Dr. Olga Engels (Didova)

Dr. Olga Engels (Didova)

Berufliches Profil

• 2017–2021 Wissenschaftliche Mitarbeiterin am Institut für Geodäsie und Geoinformation (Professur für Astronomische Physikalische und Mathematische Geodäsie), Universität Bonn.

• 2012–2016 Doktorandin am Institut Geoscience and Remote Sensing, Physical and Space Geodesy Group, Delft University of Technology.

• Sep–Dez 2015 Internship at Georgia Institute of Technology, Department of Aerospace Engineering, Atlanta, USA.

• 2009–2011 M.Sc. Geodäsie und Geoinformation, Universität Bonn.

• 2005–2009 B.Sc. Geodäsie und Geoinformation, Universität Bonn.

Forschungsinteressen

• Glacial isostatic adjustment from a data-driven approach.

• Stochastic modelling of geophysical signal constituents.
  

• Regional GRACE-solutions.
  

• Assimilating remote sensing data into a hydrological model.
  

• GRACE-based drought indicators.

Projekte

• DFG-GlobalCDA

Auszeichnungen

• 2019 Argelander Grant “Starter Kit Postdoc” of the „Argelander Program for Early-Career Researchers – Reaching for the Stars“ of the University of Bonn.

• 2017 Young Authors Award 2016, International Association of Geodesy.

• 2015 General Fall Meeting Student Travel Grant, American Geophysical Union.

Lehre

• Mass Transport Modeling and Monitoring.

• Betreuung von Bachelor- und Masterarbeiten.

• Astronomische Physikalische Geodäsie.

Publikationen

• Scheinert, M., Engels, O., Schrama, E.J.O., van der Wal, W., and Horwath, M. (2021).  Geodetic observations for constraining mantle processes in Antarctica. Geological Society, London, Memoirs, 56, https://doi.org/10.1144/M56-2021-22.

• 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.

• Gerdener, H., Engels, O., Kusche, J. (2020). A framework for deriving drought indicators from the Gravity Recovery and Climate Experiment (GRACE), Hydrol. Earth Syst. Sci., 24, 227–248, https://doi.org/10.5194/hess-24-227-2020.

• Engels, O. (2019) Stochastic Modelling of Geophysical Signal Constituents Within a Kalman Filter Framework. In: J.-P. Montillet and M. Bos (eds.): Geodetic Time Series Analysis in Earth Sciences. 2019, pp. 239-260, doi.org/10.1007/978-3-030-21718-1_8.

• Engels, O., Gunter, B.C., Riva, R.E.M., Klees, R. (2018) Separating geophysical signals using GRACE and high‐resolution data: a case study in Antarctica, Geophysical Research Letters, 45, doi.org/10.1029/2018GL079670.

• Farahani, H., Ditmar, P., Inacio, P., Didova, O., Gunter, B., Klees, R., Guo, X., Guo, J., Sun, Y., Liu, X. (2016) A high-resolution model of linear trend in mass variations from DMT-2: added value of accounting for coloured noise in GRACE data. Journal of Geodynamics, 103, pp. 12–25, doi.org/10.1016/j.jog.2016.10.005.

• Didova, O., Gunter, B., Riva, R., Klees, R., Roese-Koerner, L. (2016) An approach for estimating time-variable rates from geodetic time series. Journal of Geodesy, 90(11), pp 1207–1221, doi.org/10.1007/s00190-016-0918-5.

• Wolstencroft, M., King, M., Whitehouse, P., Bentley, M., Nield, G., King, E., McMillan, M., Shepherd, A., Barletta, V., Bordoni, A., Riva, R., Didova, O., Gunter, B. (2015) Uplift rates from a new high-density GPS network in Palmer Land indicate significant late Holocene ice loss in the southwestern Weddell Sea. Geophysical Journal International, 203(1), pp. 737–754, doi.org/10.1093/gji/ggv327

• Gunter, B., Didova, O., Riva, R., Ligtenberg, S., Lenaerts, J., King, M., van den Broeke, M., Urban, T. (2014) Empirical estimation of present-day antarctic glacial isostatic adjustment and ice mass change. The Cryosphere, 8(2), pp. 743–760, doi.org/10.5194/tc-8-743-2014.

• Forootan, E., Didova, O., Schumacher, M., Kusche, J., Elsaka, B. (2014) Comparisons of atmospheric mass variations derived from ECMWF reanalysis and operational fields, over 2003 to 2011. Journal of Geodesy, 88(5), pp. 503–514, doi.org/10.1007/s00190-014-0696-x.

• Forootan, E., Didova, O., Kusche, J., Löcher, A. (2013) Comparisons of Atmospheric Data and Reduction Methods for the Analysis of Satellite Gravimetry Observations. Journal of Geophysical Research - Solid Earth, 118(5), pp. 2382–2396, doi:10.1002/jgrb.50160.