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The short-term prediction of Polar Motion using the combination of SSA and the Multivariate Multi-step 1D- Convolutional Neural Networks with Multioutput strategy

Authors

Guessoum,  S.
External Organizations;

/persons/resource/sanbel

Belda,  Santiago
1.1 Space Geodetic Techniques, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Ferrandiz,  J. M.
External Organizations;

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Modiri,  Sadegh
1.1 Space Geodetic Techniques, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/sdhar

Dhar,  Sujata
1.1 Space Geodetic Techniques, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/rob

Heinkelmann,  R.
1.1 Space Geodetic Techniques, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/schuh

Schuh,  H.
1.1 Space Geodetic Techniques, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/raut

Raut,  Shrishail
1.1 Space Geodetic Techniques, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Citation

Guessoum, S., Belda, S., Ferrandiz, J. M., Modiri, S., Dhar, S., Heinkelmann, R., Schuh, H., Raut, S. (2023): The short-term prediction of Polar Motion using the combination of SSA and the Multivariate Multi-step 1D- Convolutional Neural Networks with Multioutput strategy - Abstracts, 2nd Earth Orientation Parameters Prediction Comparison Campaign (2nd EOP PCC) Workshop No. 2 (Alicante, Spain and Online 2023).


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5016566
Abstract
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