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...
Published in: | Annales Geophysicae |
---|---|
Main Authors: | , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2008
|
Subjects: | |
Online Access: | https://doi.org/10.5194/angeo-26-843-2008 https://doaj.org/article/0407f49319bf46829072f3b78a32e7cf |
id |
ftdoajarticles:oai:doaj.org/article:0407f49319bf46829072f3b78a32e7cf |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:0407f49319bf46829072f3b78a32e7cf 2023-05-15T18:34:53+02:00 Mapping ionospheric backscatter measured by the SuperDARN HF radars – Part 2: Assessing SuperDARN virtual height models T. K. Yeoman G. Chisham L. J. Baddeley R. S. Dhillon T. J. T. Karhunen T. R. Robinson A. Senior D. M. Wright 2008-05-01T00:00:00Z https://doi.org/10.5194/angeo-26-843-2008 https://doaj.org/article/0407f49319bf46829072f3b78a32e7cf EN eng Copernicus Publications https://www.ann-geophys.net/26/843/2008/angeo-26-843-2008.pdf https://doaj.org/toc/0992-7689 https://doaj.org/toc/1432-0576 doi:10.5194/angeo-26-843-2008 0992-7689 1432-0576 https://doaj.org/article/0407f49319bf46829072f3b78a32e7cf Annales Geophysicae, Vol 26, Pp 843-852 (2008) Science Q Physics QC1-999 Geophysics. Cosmic physics QC801-809 article 2008 ftdoajarticles https://doi.org/10.5194/angeo-26-843-2008 2022-12-31T11:38:38Z 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 Þykkvibǽr 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 Directory of Open Access Journals: DOAJ Articles Tromsø Annales Geophysicae 26 4 843 852 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Science Q Physics QC1-999 Geophysics. Cosmic physics QC801-809 |
spellingShingle |
Science Q Physics QC1-999 Geophysics. Cosmic physics QC801-809 T. K. Yeoman G. Chisham L. J. Baddeley R. S. Dhillon T. J. T. Karhunen T. R. Robinson A. Senior D. M. Wright Mapping ionospheric backscatter measured by the SuperDARN HF radars – Part 2: Assessing SuperDARN virtual height models |
topic_facet |
Science Q Physics QC1-999 Geophysics. Cosmic physics QC801-809 |
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 Þykkvibǽr 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 |
T. K. Yeoman G. Chisham L. J. Baddeley R. S. Dhillon T. J. T. Karhunen T. R. Robinson A. Senior D. M. Wright |
author_facet |
T. K. Yeoman G. Chisham L. J. Baddeley R. S. Dhillon T. J. T. Karhunen T. R. Robinson A. Senior D. M. Wright |
author_sort |
T. K. Yeoman |
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 |
Copernicus Publications |
publishDate |
2008 |
url |
https://doi.org/10.5194/angeo-26-843-2008 https://doaj.org/article/0407f49319bf46829072f3b78a32e7cf |
geographic |
Tromsø |
geographic_facet |
Tromsø |
genre |
Tromsø |
genre_facet |
Tromsø |
op_source |
Annales Geophysicae, Vol 26, Pp 843-852 (2008) |
op_relation |
https://www.ann-geophys.net/26/843/2008/angeo-26-843-2008.pdf https://doaj.org/toc/0992-7689 https://doaj.org/toc/1432-0576 doi:10.5194/angeo-26-843-2008 0992-7689 1432-0576 https://doaj.org/article/0407f49319bf46829072f3b78a32e7cf |
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_ |
1766219862344990720 |