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IERS Message No. 523                                   February 20, 2025
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IAG SA - G04-3: Monitoring and Modelling of EOPs Across Temporal Scales


Dear colleagues,

we are happy to announce the session "Monitoring and Modelling of Earth
Orientation Parameters Across Temporal Scales" at this year's IAG
Scientific Assembly in Rimini (1-5 September, 2025).
The session is organized within Symposium G04 - Earth Rotation and
Geodynamics. We cordially invite you to submit your abstracts until
March 15, 2025. Please find the session description below and more
details about IAG Scientific Assembly 2025 on the conference website:
https://eventi.unibo.it/iag2025

Best regards,
Henryk Dobslaw
Sigrid Boehm
Sadegh Modiri
Jolanta Nastula
Chengli Huang

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G04-3: Monitoring and Modelling of Earth Orientation Parameters Across
Temporal Scales

Accurate knowledge about the orientation of the solid Earth with respect
to inertial space is not only crucial for operational purposes related
to satellite-based precise positioning and navigation on Earth, ground-
based astronomy, and communication to deep-space probes but reveals also
important insights about the dynamics of the geophysical fluid layers
atmosphere, oceans, and terrestrial hydrosphere, which continuously
exchange angular momentum with the solid Earth, where much of the
geodetic infrastructure is attached to. Angular momentum exchange and
mass redistributions in the Earth system cause slight variations in
polar motion, UT1 and length-of-day, and precession/nutation, where
near- and sub-diurnal atmospheric and oceanic tides are increasingly
recognized as important contributors. This session welcomes
contributions concerned with 
(i) theoretical and/or numerical modelling of the rotational response of
a non-spherical Earth body to both internal and external forces;
(ii) refined Earth Orientation Parameter (EOP) time-series based on
consistent combinations of geodetic observations that vary in accuracy
and precision throughout the decades;
(iii) the interpretation of EOP in view of the delayed response of the
Earth system to anthropogenic actions and global warming; and
(iv) the reliable prediction and forecasting of EOP variations.
We particularly invite studies utilizing advanced analysis techniques
including machine learning to enhance both understanding and prediction
of Earth orientation changes at time-scales from hours to several months
into the future.


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