Dr.-Ing. Lara Börger

Scientific Staff Member

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© Börger

Biography

Dr.-Ing. Lara Börger joined the Institute for Geodesy and Geoinformation (IGG), Astronomical, Physical and mathematical Geodesy Group at the University of Bonn, in 2019.


  • Ph. D. (Thesis title: Climate-driven and intrinsic oceanic excitation of low-frequency polar motion variability), University of Bonn, Germany, 2026. 
  • M.Sc. (Thesis title: Application of realistic ray-tracing algorithms in non-gravitational force modelling), University of Bonn, Germany, 2021.
  • B.Sc. (Thesis title: Berechnung von Planetenephemeriden durch simultane Bahnintegration - Entwicklung eines Demonstrationstools), University of Bonn, Germany, 2019.
  • Since 2026: Postdoctoral researcher at the Institute of Geodesy and Geoinformation, the Group for Astronomical, Physical and Mathematical Geodesy, University of Bonn, Germany.

  • 2021-2026: PhD (Dr.-Ing) at the Institute of Geodesy and Geoinformation, Group for Geodetic Earth System Science, University of Bonn, Germany.

  • 2019-2021: Student assistant, Group for Astronomical, Physical and Mathematical Geodesy, University of Bonn, Germany. 

  • Earth rotation variations.
  • Ocean dynamics.
  • Satellite geodesy.

12/2021–11/2025: DISCLOSE (Disentangling Climatic Signals in Earth Orientation Parameters).

  • MGE01: 3D Coordinate Systems.
  • GES01: Satellite Geodesy and Earth System.
  • Supervision of Bachelor and Master theses.



  1. Börger, L. (2026). Climate-driven and intrinsic oceanic excitation of low-frequency polar motion variability [PhD thesis]. Rheinische Friedrich-Wilhelms-Universität Bonn. https://doi.org/10.48565/bonndoc-849.

  2. Gentner, L. Q., Gou, J., Tourian, M., Börger, L., Sneeuw, N., & Soja, B. (2026). DeepRec: Global terrestrial water storage reconstruction since 1941 using spatiotemporal-aware deep learning model. Journal of Geophysical Research: Machine Learning and Computation, 3, e2025JH000889. https://doi.org/10.1029/2025JH000889.

  3. Börger, L., Lentge, K. M., Schindelegger, M., & Dobslaw, H. (2025). ENSO modulates the oceanic excitation of polar motion. Geophysical Research Letters, 52, e2025GL118576. https://doi.org/10.1029/2025GL118576.

  4. Liu, L., Schindelegger, M., Börger, L., Foth, J., & Gou, J. (2025). Assessment of ocean bottom pressure variations in CMIP6 HighResMIP simulations. Ocean Science, 21, 2149-2167. https://doi.org/10.5194/os-21-2149-2025.

  5. Gou, J., Börger, L., Schindelegger, M., Soja, B. (2025). Downscaling GRACE-derived ocean bottom pressure anomalies using self-supervised data fusion. Journal of Geodesy, 99, 19. https://doi.org/10.1007/s00190-025-01943-9.

  6. Börger, L., Schindelegger, M., Zhao, M., Ponte, R. M., Löcher, A., Uebbing, B., Molines, J.-M., Penduff, T. (2025). Chaotic oceanic excitation of low-frequency polar motion variability. Earth System Dynamics, 16, 75–90. https://doi.org/10.5194/esd-16-75-2025.

  7. Kiani Shahvandi, M., Schindelegger, M., Börger, L., Mishra, S., Soja, B. (2024). Revisiting the excitation of free core nutation. Journal of Geophysical Research: Solid Earth. 129, e2024JB029583. https://doi.org/10.1029/2024JB029583.

  8. Döll, P., Hasan, H. M. M., Schulze, K., Gerdener, H., Börger, L., Shadkam, S., Ackermann, S., Hosseini-Moghari, S.-M., Müller Schmied, H., Güntner, A., & Kusche, J. (2024). Leveraging multi-variable observations to reduce and quantify the output uncertainty of a global hydrological model: evaluation of three ensemble-based approaches for the Mississippi River basin. Hydrology and Earth System Sciences, 28, 2259-2295. https://doi.org/10.5194/hess-28-2259-2024

  9. Börger, L., Schindelegger, M., Dobslaw, H., Salstein, D. (2023). Are ocean reanalyses useful for Earth rotation research? Earth and Space Science, 10, e2022EA002700. https://doi.org/10.1029/2022EA002700.

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Dr.-Ing. Lara Börger

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