8eedc594-730b-4aad-b9ce-827912320c3a eng utf8 dataset dataset NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom polardatacentre@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact 2023-01-23 ISO 19115 Geographic Information - Metadata ISO 19115:2003(E) European Petroleum Survey Group (EPSG) Geodetic Parameter Registry 2008-11-12 publication European Petroleum Survey Group EPSGadministrator@iogp.org https://www.epsg-registry.org/ EPSG Geodetic Parameter Dataset The EPSG Geodetic Parameter Dataset is a structured dataset of Coordinate Reference Systems and Coordinate Transformations, accessible through this online registry. information publisher urn:ogc:def:crs:EPSG::3031 6.18.3 Ionospheric vorticity across the northern hemisphere ionosphere determined from particular SuperDARN radar pairs - 2000 to 2005 inclusive 2023-01-23 creation 2023-01-23 revision 2023-01-23 publication 2023-01-23 released 1.0 https://doi.org/10.5285/8eedc594-730b-4aad-b9ce-827912320c3a doi GB/NERC/BAS/PDC/01710 https://data.bas.ac.uk/ NE/R016038/1 award Please cite this item as: Chisham, G. (2023). Ionospheric vorticity across the northern hemisphere ionosphere determined from particular SuperDARN radar pairs - 2000 to 2005 inclusive (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/8eedc594-730b-4aad-b9ce-827912320c3a The data set comprises ionospheric vorticity estimates determined from measurements of ionospheric velocity made by overlapping pairs of northern hemisphere radars in the Super Dual Auroral Radar Network (SuperDARN). The vorticity estimates are separated into data files for each pair of SuperDARN radars that contributed to the whole data set. These data cover large regions of the northern hemisphere polar ionosphere, and the locations of the vorticity estimates are presented in both geographic and Altitude-Adjusted Corrected GeoMagnetic (AACGM) co-ordinates. The data cover the interval from 2000 to 2005 inclusive. This work was funded by NERC grant reference NE/R016038/1. No credit. completed Chisham, Gareth British Antarctic Survey Researcher author NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact asNeeded completed EARTH SCIENCE > Sun-earth Interactions > Ionosphere/Magnetosphere Dynamics > Electric Fields/Electric Currents EARTH SCIENCE > Sun-earth Interactions > Ionosphere/Magnetosphere Dynamics > Magnetic Fields/Magnetic Currents EARTH SCIENCE > Sun-earth Interactions > Ionosphere/Magnetosphere Dynamics > Solar Wind EARTH SCIENCE > Spectral/Engineering > Radar EARTH SCIENCE > Sun-earth Interactions > Ionosphere/Magnetosphere Dynamics theme Global Change Master Directory (GCMD) Science Keywords 2026-01-27 publication 23 Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA) Greenbelt MD United States of America https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords Global Change Master Directory (GCMD) Keywords The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. information publisher SuperDARN ionosphere vorticity theme Canada, USA, Iceland and Northern Europe Ionosphere place Atmospheric conditions theme GEMET - INSPIRE themes, version 1.0 2021-01-06 revision otherRestrictions no limitations to public access otherRestrictions no limitations license Open Government Licence v3.0 otherRestrictions Data supplied under Open Government Licence v3.0 otherRestrictions No restrictions apply. doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference url url crossReference url url largerWorkCitation url url largerWorkCitation url url largerWorkCitation doi doi crossReference textTable eng utf8 climatologyMeteorologyAtmosphere environment geoscientificInformation -180.0 60.0 50.0 90.0 2000-01-01 2005-12-31 200.0 400.0 urn:ogc:def:crs:EPSG::5714 MSL height Not specific to any location or epoch. Hydrography. It is recommended that careful attention be paid to the contents of any data, and that the author be contacted with any questions regarding appropriate use. If you find any errors or omissions, please report them to polardatacentre@bas.ac.uk. NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information distributor text/plain bytes 4294967296 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=8eedc594-730b-4aad-b9ce-827912320c3a WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: The vorticity estimates are determined by taking SuperDARN line-of-sight velocity measurements of the ionospheric plasma flow around spatially closed loops determined by the geometry of the SuperDARN beam look directions. The vorticity at the centre of these closed loops is determined by summing the flow velocity around the loops, and dividing by the area, using Stokes' theorem. The ionospheric vorticity determination methodology is outlined in detail in Chisham et al. (2009). Data collection: The data set comprises vorticity estimates from the following overlapping pairs of SuperDARN radars: (1) Kodiak (a) and Prince George (b); (2) Saskatoon (t) and Kapuskasing (k); (3) Stokkseyri (w) and Goose Bay (g); (4) Finland (f) and Pykkvibaer (e). The raw data were analysed using the SuperDARN FitACF v2.5. The data were geolocation mapped using the Chisham et al. (2008) virtual height model. The vorticity locations are presented in both geographic and Altitude-Adjusted Corrected GeoMagnetic (AACGM) co-ordinates. Data quality: The overall quality of the vorticity estimates is highly dependent on the raw SuperDARN velocity data that provide the primary data source. These are generally of high quality with low errors. The quality of the vorticity estimates is mostly affected by missing velocity data around the closed loops. To mitigate this, the vorticity estimates are only determined when adequate SuperDARN velocity data covering all sides of the closed loop are available. See Chisham et al. (2009) for full details regarding data quality. asNeeded completed