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

Authors
/persons/resource/viehweg

Arras,  Christina
1.1 Space Geodetic Techniques, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/kepkar

Kepkar,  Ankur
1.1 Space Geodetic Techniques, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/wickert

Wickert,  J.
1.1 Space Geodetic Techniques, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Citation

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)


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5013315
Abstract
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