A Matlab toolbox for global sensitivity analysis F Pianosi, F Sarrazin, T Wagener Environmental Modelling & Software 70, 80-85, 2015 | 702 | 2015 |
Global Sensitivity Analysis of environmental models: Convergence and validation F Sarrazin, F Pianosi, T Wagener Environmental Modelling & Software 79, 135-152, 2016 | 371 | 2016 |
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 | 158 | 2017 |
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 | 61 | 2020 |
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 | 54 | 2018 |
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 | 52 | 2022 |
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 | 47 | 2019 |
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 | 28 | 2022 |
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 | 25 | 2020 |
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 | 21 | 2022 |
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 | 18 | 2017 |
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 | 17 | 2022 |
Pulling the rabbit out of the hat: Unravelling hidden nitrogen legacies in catchment‐scale water quality models SR Lutz, P Ebeling, A Musolff, TV Nguyen, FJ Sarrazin, KJ Van Meter, ... Hydrological Processes 36 (10), 2022 | 15 | 2022 |
QUADICA: water QUAlity, DIscharge and Catchment Attributes for large-sample studies in Germany P Ebeling, R Kumar, SR Lutz, T Nguyen, F Sarrazin, M Weber, O Büttner, ... Earth System Science Data 14 (8), 3715-3741, 2022 | 14 | 2022 |
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 | 13 | 2022 |
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 | 13 | 2021 |
The CREDIBLE Uncertainty Estimation (CURE) toolbox: facilitating the communication of epistemic uncertainty T Page, P Smith, K Beven, F Pianosi, F Sarrazin, S Almeida, L Holcombe, ... Hydrology and Earth System Sciences 27 (13), 2523-2534, 2023 | 10 | 2023 |
Gridded dataset of nitrogen and phosphorus point sources from wastewater in Germany (1950–2019) FJ Sarrazin, S Attinger, R Kumar Earth System Science Data 16 (10), 4673-4708, 2024 | | 2024 |