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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: 2022
 Publication Status: Finally published
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: GFZPOF: p4 T1 Atmosphere
 Degree: -

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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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