Dr. Fanny Sarrazin

  Postdoctoral Researcher

Department Computational Hydrosystems
Helmholtz Centre for Environmental Research - UFZ



Permoserstraße 15
04318 Leipzig, Germany

Fanny Sarrazin

Research interests:

  • Development of parsimonious hydrologic and water quality (nitrogen) models
  • Estimation of contaminants (nitrogen and phosphorus) point and diffuse sources and their uncertainties
  • Uncertainty and sensitivity analysis in hydrologic and water quality modelling (SAFE toolbox for sensitivity analysis)
  • Assessment of the effect of climate and land cover change on hydrologic variables
  • Investigation of groundwater resources in karstic environments                                    


since 01/2019: Postdoc at the UFZ, Leipzig, Germany - Helmholtz Reduced Complexity models (RedMod) project.

08/2018 - 11/2018: Postdoctoral Research Associate, University of Bristol, UK - Expanding the functionalities and developing a Python version of the SAFE toolbox for sensitivity analysis.

04/2014 - 09/2018: PhD studies in Water and Environmental Engineering, University of Bristol, UK - PhD thesis: "Understanding the sensitivity of karst groundwater recharge to climate and land cover changes at a large-scale".

09/2011 - 12/2013: MSc in Environmental and Land Planning Engineering (Laurea Magistrale), Politecnico di Milano, Italy (Double degree programme with Ecole Centrale de Lyon) - Master Thesis: "Land use changes in river floodplains - Analysis of Rivers Po and Oglio".

09/2009 - 03/2014: MSc in General Engineering (Diplôme d'ingénieur généraliste), Ecole Centrale de Lyon, France

09/2007 - 06/2009: 2-year programme to prepare for national competitive examinations to enter a « Grande Ecole » of Engineering (Classe préparatoire), Lycée Champollion, Grenoble, France (Main subjects: Mathematics and Physics)

Editorial Board

Environmental Modelling & Softwarer (Elsevier)


  • Page, T., Smith, P., Beven, K., Pianosi, F., Sarrazin, F., Almeida, S., Holcombe, L., Freer, J., and Wagener, T. (in review, 2022) Technical Note: The CREDIBLE Uncertainty Estimation (CURE) toolbox: facilitating the communication of epistemic uncertainty, Hydrol. Earth Syst. Sci. Discuss., [preprint],doi: 10.5194/hess-2022-349
  • Nguyen, T. V., Sarrazin, F. J., Ebeling, P., Musolff, A., Fleckenstein, J. H., and Kumar, R. (2022) Toward Understanding of Long-Term Nitrogen Transport and Retention Dynamics Across German Catchments, Geophysical Research Letters,49 (24), e2022GL100278, doi: 10.1029/2022GL100278
  • Lutz, S. R., Ebeling, P., Musolff, A., Van Nguyen, T., Sarrazin, F. J., Van Meter, K. J., Basu, N. B., Fleckenstein, J. H., Attinger, S., and Kumar, R. (2022), Pulling the rabbit out of the hat: Unravelling hidden nitrogen legacies in catchment-scale water quality models. Hydrological Processes, 36 (10), e14682. doi: 10.1002/hyp.14682
  • Batool, M., Sarrazin, F. J., Attinger, S., Basu, N. B., Van Meter, K., and Kumar, R. (2022) Long-term annual soil nitrogen surplus across Europe (1850–2019). Scientific Data 9, 612, doi: 10.1038/s41597-022-01693-9
  • Nguyen, T. V., Dietrich, J., Duc Dang, T., Tran, D. A., Doan, B. V., Sarrazin, F. J., Abbaspour, K., and Srinivasan, R. (2022) An interactive graphical interface tool for parameter calibration, sensitivity analysis, uncertainty analysis, and visualization for the Soil and Water Assessment Tool, Environ Model Softw, 156, 105497, doi: 10.1016/j.envsoft.2022.105497

  • Ebeling, P., Kumar, R., Lutz, S. R., Nguyen, T., Sarrazin, F., Weber, M., Büttner, O., Attinger, S., and Musolff, A. (2022) QUADICA: water QUAlity, DIscharge and Catchment Attributes for large-sample studies in Germany, Earth Syst. Sci. Data, 14, 3715–3741, doi: 10.5194/essd-14-3715-2022
  • Sarrazin, F. J., Kumar, R., Basu, N. B., Musolff, A., Weber, M., Van Meter, K. J., and Attinger, S. (2022) Characterizing Catchment-Scale Nitrogen Legacies and Constraining their Uncertainties, Water Resour. Res., 58 (4), e2021WR03158, doi: 10.1029/2021WR031587

  • Nguyen, V. T., Kumar, R., Musolff, A., Lutz, S. R., Sarrazin, F., Attinger, S., and Fleckenstein, J. H. (2022) Disparate seasonal nitrate export from nested heterogeneous subcatchments revealed with StorAge Selection. Water Resources Research 58 (3), e2021WR030797, doi: 10.1029/2021WR030797

  • Dehaspe, J., Sarrazin, F., Kumar, R., Fleckenstein, J. H., and Musolff, A. (2021) Bending of the concentration discharge relationship can inform about in-stream nitrate removal, Hydrol Earth Syst Sci, 25:6435-6463, doi: 10.5194/hess-25-6437-2021
  • Kumar. R., Heße F, Rao, P. S. C., Musolff, A., Jawitz, J. W., Sarrazin, F., Samaniego, L., Fleckenstein, J. H., Rakovec, O., Thober, S., and Attinger, S. (2020) Strong hydroclimatic controls on vulnerability to subsurface nitrate contamination across Europe, Nat Commun, 11:6302. doi: 10.1038/s41467-020-19955-8
  • Pianosi, F., Sarrazin, F., and Wagener, T. (2020) How successful is open-source research software adopted? Results and implications of surveying the users of a sensitivity analysis toolbox, Environ Model Softw, 124:104579, doi: 10.1016.j.envsoft.2019.104579
  • Noacco, V., Sarrazin, F., Pianosi, F., and Wagener T (2019) Matlab/R workflows to assess critical choices in Global Sensitivity Analysis using the SAFE toolbox, MethodsX, 6: 2258-2280. doi: 10.1016/j.mex.2019.09.033
  • Sarrazin, F., Hartmann, A., Pianosi, F., Rosolem, R., and Wagener, T. (2018) V2Karst v1.1: A parsimonious large-scale integrated vegetation-recharge model to simulate the impact of climate and land cover change in karst regions, Geosci Model Dev, 11(12): 4933-4964 , doi:10.5194/gmd-11-4933-2018
  •  Khorashadi Zadeh, F., Nossent, J., Sarrazin, F., Pianosi, F., Van Griensven, A., Wagener, T., and Bauwens, W. (2017) Comparison of variance-based and moment-independent global sensitivity analysis approaches by application to the SWAT model, Environ Model Softw, 91:210–222, doi:10.1016/j.envsoft.2017.02.001     
  • Sarrazin, F., Pianosi, F., and Wagener, T. (2017) An introduction to the SAFE Matlab Toolbox with practical examples and guidelines, In: Petropoulos G, Srivastava P (eds), Sensitivity Analysis in Earth Observation Modelling, Elsevier Inc., pp 363–378, doi:10.1016/B978-0-12-803011-0.00018-5
  • Sarrazin, F., Pianosi, F., and Wagener, T. (2016) Global Sensitivity Analysis of environmental models: Convergence and validation, Environ Model Softw 79:135–152, doi: 10.1016/j.envsoft.2016.02.005   
  • Pianosi, F., Sarrazin, F., and Wagener, T. (2015) A Matlab toolbox for Global Sensitivity Analysis, Environ Model Softw 70:80–85. doi:10.1016/j.envsoft.2015.04.009