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An updated model providing long-term data sets of energetic electron precipitation, including zonal dependence

van de Kamp, M.; Rodger, C.J.; Seppälä, A.; Clilverd, Mark A. ORCID: https://orcid.org/0000-0002-7388-1529; Verronen, P.T.. 2018 An updated model providing long-term data sets of energetic electron precipitation, including zonal dependence. Journal of Geophysical Research: Atmospheres, 123 (17). 9891-9915. https://doi.org/10.1029/2017JD028253

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Abstract/Summary

In this study 30‐ to 1,000‐keV energetic electron precipitation (EEP) data from low Earth orbiting National Oceanic and Atmospheric Administration and MetOp Polar Orbiting Environmental Satellites were processed in two improved ways, compared to previous studies. First, all noise‐affected data were more carefully removed, to provide more realistic representations of low fluxes during geomagnetically quiet times. Second, the data were analyzed dependent on magnetic local time (MLT), which is an important factor affecting precipitation flux characteristics. We developed a refined zonally averaged EEP model, and a new model dependent on MLT, which both provide better modeling of low fluxes during quiet times. The models provide the EEP spectrum assuming a power law gradient. Using the geomagnetic index Ap with a time resolution of 1 day, the spectral parameters are provided as functions of the L shell value relative to the plasmapause. Results from the models compare well with EEP observations over the period 1998–2012. Analysis of the MLT‐dependent data finds that during magnetically quiet times, the EEP flux concentrates around local midnight. As disturbance levels increase, the flux increases at all MLT. During disturbed times, the flux is strongest in the dawn sector and weakest in the late afternoon sector. The MLT‐dependent model emulates this behavior. The results of the models can be used to produce ionization rate data sets over any time period for which the geomagnetic Ap index is available (recorded or predicted). This ionization rate data set will enable simulations of EEP impacts on the atmosphere and climate with realistic EEP variability.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1029/2017JD028253
ISSN: 2169897X
Additional Keywords: energetic electron precipitation, magnetic local time, ionization, solar particle forcing, synthesized data set
Date made live: 31 Oct 2018 08:26 +0 (UTC)
URI: http://nora.nerc.ac.uk/id/eprint/521402

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