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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
6272015
Global Sensitivity Analysis of environmental models: Convergence and validation
F Sarrazin, F Pianosi, T Wagener
Environmental Modelling & Software 79, 135-152, 2016
3382016
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
1312017
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
462020
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
432018
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
362019
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
222022
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
182020
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
122022
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
112022
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
102022
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
102021
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
72022
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
72022
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