Prediction of Earth Orientation Parameters

Prediction of length of day, dUT1, polar motion, and celestial pole offsets

In this project, we provide the predictions of Earth Orientation Parameters (EOPs) with different forecasting horizons, up to one year ahead. The predicted EOPs include

  1. length of day
  2. dUT1 (difference between the universal time and universal coordinated time)
  3. polar motion
  4. celestial pole offsets (related to precession and nutation)

The methodologies, descriptions, and predictions are provided operationally on ETH Zürich Geodetic Prediction Center.

An example of the length of day predictions made by our various algorithms and their comaprisons.

References

2023

  1. JGR: Solid Earth
    Geophysically‐informed machine learning for improving rapid estimation and short‐term prediction of Earth orientation parameters
    M. Kiani Shahvandi, R. Dill, H. Dobslaw, and 5 more authors
    Journal of Geophysical Research: Solid Earth, Sep 2023
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  2. J. Geod
    Ultra-short-term prediction of LOD using LSTM neural networks
    J. Gou, M. Kiani Shahvandi, R. Hohensinn, and 1 more author
    Journal of Geodesy, May 2023
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2022

  1. JGR: Solid Earth
    Neural ODE differential learning and its application in polar motion prediction
    M. Kiani Shahvandi, M. Schartner, and B. Soja
    Journal of Geophysical Research: Solid Earth, Nov 2022
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  2. Adv. in. Spac. Res
    Inclusion of data uncertainty in machine learning and its application in geodetic data science, with case studies for the prediction of Earth orientation parameters and GNSS station coordinate time series
    M. Kiani Shahvandi, and B. Soja
    Advances in Space Research, Aug 2022
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