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IERS Message No. 527                                   February 27, 2025
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IAG SA 2025-J02-3: Machine Learning for EOP and Gravity Field Assessment


Dear colleagues,

We are pleased to announce the session "J02-3: Decoding Earth's
Dynamics: Machine Learning Frontiers in EOP and Gravity Field
Assessment" at the IAG Scientific Assembly 2025, taking place in Rimini,
Italy (September 1-5, 2025).

This session will explore the application of Machine Learning (ML)
techniques to enhance the accuracy, resolution, and predictive
capabilities of Earth Orientation Parameters (EOP) and gravity field
models. These parameters are fundamental for understanding Earth's
dynamics, with implications for satellite navigation, climate science,
and deep-space exploration. We welcome contributions on ML-based
approaches for:

- Improving EOP prediction, including analyses of geophysical and
  meteorological influences. 
- Downscaling, reconstructing, or forecasting GRACE/GRACE-FO gravity
  field data. 
- Early warning systems for droughts and floods, and closing the sea
  level budget.
- Integrating gravity data into land surface or hydrological models
  using physics-informed ML techniques.
- Examining the broader implications of ML advancements in geodesy,
  particularly in relation to climate change and anthropogenic
  influences.

We invite researchers working at the intersection of geodesy, AI, and
Earth system sciences to submit their abstracts and join us in fostering
interdisciplinary collaboration.

Abstract Submission Deadline: March 15, 2025 More Information:
IAG Scientific Assembly 2025 Website: 
https://eventi.unibo.it/iag2025/scientific-program/
j02-artificial-intelligence-and-machine-learning-in-geodesy.pdf 

We look forward to your contributions and engaging discussions at
IAG 2025!

Best regards,
Sadegh Modiri, Santiago Belda, Fupeng Li,
Justyna Sliwinska-Bronowicz, Zhangli Sun
(Conveners of Session J02-3)


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