54 citations as recorded by crossref.

1. Global sensitivity analyses of key riparian nitrogen models D. Buhr et al.
2. Variability in flow and tracer-based performance metric sensitivities reveal regional differences in dominant hydrological processes across the Athabasca River basin T. Holmes et al.
3. Revisiting the Basis of Sensitivity Analysis for Dynamical Earth System Models H. Gupta & S. Razavi
4. Time‐Varying Sensitivity Analysis Reveals Relationships Between Watershed Climate and Variations in Annual Parameter Importance in Regions With Strong Interannual Variability R. Basijokaite & C. Kelleher
5. Effectiveness of Adjacent and Bivariate Maps in Communicating Global Sensitivity Analysis for Geodiversity Assessment P. Jankowski et al.
6. Hydrological Stability and Sensitivity Analysis of the Cahaba River Basin: A Combined Review and Simulation Study P. Preetha et al.
7. Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications X. Song et al.
8. Analysing the Sub-processes of a Conceptual Rainfall-Runoff Model Using Information About the Parameter Sensitivity and Variance C. Massmann & H. Holzmann
9. Moment-based metrics for global sensitivity analysis of hydrological systems A. Dell'Oca et al.
10. A Parallel Computation Tool to Enable Dynamic Sensitivity and Model Performance Analysis of APEX: Evapotranspiration Modeling M. Talebizadeh et al.
11. Model Variable Augmentation (MVA) for Diagnostic Assessment of Sensitivity Analysis Results J. Mai & B. Tolson
12. Guidance on evaluating parametric model uncertainty at decision-relevant scales J. Smith et al.
13. Ten strategies towards successful calibration of environmental models J. Mai
14. On characterizing the temporal dominance patterns of model parameters and processes B. Guse et al.
15. Rainstorm Magnitude Likely Regulates Event Water Fraction and Its Transit Time in Mesoscale Mountainous Catchments: Implication for Modelling Parameterization J. Lee et al.
16. The dilemma of objective function selection for sensitivity and uncertainty analyses of semi-distributed hydrologic models across spatial and temporal scales J. Acero Triana et al.
17. Characterizing and reducing equifinality by constraining a distributed catchment model with regional signatures, local observations, and process understanding C. Kelleher et al.
18. Computationally inexpensive identification of noninformative model parameters by sequential screening M. Cuntz et al.
19. A streamlined approach to uncertainty and sensitivity analysis for models with spatial outputs with an example from geodiversity assessment A. Ligmann-Zielinska et al.
20. Understanding the influence of hydrologic parameter uncertainty on Community Water Model predictions: a diagnostic assessment through extensive ensemble simulations J. Kim & K. Ahn
21. A multi-method Generalized Global Sensitivity Matrix approach to accounting for the dynamical nature of earth and environmental systems models S. Razavi & H. Gupta
22. Simultaneously determining global sensitivities of model parameters and model structure J. Mai et al.
23. Parameter Estimation and Uncertainty Analysis: A Comparison between Continuous and Event-Based Modeling of Streamflow Based on the Hydrological Simulation Program–Fortran (HSPF) Model H. Xie et al.
24. Spatiotemporal sensitivity analysis of vertical transport of pesticides in soil T. Hong & S. Purucker
25. Multicriteria sensitivity analysis as a diagnostic tool for understanding model behaviour and characterizing model uncertainty A. Haghnegahdar et al.
26. Sensitivity analysis of hydrological models: review and way forward M. Devak & C. Dhanya
27. A Simple Time-Varying Sensitivity Analysis (TVSA) for Assessment of Temporal Variability of Hydrological Processes Y. Medina & E. Muñoz
28. Sensitivity analysis of environmental models: A systematic review with practical workflow F. Pianosi et al.
29. Coordination and control – limits in standard representations of multi-reservoir operations in hydrological modeling C. Rougé et al.
30. Global sensitivity analysis of a three-dimensional nutrients-algae dynamic model for a large shallow lake X. Yi et al.
31. Increasing parameter identifiability through clustered time-varying sensitivity analysis L. Wang et al.
32. Global Sensitivity Analysis for Multiple Interpretive Models With Uncertain Parameters A. Dell'Oca et al.
33. Evaluating the significance of wetland representation in isotope-enabled distributed hydrologic modeling in mesoscale Precambrian shield watersheds A. Tafvizi et al.
34. Demasking the integrated information of discharge: Advancing sensitivity analysis to consider different hydrological components and their rates of change B. Guse et al.
35. A meta-modeling approach for spatio-temporal uncertainty and sensitivity analysis: an application for a cellular automata-based Urban growth and land-use change model S. Şalap-Ayça et al.
36. The sensitivity of simulated streamflow to individual hydrologic processes across North America J. Mai et al.
37. Multivariate global sensitivity analysis for dynamic models based on wavelet analysis S. Xiao et al.
38. Ecological vulnerability analysis of Beidagang National Park, China X. Yu et al.
39. What Is Controlling Our Control Rules? Opening the Black Box of Multireservoir Operating Policies Using Time‐Varying Sensitivity Analysis J. Quinn et al.
40. Improving Information Extraction From Simulated Discharge Using Sensitivity‐Weighted Performance Criteria B. Guse et al.
41. A multi-criteria trajectory-based parameter sampling strategy for the screening method of elementary effects Y. Khare et al.
42. How Should Robustness Be Defined for Water Systems Planning under Change? J. Herman et al.
43. A new approach to evaluate spatiotemporal dynamics of controlling parameters in distributed environmental models Z. Chen et al.
44. Supporting M5 model trees with sensitivity information derived from conceptual hydrological models C. Massmann
45. Flood and drought hydrologic monitoring: the role of model parameter uncertainty N. Chaney et al.
46. Improved understanding of vegetation dynamics and wetland ecohydrology via monthly UAV‐based classification S. Wu et al.
47. Analysing spatio-temporal process and parameter dynamics in models to characterise contrasting catchments B. Guse et al.
48. Sensitivity Analysis of Fully Distributed Parameterization Reveals Insights Into Heterogeneous Catchment Responses for Water Quality Modeling X. Yang et al.
49. Identifying Dominant Processes in Time and Space: Time‐Varying Spatial Sensitivity Analysis for a Grid‐Based Nitrate Model S. Wu et al.
50. Parameter uncertainty and sensitivity analysis of water quality model in Lake Taihu, China L. Jiang et al.
51. Understanding the time‐varying importance of different uncertainty sources in hydrological modelling using global sensitivity analysis F. Pianosi & T. Wagener
52. Simulation and sensitivity analysis of DNAPL migration in low-permeability media Y. Pan et al.
53. Time-varying sensitivity analysis of hydrologic and sediment parameters at multiple timescales: Implications for conservation practices H. Xie et al.
54. Multivariate sensitivity analysis based on the direction of eigen space through principal component analysis S. Xiao et al.