Could AI contribute to improve the quality of detection ionospheric 
irregularities in radio occultation profiles?

Arras, Christina; Kepkar, Ankur; Wickert, J.

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Could AI contribute to improve the quality of detection ionospheric irregularities in radio occultation profiles?

Arras, C., Kepkar, A., Wickert, J. (2022): Could AI contribute to improve the quality of detection ionospheric irregularities in radio occultation profiles? - Poster presented at the D4G: 1st Workshop on Data Science for GNSS Remote Sensing (Potsdam 2022)

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5013315 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5013315_1

Genre: Poster

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Creators:
Arras, Christina¹, Author
Kepkar, Ankur¹, Author
Wickert, J.¹, Author

Affiliations:
11.1 Space Geodetic Techniques, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146025

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Dates: Finally published : 2022

Publication Status: Finally published

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Identifiers: GFZPOF: p4 T1 Atmosphere

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Title: D4G: 1st Workshop on Data Science for GNSS Remote Sensing

Place of Event: Potsdam

Start-/End Date: 2022-06-13 - 2022-06-15

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