cc48c65d-5395-45a1-a60a-3a4b987fd673 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 2021-11-02 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 Electron Electromagnetic Ion Cyclotron diffusion coefficients calculated from Van Allen Probe observations 2021-11-02 creation 2021-11-02 revision 2021-11-02 publication 2021-11-02 released 1.0 https://doi.org/10.5285/cc48c65d-5395-45a1-a60a-3a4b987fd673 doi GB/NERC/BAS/PDC/01580 https://data.bas.ac.uk/ NE/P01738X/1 award NE/R016445/1 award NE/R016038/1 award Please cite this item as: Ross, J., & Glauert, S. (2021). Electron Electromagnetic Ion Cyclotron diffusion coefficients calculated from Van Allen Probe observations (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/cc48c65d-5395-45a1-a60a-3a4b987fd673 Electromagnetic Ion Cyclotron (EMIC) wave are important for the losses of ultra-relativistic electrons from the Earth's radiation belts. In this work, statistical EMIC diffusion coefficients are calculated from Van Allen Probe A observations of EMIC waves from the entire mission. The diffusion coefficient calculations include the observed L* and activity dependent distributions in plasma density and wave spectra so that the wave-particle interactions modelled are representative of those in the radiation belts. These diffusion coefficients can be included into global radiation belt simulations such as the BAS radiation belt model. The study is published in Ross et al 2021, JGR: Space Physics. Funding was provided by National Environment Research Council Highlight Topic grant NE/P01738X/1 (Rad-Sat), National Environment Research Council grant NE/R016445/1 and NE/R016038/1. No credit. completed Ross, Johnathan British Antarctic Survey Researcher author Glauert, Sarah 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 > Plasma Waves EARTH SCIENCE > Sun-earth Interactions > Solar Energetic Particle Properties 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 Electromagnetic Ion Cyclotron Waves Radiation belts Van Allen Probes ultra-relativistic electrons theme 3.0 <= L* <= 5.5 Van Allen Radiation Belts 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 doi doi crossReference doi doi crossReference url url crossReference url url largerWorkCitation textTable eng utf8 climatologyMeteorologyAtmosphere -180.0 180.0 -90.0 90.0 2012-09-01 2019-10-31 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 application/x-hdf application/netcdf bytes 114995 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=cc48c65d-5395-45a1-a60a-3a4b987fd673 WWW:LINK-1.0-http--link Get Data Download data download bytes 114995 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=cc48c65d-5395-45a1-a60a-3a4b987fd673 WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: Data sources: * OMNIWeb (https://omniweb.gsfc.nasa.gov) for the geomagnetic and solar wind indices. * Van Allen Probes data the Level 3 and Level 4 EMFISIS magnetometer data obtained from http://emfisis.physics.uiowa.edu/data/index. Data collection: Code: BAS-RBM (Glauert, S. A., Horne, R. B., and Meredith, N. P. (2014), Three-dimensional electron radiation belt simulations using the BAS Radiation Belt Model with new diffusion models for chorus, plasmaspheric hiss, and lightning-generated whistlers, J. Geophys. Res. Space Physics, 119, 268- 289, doi:10.1002/2013JA019281.) Code: PADIE (Glauert, S. A., and Horne, R. B. (2005), Calculation of pitch angle and energy diffusion coefficients with the PADIE code, J. Geophys. Res., 110, A04206, doi:10.1029/2004JA010851.) Data quality: The magnetometer data using in the study are converted in to spectra following the procedure described in the accompanying paper. EMIC waves were identified in the resulting spectra using a visual identification and machine learning, the method excluded features that cannot reliably be identified as EMIC waves. asNeeded completed