Dr. Fanny Sarrazin

  Postdoc

Department Computational Hydrosystems
Helmholtz Centre for Environmental Research - UFZ

Contact

Address
City
Phone
Email

Permoserstraße 15
04318 Leipzig, Germany
+493412351974
fanny.sarrazin@ufz.de

Fanny Sarrazin

Research interest/topics:

  • Development of parsimonious hydrological and water quality (Nitrogen) models
  • Construction of input datasets (point and diffuse sources) for water quality modelling
  • Uncertainty and Sensitivity Characterization in hydrological and water quality modelling (SAFE toolbox for sensitivity analysis)
  • Assessment of the effect of climate and land cover change on hydrological variables
  • Investigation of groundwater resources in karstic environments                                    

CV

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)


Publications

  • Sarrazin F J, Kumar R, Basu N B, Musolff A, Weber M, Van Meter K J, Attinger S (2022) Characterizing Catchment-Scale Nitrogen Legacies and Constraining their Uncertainties, Water Resour. Res., doi: 10.1029/2021WR031587
  • Nguyen V T, Kumar R, Musolff A, Lutz S R , Sarrazin F, Attinger S, Fleckenstein, J H , (2022):
    Disparate seasonal nitrate export from nested heterogeneous subcatchments revealed with StorAge Selection functions, Water Resour. Res. 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, 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, 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, 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, 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, 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, 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, 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, Wagener T (2015) A Matlab toolbox for Global Sensitivity Analysis, Environ Model Softw 70:80–85. doi:10.1016/j.envsoft.2015.04.009