Mostafa Kiani Shahvandi

Affiliations, Address, Contacts

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Department of Meteorology and Geophysics

Holaubek-Platz 2

1090 Wien, Austria

Hello and welcome to my website! I am Mostafa, a geoscientist passionate about Earth dynamics. I am currently a postdoctoral researcher in climate dynamics group, Department of Meteorology and Geophysics, University of Vienna, funded by a Swiss National Science Foundation mobility fellowship.

I develop and implement mathematical tools to investigate the Earth system. Broadly, my current main interest is in machine learning for weather and climate dynamics. For my current project, I use machine learning to model and predict the climate-induced mass redistribution in the Earth System and sea level change. Before that, I did a short postdoctral stint at ETH Zürich, where previously I obtained my PhD as well.

You can look at the full list of my publications on my Google Scholar, Researchgate, and ORCID profiles.

news

Jan 31, 2025 I am happy to announce that I have officially started my postdoc mobility fellowship on January 1, 2025!
Dec 10, 2024 My paper in Geophysical Research Letters has been chosen as the highlight of AGU! Please take a look here.
Oct 1, 2024 I am happy to say that I successfully defended my PhD thesis at ETH Zurich! Special thanks to my supervisor Dr. Benedikt Soja, to whom I will forever be grateful.
Jul 17, 2024 I am happy to say that my paper on length of day variations caused by the ongoing climate change is published online in the journal PNAS. Have a look here https://doi.org/10.1073/pnas.2406930121.
Jul 17, 2024 I am happy to say that my paper is published online in the journal Nature Geoscience. Have a look here https://doi.org/10.1038/s41561-024-01478-2.

latest posts

Apr 23, 2022 Displaying External Posts on Your al-folio Blog

selected publications

2025

  1. GRL
    Climate-induced polar motion: 1900–2100
    M. Kiani Shahvandi, and B. Soja
    Geophysical Research Letters, Mar 2025
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2024

  1. PNAS
    The increasingly dominant role of climate change on length of day variations
    M. Kiani Shahvandi, S. Adhikari, M. Dumberry, and 2 more authors
    Proceedings of the National Academy of Sciences, Jul 2024
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  2. Nat. Geosci
    Contributions of core, mantle and climatological processes to Earth’s polar motion
    M. Kiani Shahvandi, S. Adhikari, M. Dumberry, and 5 more authors
    Nature Geoscience, Jul 2024
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  3. GRL
    Length of day variations explained in a Bayesian framework
    M. Kiani Shahvandi, J. Noir, S. Mishra, and 1 more author
    Geophysical Research Letters, Nov 2024
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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. GJI
    Deep ensemble geophysics-informed neural networks for the prediction of celestial pole offsets
    M. Kiani Shahvandi, S. Belda, M. Karbon, and 2 more authors
    Geophysical Journal International, Nov 2023
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  3. 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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