M.Sc. Kerstin Schulze
Scientific staff member
© Schulze
Biography
M.Sc. Kerstin Schulze joined the Institute for Geodesy and Geoinformation (IGG), Astronomical, Physical and mathematical Geodesy Group at the University of Bonn, in 2017. She assimilates multiple data sets into a global hydrological model and also applies joint calibration and data assimilation.
Education
- M.Sc. Geodesy and Geoinformation, University of Bonn, Bonn, Germany (2015-2017)
- B.Sc. Geodesy and Geoinformation, University of Bonn, Bonn, Germany (2012-2015)
Employment History
- Since Dez. 2017 Research Associate at the Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany.
- 2013 – 2017 Research assistant at the Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany.
Research Interests
- Assimilation of satellite and in-situ data into hydrological models
- Joint assimilation of multiple data sets
- Joint calibration and data assimilation
Projects
Teaching
- 2018-2021: Astronomische, Physikalische, und Mathematische Geodäsie; in B.Sc. "Geodäsie und Geoinformation"
Functions (Selected)
- Coordination of GlobalCDA, a project funded by the DFG
Publications
- Döll, P., Hasan, H. M., Schulze, K., Gerdener, H., Börger, L., Shadkam, S., ... & Kusche, J. (2023). Multi-variable parameter estimation for a global hydrological model: Comparison and evaluation of three ensemble-based calibration methods for the Mississippi River basin. Hydrology and Earth System Sciences Discussions, 2023, 1-54. https://doi.org/10.5194/hess-2023-18
- Gerdener, H., Kusche, J., Schulze, K., Doell, P., Klos, A. (2023) The global land water storage data set release 2 (GLWS2.0) derived via assimilating GRACE and GRACE-FO data into a global hydrological model. J Geod 97, 73. https://doi.org/10.1007/s00190-023-01763-9.
- Gerdener, H., Schulze, K., Kusche, J.(2023) GLWS 2.0: A global product that provides total water storage anomalies, groundwater, soil moisture, and surface water with a spatial resolution of 0.5∘ from 2003 to 2019. PANGAEA, https://doi.org/10.1594/PANGAEA.954742.
- Klos, A., Kusche, J., Leszczuk, G., Gerdener, H., Schulze, K., Lenczuk, A., & Bogusz, J. (2023) Introducing the Idea of Classifying Sets of Permanent GNSS Stations as Benchmarks for Hydrogeodesy. Journal of Geophysical Research: Solid Earth, e2023JB026988. https://doi.org/10.1029/2023JB026988.
- Gerdener, H., Kusche, J., Schulze, K., Ghazaryan, G., Dubovyk, O. (2022) Revising precipitation – water storages – vegetation signatures with GRACE-based data assimilation. Journal of Hydrology, Volume 612, Part A, September 2022, 128096, https://doi.org/10.1016/j.jhydrol.2022.128096.
- Deggim, S., Eicker, A., Schawohl, L., Gerdener, H., Schulze, K., Engels, O., Kusche, J., Saraswati, A. T., van Dam, T., Ellenbeck, L., Dettmering, D., Schwatke, C., Mayr, S., Klein, I., and Longuevergne, L. (2021) RECOG RL01: correcting GRACE total water storage estimates for global lakes/reservoirs and earthquakes, Earth Syst. Sci. Data, 13, 2227–2244, doi.org/10.5194/essd-13-2227-2021.
- Li, F., Kusche, J., Rietbroek, R., Wang, Z., Forootan, E., Schulze, K., and Lück, C. (2020) Comparison of Data‐driven Techniques to Reconstruct (1992‐2002) and Predict (2017‐2018) GRACE‐like Gridded Total Water Storage Changes using Climate Inputs. Water Resources Research, 56 (5), e2019WR026551, https://doi.org/10.1029/2019WR026551.
- Schulze, K. (2017) Methods for the temporal disaggregation of update increments for the assimilation of GRACE data into hydrological models. Master thesis, University of Bonn.
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Schulze, K. (2015) Calibration of a simple hydrological model against river discharge and GRACE data for the Mississippi Basin. Bachelor thesis, University of Bonn.
