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  Grey-box modeling of the magnetotail

Sitnov, M., Arnold, H., Stephens, G., Sorathia, K., Merkin, V. (2023): Grey-box modeling of the magnetotail, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-0939

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5016532 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5016532_1
Genre: Conference Paper

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Sitnov, Mikhail1, Author
Arnold, Harry1, Author
Stephens, Grant1, Author
Sorathia, Kareem1, Author
Merkin, Viacheslav1, Author
Affiliations:
1IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations, ou_5011304              

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 Abstract: Earth’s magnetotail is a huge reservoir where the energy of the solar wind-magnetosphere interaction is accumulated and then suddenly released during substorms. It is also important as the largest space region available for in-situ observations of key processes in collisionless plasmas, such as magnetic reconnection. Yet until recently, the rarity and sparsity of observations made the first-principles theory and simulations of the magnetotail very difficult to verify with data, or even use observations to guide theoretical models. The situation has changed due to implementation of the machine learning methods, and in particular, mining multi-decade and multi-mission arrays of spaceborne magnetometer data. Here we show how mining 25+ years of such data allows one to reconstruct the magnetotail during substorms. The reconstruction turns out to be so accurate that it captures not only stretching and dipolarization of the tail during a substorm but it also pinpoints the location of the X- and O-lines associated with the substorm reconnection. It is seen from the comparison of their location with a 4-year long collection of ion diffusion regions provided by the Magnetospheric Multiscale mission. This empirical or “black-box” information can then be merged with global MHD simulations (“white-box models”) in the form of empirical resistivity maps whereby forming a “grey-box model”. It can be further advanced by adding the empirical information on the location and dynamics of thin ion-scale current sheets, key structures providing the energy accumulation in the tail, as well as their white-box simulations in kinetic particle-in-cell codes.

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Language(s): eng - English
 Dates: 2023
 Publication Status: Finally published
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 Rev. Type: -
 Identifiers: DOI: 10.57757/IUGG23-0939
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Title: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Place of Event: Berlin
Start-/End Date: 2023-07-11 - 2023-07-20

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Title: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Source Genre: Proceedings
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Publ. Info: Potsdam : GFZ German Research Centre for Geosciences
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