Mapping ionospheric backscatter measured by the SuperDARN HF radars - Part 2: Assessing SuperDARN virtual height models
The Super Dual Auroral Radar Network (SuperDARN) network of HF coherent backscatter radars form a unique global diagnostic of large-scale ionospheric and magnetospheric dynamics in the northern and southern hemispheres. Currently the ground projections of the HF radar returns are routinely determine...
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European Geosciences Union
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Online Access: | http://nora.nerc.ac.uk/id/eprint/3088/ https://nora.nerc.ac.uk/id/eprint/3088/1/angeo-26-843-2008.pdf https://doi.org/10.5194/angeo-26-843-2008 |
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ftnerc:oai:nora.nerc.ac.uk:3088 2024-06-09T07:49:59+00:00 Mapping ionospheric backscatter measured by the SuperDARN HF radars - Part 2: Assessing SuperDARN virtual height models Yeoman, T. K. Chisham, G. Baddeley, L. J. Dhillon, R. S. Karhunen, T. J. T. Robinson, T. R. Senior, A. Wright, D. M. 2008 text http://nora.nerc.ac.uk/id/eprint/3088/ https://nora.nerc.ac.uk/id/eprint/3088/1/angeo-26-843-2008.pdf https://doi.org/10.5194/angeo-26-843-2008 en eng European Geosciences Union https://nora.nerc.ac.uk/id/eprint/3088/1/angeo-26-843-2008.pdf Yeoman, T. K.; Chisham, G. orcid:0000-0003-1151-5934 Baddeley, L. J.; Dhillon, R. S.; Karhunen, T. J. T.; Robinson, T. R.; Senior, A.; Wright, D. M. 2008 Mapping ionospheric backscatter measured by the SuperDARN HF radars - Part 2: Assessing SuperDARN virtual height models. Annales Geophysicae, 26 (4). 843-852. https://doi.org/10.5194/angeo-26-843-2008 <https://doi.org/10.5194/angeo-26-843-2008> Atmospheric Sciences Space Sciences Publication - Article PeerReviewed 2008 ftnerc https://doi.org/10.5194/angeo-26-843-2008 2024-05-15T08:44:37Z The Super Dual Auroral Radar Network (SuperDARN) network of HF coherent backscatter radars form a unique global diagnostic of large-scale ionospheric and magnetospheric dynamics in the northern and southern hemispheres. Currently the ground projections of the HF radar returns are routinely determined by a simple rangefinding algorithm, which takes no account of the prevailing, or indeed the average, HF propagation conditions. This is in spite of the fact that both direct E- and F-region backscatter and 1½-hop E- and F-region backscatter are commonly used in geophysical interpretation of the data. In a companion paper, Chisham et al. (2008) have suggested a new virtual height model for SuperDARN, based on average measured propagation paths. Over shorter propagation paths the existing rangefinding algorithm is adequate, but mapping errors become significant for longer paths where the roundness of the Earth becomes important, and a correct assumption of virtual height becomes more difficult. The SuperDARN radar at Hankasalmi has a propagation path to high power HF ionospheric modification facilities at both Tromsø on a ½–hop path and SPEAR on a 1½–hop path. The SuperDARN radar at Þykkvibær has propagation paths to both facilities over 1½–hop paths. These paths provide an opportunity to quantitatively test the available SuperDARN virtual height models. It is also possible to use HF radar backscatter which has been artificially induced by the ionospheric heaters as an accurate calibration point for the Hankasalmi elevation angle of arrival data, providing a range correction algorithm for the SuperDARN radars which directly uses elevation angle. These developments enable the accurate mappings of the SuperDARN electric field measurements which are required for the growing number of multi-instrument studies of the Earth’s ionosphere and magnetosphere. Article in Journal/Newspaper Tromsø Natural Environment Research Council: NERC Open Research Archive Tromsø Annales Geophysicae 26 4 843 852 |
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Open Polar |
collection |
Natural Environment Research Council: NERC Open Research Archive |
op_collection_id |
ftnerc |
language |
English |
topic |
Atmospheric Sciences Space Sciences |
spellingShingle |
Atmospheric Sciences Space Sciences Yeoman, T. K. Chisham, G. Baddeley, L. J. Dhillon, R. S. Karhunen, T. J. T. Robinson, T. R. Senior, A. Wright, D. M. Mapping ionospheric backscatter measured by the SuperDARN HF radars - Part 2: Assessing SuperDARN virtual height models |
topic_facet |
Atmospheric Sciences Space Sciences |
description |
The Super Dual Auroral Radar Network (SuperDARN) network of HF coherent backscatter radars form a unique global diagnostic of large-scale ionospheric and magnetospheric dynamics in the northern and southern hemispheres. Currently the ground projections of the HF radar returns are routinely determined by a simple rangefinding algorithm, which takes no account of the prevailing, or indeed the average, HF propagation conditions. This is in spite of the fact that both direct E- and F-region backscatter and 1½-hop E- and F-region backscatter are commonly used in geophysical interpretation of the data. In a companion paper, Chisham et al. (2008) have suggested a new virtual height model for SuperDARN, based on average measured propagation paths. Over shorter propagation paths the existing rangefinding algorithm is adequate, but mapping errors become significant for longer paths where the roundness of the Earth becomes important, and a correct assumption of virtual height becomes more difficult. The SuperDARN radar at Hankasalmi has a propagation path to high power HF ionospheric modification facilities at both Tromsø on a ½–hop path and SPEAR on a 1½–hop path. The SuperDARN radar at Þykkvibær has propagation paths to both facilities over 1½–hop paths. These paths provide an opportunity to quantitatively test the available SuperDARN virtual height models. It is also possible to use HF radar backscatter which has been artificially induced by the ionospheric heaters as an accurate calibration point for the Hankasalmi elevation angle of arrival data, providing a range correction algorithm for the SuperDARN radars which directly uses elevation angle. These developments enable the accurate mappings of the SuperDARN electric field measurements which are required for the growing number of multi-instrument studies of the Earth’s ionosphere and magnetosphere. |
format |
Article in Journal/Newspaper |
author |
Yeoman, T. K. Chisham, G. Baddeley, L. J. Dhillon, R. S. Karhunen, T. J. T. Robinson, T. R. Senior, A. Wright, D. M. |
author_facet |
Yeoman, T. K. Chisham, G. Baddeley, L. J. Dhillon, R. S. Karhunen, T. J. T. Robinson, T. R. Senior, A. Wright, D. M. |
author_sort |
Yeoman, T. K. |
title |
Mapping ionospheric backscatter measured by the SuperDARN HF radars - Part 2: Assessing SuperDARN virtual height models |
title_short |
Mapping ionospheric backscatter measured by the SuperDARN HF radars - Part 2: Assessing SuperDARN virtual height models |
title_full |
Mapping ionospheric backscatter measured by the SuperDARN HF radars - Part 2: Assessing SuperDARN virtual height models |
title_fullStr |
Mapping ionospheric backscatter measured by the SuperDARN HF radars - Part 2: Assessing SuperDARN virtual height models |
title_full_unstemmed |
Mapping ionospheric backscatter measured by the SuperDARN HF radars - Part 2: Assessing SuperDARN virtual height models |
title_sort |
mapping ionospheric backscatter measured by the superdarn hf radars - part 2: assessing superdarn virtual height models |
publisher |
European Geosciences Union |
publishDate |
2008 |
url |
http://nora.nerc.ac.uk/id/eprint/3088/ https://nora.nerc.ac.uk/id/eprint/3088/1/angeo-26-843-2008.pdf https://doi.org/10.5194/angeo-26-843-2008 |
geographic |
Tromsø |
geographic_facet |
Tromsø |
genre |
Tromsø |
genre_facet |
Tromsø |
op_relation |
https://nora.nerc.ac.uk/id/eprint/3088/1/angeo-26-843-2008.pdf Yeoman, T. K.; Chisham, G. orcid:0000-0003-1151-5934 Baddeley, L. J.; Dhillon, R. S.; Karhunen, T. J. T.; Robinson, T. R.; Senior, A.; Wright, D. M. 2008 Mapping ionospheric backscatter measured by the SuperDARN HF radars - Part 2: Assessing SuperDARN virtual height models. Annales Geophysicae, 26 (4). 843-852. https://doi.org/10.5194/angeo-26-843-2008 <https://doi.org/10.5194/angeo-26-843-2008> |
op_doi |
https://doi.org/10.5194/angeo-26-843-2008 |
container_title |
Annales Geophysicae |
container_volume |
26 |
container_issue |
4 |
container_start_page |
843 |
op_container_end_page |
852 |
_version_ |
1801382941247406080 |