Bayesian statistical ionospheric tomography improved by incorporating ionosonde measurements
We validate two-dimensional ionospheric tomography reconstructions against EISCAT incoherent scatter radar measurements. Our tomography method is based on Bayesian statistical inversion with prior distribution given by its mean and covariance. We employ ionosonde measurements for the choice of the p...
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ftdoajarticles:oai:doaj.org/article:e97e1094c99e4da4bed572f37d928b33 2023-05-15T16:04:33+02:00 Bayesian statistical ionospheric tomography improved by incorporating ionosonde measurements J. Norberg I. I. Virtanen L. Roininen J. Vierinen M. Orispää K. Kauristie M. S. Lehtinen 2016-04-01T00:00:00Z https://doi.org/10.5194/amt-9-1859-2016 https://doaj.org/article/e97e1094c99e4da4bed572f37d928b33 EN eng Copernicus Publications http://www.atmos-meas-tech.net/9/1859/2016/amt-9-1859-2016.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 1867-1381 1867-8548 doi:10.5194/amt-9-1859-2016 https://doaj.org/article/e97e1094c99e4da4bed572f37d928b33 Atmospheric Measurement Techniques, Vol 9, Iss 4, Pp 1859-1869 (2016) Environmental engineering TA170-171 Earthwork. Foundations TA715-787 article 2016 ftdoajarticles https://doi.org/10.5194/amt-9-1859-2016 2022-12-31T03:31:51Z We validate two-dimensional ionospheric tomography reconstructions against EISCAT incoherent scatter radar measurements. Our tomography method is based on Bayesian statistical inversion with prior distribution given by its mean and covariance. We employ ionosonde measurements for the choice of the prior mean and covariance parameters and use the Gaussian Markov random fields as a sparse matrix approximation for the numerical computations. This results in a computationally efficient tomographic inversion algorithm with clear probabilistic interpretation. We demonstrate how this method works with simultaneous beacon satellite and ionosonde measurements obtained in northern Scandinavia. The performance is compared with results obtained with a zero-mean prior and with the prior mean taken from the International Reference Ionosphere 2007 model. In validating the results, we use EISCAT ultra-high-frequency incoherent scatter radar measurements as the ground truth for the ionization profile shape. We find that in comparison to the alternative prior information sources, ionosonde measurements improve the reconstruction by adding accurate information about the absolute value and the altitude distribution of electron density. With an ionosonde at continuous disposal, the presented method enhances stand-alone near-real-time ionospheric tomography for the given conditions significantly. Article in Journal/Newspaper EISCAT Directory of Open Access Journals: DOAJ Articles Atmospheric Measurement Techniques 9 4 1859 1869 |
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Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
spellingShingle |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 J. Norberg I. I. Virtanen L. Roininen J. Vierinen M. Orispää K. Kauristie M. S. Lehtinen Bayesian statistical ionospheric tomography improved by incorporating ionosonde measurements |
topic_facet |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
description |
We validate two-dimensional ionospheric tomography reconstructions against EISCAT incoherent scatter radar measurements. Our tomography method is based on Bayesian statistical inversion with prior distribution given by its mean and covariance. We employ ionosonde measurements for the choice of the prior mean and covariance parameters and use the Gaussian Markov random fields as a sparse matrix approximation for the numerical computations. This results in a computationally efficient tomographic inversion algorithm with clear probabilistic interpretation. We demonstrate how this method works with simultaneous beacon satellite and ionosonde measurements obtained in northern Scandinavia. The performance is compared with results obtained with a zero-mean prior and with the prior mean taken from the International Reference Ionosphere 2007 model. In validating the results, we use EISCAT ultra-high-frequency incoherent scatter radar measurements as the ground truth for the ionization profile shape. We find that in comparison to the alternative prior information sources, ionosonde measurements improve the reconstruction by adding accurate information about the absolute value and the altitude distribution of electron density. With an ionosonde at continuous disposal, the presented method enhances stand-alone near-real-time ionospheric tomography for the given conditions significantly. |
format |
Article in Journal/Newspaper |
author |
J. Norberg I. I. Virtanen L. Roininen J. Vierinen M. Orispää K. Kauristie M. S. Lehtinen |
author_facet |
J. Norberg I. I. Virtanen L. Roininen J. Vierinen M. Orispää K. Kauristie M. S. Lehtinen |
author_sort |
J. Norberg |
title |
Bayesian statistical ionospheric tomography improved by incorporating ionosonde measurements |
title_short |
Bayesian statistical ionospheric tomography improved by incorporating ionosonde measurements |
title_full |
Bayesian statistical ionospheric tomography improved by incorporating ionosonde measurements |
title_fullStr |
Bayesian statistical ionospheric tomography improved by incorporating ionosonde measurements |
title_full_unstemmed |
Bayesian statistical ionospheric tomography improved by incorporating ionosonde measurements |
title_sort |
bayesian statistical ionospheric tomography improved by incorporating ionosonde measurements |
publisher |
Copernicus Publications |
publishDate |
2016 |
url |
https://doi.org/10.5194/amt-9-1859-2016 https://doaj.org/article/e97e1094c99e4da4bed572f37d928b33 |
genre |
EISCAT |
genre_facet |
EISCAT |
op_source |
Atmospheric Measurement Techniques, Vol 9, Iss 4, Pp 1859-1869 (2016) |
op_relation |
http://www.atmos-meas-tech.net/9/1859/2016/amt-9-1859-2016.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 1867-1381 1867-8548 doi:10.5194/amt-9-1859-2016 https://doaj.org/article/e97e1094c99e4da4bed572f37d928b33 |
op_doi |
https://doi.org/10.5194/amt-9-1859-2016 |
container_title |
Atmospheric Measurement Techniques |
container_volume |
9 |
container_issue |
4 |
container_start_page |
1859 |
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1869 |
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1766400139038031872 |