Svenja Fischer

Mitarbeiterportrait

Dr. Svenja Fischer

IC 4/159

Telefon: +49 (0)234 32- 28961
Fax:+49 (0)234 32-14153

Svenja.Fischer [at] ruhr-uni-bochum.de



Research Interests

  • Flood Statistics
  • Flood Classification and Flood Typology
  • Stochastisch-Deterministische Flood Event Generators
  • Ordinal Patterns and spatial Clusters
  • Estimation Methods based on U-statistics under Long-Range Dependence
 

Professional career

  • 01.10.2008 - 01.07.2013: Ruhr-Universität Bochum, M.Sc mathematics
  • 01.10.2011 - 30.06.2013: Student research assistan at Ruhr-University Bochum and Technical University Dortmund (e.g. SFB 823)
  • 01.07.2013 - 31.09.2017: Research assistent in SFB 823 at the Institude of Hydrology,Water Resources Managment and Environmental Engineering at Ruhr-University Bochum
  • August 2017: PhD (Dr. rer. nat.) at Faculty of Statistics, Technical University Dortmund
  • 01.10.2017 - now: Post-Doc and coordination of DFG-project SPATE at the Institute of Hydrology, Water Resources Management and Environmental Engineering at Ruhr-University Bochum
  • since 2019: Vice-president and Early Career Representative of the International Commission of Statistical Hydrology (ICSH) of IAHS   

Publications

  • S. Fischer und A. Schumann: Comment on the paper of Willems, P.:Multidecadal oscillatory behaviour of Rainfall extremes in Europe. Climatic Change 120(4):931-944,2015
  • S.Fischer und A. Schumann: Statistische Probleme bei der Schätzung von Abflussspendendiagrammen,  Hydrologie und Wasserwirtschaft, 59, Heft 4, 2015
  • S.Fischer und A. Schumann: Robust flood statistics - comparison of Peak over Threshold approaches based on monthly maxima an TL-Moments, Hydrological Science Journal 61 (3), 457-470, 2016.
  • S. Fischer, R. Fried und M. Wendler: Multivariate Generalized Linear-Statistics of Short Range Dependent Data, Electoric Journal of Statistics, 10(1), 646-682, 2016.
  • S. Fischer, A. Schumann und M. Schulte: Characterisation of seasonal flood types according to timescales in mixed probability distributions, Journal of Hydrology 539, 38-56, 2016.
  • B. Gräler, S. Fischer und A. Schumann: Joint modeling of annual maximum precipitation across different duration levels, Discussion Paper SFB 823, 2016.
  • S. Fischer und A. Schumann: Berücksichtigung von Starkregenereignissen in der saisonalen Hochwasserstatistik mit Hilfe statistischer Mischungsmodelle, Hydrologie und Wasserbewirtschaftung 61 (1), 36-49, 2017.
  • S. Fischer, A. Schumann und A. Schnurr: Ordinal Pattern Dependence between Hydrological Time Series, Journal of Hydrology 548, 536-551, 2017.
  • A. Schumann and S. Fischer: Flood risk and flood processes in a changing environment. European Water 57: 19-25, 2017.
  • S. Fischer: A seasonal mixed-POT model to estimate high flood quantiles from different event types and seasons. Journal of Applied Statistics, 45 (15), 2831-2847, 2018.
  • S. Fischer and A. Schumann: Berücksichtigung von Starkregen in der Niederschlagsstatistik, Hydrologie und Wasserbewirtschaftung 62 (4), 248-256, 2018.
  • S. Fischer and A. Schumann: A distribution-free ordinal classification of floods based on moments. Hydrological Sciences Journal 63 (11), 1605-1618, 2018.
  • S. Fischer, and A. Schumann: Spatio-temporal consideration of the impact of flood types on flood statistics. Stochastic Environmental Research and Risk Assessment, DOI: 10.1007/s00477-019-01690-2, 2019.
  • Tarasova, L., Merz, R., Kiss, A., Basso, S., Blöschl, G., Merz, B., Viglione, A., Plötner, S., Guse, B., Schumann, A., Fischer, S., Ahrens, B., Anwar, F., Bárdossy, A., Bühler, P., Haberlandt, U., Kreibich, H., Krug, A., Lun, D., Müller-Thomy, H., Pidoto, R., Primo Ramos, C., Seidel, J., Vorogushyn, S., Wietzke, L.: Causative classification of river flood events, WIREs Water 6(4), 2019.
  • S. Fischer, A. Schumann and P. Bühler: Timescale-based flood typing to estimate temporal changes in flood frequencies. Hydrological Sciences Journal 64(15), 1867-189, 2019.
  • Fischer, S., Fried, R. and Schumann, A. (2019): Hochwasserstatistik: nahe am Wasser gebaut? In: Krämer, W. und Weihs, C. (eds.), Faszination Statistik – Einblicke in aktuelle Forschungsfragen und Erkenntnisse, Springer.

 Talks

  • Multivariate Generalized Linear-Statistics for Short Range Dependent Data, 11th German Probability and Statistics Days, Ulm, 04 - 07.03.2014.
  • A Robust Estimator of the Tail Index under Short Range Dependence, ERCIM 2014, Pisa, Italy, 06. - 08.12.2014.
  • Robuste Hochwasserstatistik, Abschlussworkshop Robust Risk Estimation, VW-Stiftung, Frauenhofer ITWM, Kaiserslautern, 20.02.2015 (invited).
  • Multivariate Generalized Linear-Statistics for Dependent Data, European Meeting of Staticians, Amsterdam, Netherlands, 06. - 10.07.2015.
  • Detecting patterns in time series with extreme events, CMStatistics 2015, London, UK, 12. - 14.12.2015 (invited).
  • Limit Theorems of Robust Estimators for EGARCH processes using U-Statistics, 12th German Probability and Statistics Days, Bochum, 01. - 04.03.2016.
  • Characterisation of seasonal flood types according to timescales in mixed probability distributions, StaHy 2016, Quebec, Kanada, 25. - 26.09.2016.
  • Decting climatic coherences in hydrological time series using ordinal patterns, CMStatistics 2016, Sevilla, Spain, 09. - 11.12.2016 (invited).
  • Spatio-temporal assessment of flood events by hierachical Kenall-copulas, EGU General Assembly 2017, Wien, Österreich, 23. - 28.04.2017.
  • Consideration of flood geneses in flood statistics by a mixture POT-model, StaHy 2017, Warschau, Polen, 21. - 22.09.2017.
  • Robuste Schätzverfahren mit Anwendung in der Hochwasserstatistik, Fakultätsseminar der Universität Siegen, Fakultät für Mathematik, 17.10.2017, auf Einladung von Prof. Dr. A. Schnurr.
  • Regionalisation of a seasonal mixture-model for partial duration series. EGU General Assembly 2018, Vienna, Austria, 09.04.-13.04. 2018.
  • Why defining and characterizing flood events is useful. Joint Workshop on Event Definition and Characterisation, TU Vienna, Vienna, Austria, 09.07.2018 (invited)
  • Detection of changes in flood types and their impact on flood statistics. AGU General Assembly 2018, Washington DC, USA, 10.-14.12.2018.
  • Anatomy of Floods – Flood Event Analyses and their Utilization. EGU General Assembly 2019, Vienna, Austria, 08.04.-12.04. 2019.
  • Is the peak the appropriated characteristic to specify flood probabilities? IUGG 2019 General Assembly, Montreal, Canada, 8.-12.08.2019.
  • The Detection of Changes in Flood Type Frequencies and Magnitudes and their Impact on Annual Flood Statistics. IUGG 2019 General Assembly, Montreal, Canada, 8.-12.08.2019.
  • A stochastic event generator considering different flood types. StaHy 2019, Nanjing, China, 18.-20.10.2019.

 

Poster

  • An Intuitive Measure of Dependence between Non-Stationary Hydrological Time Series, 7th International Water Resources Management Conference of ICWRS, Bochum, 18. - 20.05.2015.
  • Characterisation of seasonal flood types according to timescales in mixed probability distributions, 7th International Water Resources Management Conference of ICWRS, Bochum , 18. - 20.05.2015.
  • Joint modeling of annual maximum precipitation across different duration levels, EGU General Assembly 2017, Wien, Österreich, 23. - 28.04.2017 .
  • Consideration of heavy rain events in precipitation statistics, AGU General Assembly 2018, Washington DC, USA, 10.-14.12.2018

Awards

  • Best Student Oral Presentation Award, StaHy 2016, Quebec, Kanada, für den Vortrag "Characterisation of seasonal flood types according to timescales in mixed probability distributions".