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A Comparison of Radial Diffusion Coefficients in 1‐D and 3‐D Long‐Term Radiation Belt Simulations

Urheber*innen
/persons/resource/adrozdov

Drozdov,  A.
0 Pre-GFZ, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
PAGER project, External Organizations;

/persons/resource/haylis

Allison,  Hayley J.
2.7 Space Physics and Space Weather, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
PAGER project, External Organizations;

/persons/resource/yshprits

SHPRITS,  YURI
2.7 Space Physics and Space Weather, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
PAGER project, External Organizations;

Elkington,  S.R.
PAGER project, External Organizations;

/persons/resource/naseev

Aseev,  N.
2.7 Space Physics and Space Weather, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
PAGER project, External Organizations;

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5007452.pdf
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Zitation

Drozdov, A., Allison, H. J., SHPRITS, Y., Elkington, S., Aseev, N. (2021): A Comparison of Radial Diffusion Coefficients in 1‐D and 3‐D Long‐Term Radiation Belt Simulations. - Journal of Geophysical Research: Space Physics, 126, 8, e2020JA028707.
https://doi.org/10.1029/2020JA028707


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5007452
Zusammenfassung
Radial diffusion is one of the dominant physical mechanisms driving acceleration and loss of radiation belt electrons. A number of parameterizations for radial diffusion coefficients have been developed, each differing in the dataset used. Here, we investigate the performance of different parameterizations by Brautigam and Albert (2000), Brautigam et al. (2005), Ozeke et al. (2014), Ali et al. (2015); Ali et al. (2016); Ali (2016), and Liu et al. (2016) on long-term radiation belt modeling using the Versatile Electron Radiation Belt (VERB) code, and compare the results to Van Allen Probes observations. First, 1-D radial diffusion simulations are performed, isolating the contribution of solely radial diffusion. We then take into account effects of local acceleration and loss showing additional 3-D simulations, including diffusion across pitch-angle, energy, and mixed diffusion. For the L* range studied, the difference between simulations with Brautigam and Albert (2000), Ozeke et al. (2014), and Liu et al. (2016) parameterizations is shown to be small, with Brautigam and Albert (2000) offering the smallest averaged (across multiple energies) absolute normalized difference with observations. Using the Ali et al. (2016) parameterization tended to result in a lower flux than both the observations and the VERB simulations using the other coefficients. We find that the 3-D simulations are less sensitive to the radial diffusion coefficient chosen than the 1-D simulations, suggesting that for 3-D radiation belt models, a similar result is likely to be achieved, regardless of whether Brautigam and Albert (2000), Ozeke et al. (2014), and Liu et al. (2016) parameterizations are used.