.12.008 |
op_rights |
© The Society of Geomagnetism and Earth, Planetary and Space Sciences, The Seismological Society of Japan 2011 |
op_doi |
https://doi.org/10.5047/eps.2010.12.008 |
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Earth, Planets and Space |
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63 |
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4 |
container_start_page |
383 |
op_container_end_page |
390 |
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1766400180430569472 |