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Fanny J. Sarrazin
Fanny J. Sarrazin
National Institute for Agriculture, Food, and the Environment (INRAE)
Verified email at inrae.fr - Homepage
Title
Cited by
Cited by
Year
A Matlab toolbox for global sensitivity analysis
F Pianosi, F Sarrazin, T Wagener
Environmental Modelling & Software 70, 80-85, 2015
6382015
Global Sensitivity Analysis of environmental models: Convergence and validation
F Sarrazin, F Pianosi, T Wagener
Environmental Modelling & Software 79, 135-152, 2016
3472016
Comparison of variance-based and moment-independent global sensitivity analysis approaches by application to the SWAT model
FK Zadeh, J Nossent, F Sarrazin, F Pianosi, A Van Griensven, T Wagener, ...
Environmental modelling & software 91, 210-222, 2017
1332017
Strong hydroclimatic controls on vulnerability to subsurface nitrate contamination across Europe
R Kumar, F Heße, PSC Rao, A Musolff, JW Jawitz, F Sarrazin, ...
Nature communications 11 (1), 6302, 2020
482020
V2Karst V1. 1: a parsimonious large-scale integrated vegetation-recharge model to simulate the impact of climate and land cover change in karst regions
F Sarrazin, A Hartmann, F Pianosi, R Rosolem, T Wagener
Geoscientific Model Development 11 (12), 4933–4964, 2018
442018
Matlab/R workflows to assess critical choices in Global Sensitivity Analysis using the SAFE toolbox
V Noacco, F Sarrazin, F Pianosi, T Wagener
MethodsX 6, 2258-2280, 2019
402019
An interactive graphical interface tool for parameter calibration, sensitivity analysis, uncertainty analysis, and visualization for the Soil and Water Assessment Tool
TV Nguyen, J Dietrich, TD Dang, DA Tran, B Van Doan, FJ Sarrazin, ...
Environmental Modelling & Software 156, 105497, 2022
272022
How successfully is open-source research software adopted? Results and implications of surveying the users of a sensitivity analysis toolbox
F Pianosi, F Sarrazin, T Wagener
Environmental modelling & software 124, 104579, 2020
202020
An introduction to the SAFE Matlab Toolbox with practical examples and guidelines
F Sarrazin, F Pianosi, T Wagener
Sensitivity Analysis in Earth Observation Modelling, 363-378, 2017
162017
Characterizing catchment‐scale nitrogen legacies and constraining their uncertainties
FJ Sarrazin, R Kumar, NB Basu, A Musolff, M Weber, KJ Van Meter, ...
Water Resources Research 58 (4), e2021WR031587, 2022
132022
Disparate seasonal nitrate export from nested heterogeneous subcatchments revealed with StorAge Selection functions
TV Nguyen, R Kumar, A Musolff, SR Lutz, F Sarrazin, S Attinger, ...
Water Resources Research 58 (3), e2021WR030797, 2022
132022
Long-term annual soil nitrogen surplus across Europe (1850–2019)
M Batool, FJ Sarrazin, S Attinger, NB Basu, K Van Meter, R Kumar
Scientific Data 9 (1), 612, 2022
122022
Bending of the concentration discharge relationship can inform about in-stream nitrate removal
J Dehaspe, F Sarrazin, R Kumar, JH Fleckenstein, A Musolff
Hydrology and Earth System Sciences 25 (12), 6437-6463, 2021
112021
Pulling the rabbit out of the hat: Unravelling hidden nitrogen legacies in catchment‐scale water quality models
SR Lutz, P Ebeling, A Musolff, T Van Nguyen, FJ Sarrazin, KJ Van Meter, ...
Hydrological Processes 36 (10), e14682, 2022
92022
Toward Understanding of Long‐Term Nitrogen Transport and Retention Dynamics Across German Catchments
TV Nguyen, FJ Sarrazin, P Ebeling, A Musolff, JH Fleckenstein, R Kumar
Geophysical Research Letters 49 (24), e2022GL100278, 2022
82022
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