On the public citation graph
Understanding the time‐varying importance of different uncertainty sources in hydrological modelling using global sensitivity analysis
0 signed · 140 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9780470725184.ch1openalex-snapshot
Introduction to Sensitivity Analysis
inferredcites →https://doi.org/10.1002/hyp.1135openalex-snapshot
Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
inferredcites →https://doi.org/10.1002/hyp.3360060305openalex-snapshot
The future of distributed models: Model calibration and uncertainty prediction
inferredcites →https://doi.org/10.1002/hyp.6734openalex-snapshot
Multi‐method global sensitivity analysis (MMGSA) for modelling floodplain hydrological processes
inferredcites →https://doi.org/10.1002/hyp.7963openalex-snapshot
On red herrings and real herrings: disinformation and information in hydrological inference
inferredcites →https://doi.org/10.1002/hyp.9384openalex-snapshot
Benchmarking observational uncertainties for hydrology: rainfall, river discharge and water quality
inferredcites →https://doi.org/10.1002/hyp.9777openalex-snapshot
How to improve the representation of hydrological processes in SWAT for a lowland catchment – temporal analysis of parameter sensitivity and model performance
inferredcites →https://doi.org/10.1002/wrcr.20124openalex-snapshot
Time‐varying sensitivity analysis clarifies the effects of watershed model formulation on model behavior
inferredcites →https://doi.org/10.1002/wrcr.20413openalex-snapshot
Identifiability of transient storage model parameters along a mountain stream
inferredcites →https://doi.org/10.1016/0043-1354(80)90040-8openalex-snapshot
Eutrophication in peel inlet—II. Identification of critical uncertainties via generalized sensitivity analysis
inferredcites →https://doi.org/10.1016/j.envsoft.2013.09.033openalex-snapshot
A new approach to visualizing time-varying sensitivity indices for environmental model diagnostics across evaluation time-scales
inferredcites →https://doi.org/10.1016/j.envsoft.2015.01.004openalex-snapshot
A simple and efficient method for global sensitivity analysis based on cumulative distribution functions
inferredcites →https://doi.org/10.1016/j.envsoft.2015.04.009openalex-snapshot
A Matlab toolbox for Global Sensitivity Analysis
inferredcites →https://doi.org/10.1016/j.jhydrol.2005.01.004openalex-snapshot
Sensitivity analyses of a distributed catchment model to verify the model structure
inferredcites →https://doi.org/10.1016/j.jhydrol.2005.07.031openalex-snapshot
Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops
inferredcites →https://doi.org/10.1016/j.jhydrol.2008.02.007openalex-snapshot
So just why would a modeller choose to be incoherent?
inferredcites →https://doi.org/10.1016/j.jhydrol.2009.08.003openalex-snapshot
Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
inferredcites →https://doi.org/10.1016/j.jhydrol.2013.08.047openalex-snapshot
Addressing ten questions about conceptual rainfall–runoff models with global sensitivity analyses in R
inferredcites →https://doi.org/10.1016/j.ress.2006.04.015openalex-snapshot
A new uncertainty importance measure
inferredcites →https://doi.org/10.1017/cbo9781139047562openalex-snapshot
Risk and Uncertainty Assessment for Natural Hazards
inferredcites →https://doi.org/10.1029/2005wr004376openalex-snapshot
Bayesian analysis of input uncertainty in hydrological modeling: 2. Application
inferredcites →https://doi.org/10.1029/2007wr006271openalex-snapshot
Characterization of watershed model behavior across a hydroclimatic gradient
inferredcites →https://doi.org/10.1029/2009wr008933openalex-snapshot
A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non‐Gaussian errors
inferredcites →https://doi.org/10.1029/2010wr009946openalex-snapshot
Inferring model structural deficits by analyzing temporal dynamics of model performance and parameter sensitivity
inferredcites →https://doi.org/10.1029/2011wr011534openalex-snapshot
When are multiobjective calibration trade‐offs in hydrologic models meaningful?
inferredcites →https://doi.org/10.1029/95wr03723openalex-snapshot
Bayesian Estimation of Uncertainty in Runoff Prediction and the Value of Data: An Application of the GLUE Approach
inferredcites →https://doi.org/10.1029/97wr01067openalex-snapshot
Experimental design for estimating parameters of rate‐limited mass transfer: Analysis of stream tracer studies
inferredcites →https://doi.org/10.1029/wr016i002p00391openalex-snapshot
A stochastic‐conceptual analysis of rainfall‐runoff processes on a hillslope
inferredcites →https://doi.org/10.1029/wr025i006p01219openalex-snapshot
A physically based model of heterogeneous hillslopes: 1. Runoff production
inferredcites →https://doi.org/10.1029/ws006p0069openalex-snapshot
Multivariate seasonal period model rejection within the generalised likelihood uncertainty estimation procedure
inferredcites →https://doi.org/10.1061/(asce)he.1943-5584.0000991openalex-snapshot
Concepts of Information Content and Likelihood in Parameter Calibration for Hydrological Simulation Models
inferredcites →https://doi.org/10.1111/rssb.12052openalex-snapshot
Transformations and Invariance in the Sensitivity Analysis of Computer Experiments
inferredcites →https://doi.org/10.2166/nh.1998.15openalex-snapshot
Estimation of Parameter Uncertainty in the HBV Model
inferredcites →https://doi.org/10.5194/hess-17-5109-2013openalex-snapshot
From maps to movies: high-resolution time-varying sensitivity analysis for spatially distributed watershed models
inferredcites →https://doi.org/10.5194/hess-5-13-2001openalex-snapshot
A framework for development and application of hydrological models
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4659554openalex-extracted
Variance-Based Sensitivity Analysis Reveals Relationships between Optimal Operation Decisions and Hydrometeorology Variables for Hydro-Photovoltaic Hybrid Power Systems
inferred← citeshttps://doi.org/10.1002/2016wr018894openalex-snapshot
Demasking the integrated information of discharge: Advancing sensitivity analysis to consider different hydrological components and their rates of change
inferred← citeshttps://doi.org/10.1002/2018wr022546openalex-snapshot
Improving Robustness of Hydrologic Ensemble Predictions Through Probabilistic Pre‐ and Post‐Processing in Sequential Data Assimilation
inferred← citeshttps://doi.org/10.1002/9781119497813.ch9openalex-snapshot
UNCERTAINTY AND POPULATION VARIABILITY
inferred← citeshttps://doi.org/10.1002/hyp.13367openalex-snapshot
Observational and predictive uncertainties for multiple variables in a spatially distributed hydrological model
inferred← citeshttps://doi.org/10.1002/hyp.14673openalex-snapshot
Analysing the capability of a catchment's spectral signature to regionalize hydrological parameters
inferred← citeshttps://doi.org/10.1007/s00477-025-03125-7openalex-snapshot
Time-varying sensitivity analysis for mixing in chaotic flows: a comparison study
inferred← citeshttps://doi.org/10.1007/s11269-019-02226-7openalex-snapshot
Wavelet Transform Based Method for River Stream Flow Time Series Frequency Analysis and Assessment in Tropical Environment
inferred← citeshttps://doi.org/10.1007/s11269-023-03429-9openalex-snapshot
Water and Environmental Systems Management Under Uncertainty: From Scenario Construction to Robust Solutions and Adaptation
inferred← citeshttps://doi.org/10.1007/s11600-026-02029-6openalex-snapshot
Rainfall–runoff prediction in an ungauged catchment using an integrated HEC-HMS and machine learning framework
inferred← citeshttps://doi.org/10.1007/s11629-018-5010-6openalex-snapshot
Using uncertainty and sensitivity analysis for finding the best rainfall-runoff model in mountainous watersheds (Case study: the Navrood watershed in Iran)
inferred← citeshttps://doi.org/10.1016/b978-0-12-803011-0.00018-5openalex-snapshot
An Introduction to the SAFE Matlab Toolbox With Practical Examples and Guidelines
inferred← citeshttps://doi.org/10.1016/b978-0-443-26777-2.00004-1openalex-snapshot
Modeling watersheds: Enhancing water resource assessment and management
inferred← citeshttps://doi.org/10.1016/j.apenergy.2024.123748openalex-snapshot
Operating rules for hydro-photovoltaic systems: A variance-based sensitivity analysis
inferred← citeshttps://doi.org/10.1016/j.earscirev.2019.04.006openalex-snapshot
What has Global Sensitivity Analysis ever done for us? A systematic review to support scientific advancement and to inform policy-making in earth system modelling
inferred← citeshttps://doi.org/10.1016/j.eja.2025.127533openalex-snapshot
Leveraging temporal variability in global sensitivity analysis of the Daisy soil-plant-atmosphere model
inferred← citeshttps://doi.org/10.1016/j.ejrh.2023.101580openalex-snapshot
Deriving synthetic rating curves from a digital elevation model to delineate the inundated areas of small watersheds
inferred← citeshttps://doi.org/10.1016/j.envsoft.2016.10.011openalex-snapshot
Combined analysis of time-varying sensitivity and identifiability indices to diagnose the response of a complex environmental model
inferred← citeshttps://doi.org/10.1016/j.envsoft.2018.07.019openalex-snapshot
Distribution-based sensitivity analysis from a generic input-output sample
inferred← citeshttps://doi.org/10.1016/j.envsoft.2018.08.025openalex-snapshot
Embedding co-production and addressing uncertainty in watershed modeling decision-support tools: Successes and challenges
inferred← citeshttps://doi.org/10.1016/j.envsoft.2018.12.002openalex-snapshot
A multi-method Generalized Global Sensitivity Matrix approach to accounting for the dynamical nature of earth and environmental systems models
inferred← citeshttps://doi.org/10.1016/j.envsoft.2020.104851openalex-snapshot
An effective strategy for combining variance- and distribution-based global sensitivity analysis
inferred← citeshttps://doi.org/10.1016/j.envsoft.2022.105542openalex-snapshot
Global sensitivity analyses of key riparian nitrogen models
inferred← citeshttps://doi.org/10.1016/j.envsoft.2024.106189openalex-snapshot
Increasing parameter identifiability through clustered time-varying sensitivity analysis
inferred← citeshttps://doi.org/10.1016/j.envsoft.2026.106956openalex-snapshot
Global sensitivity analysis workflows and rankings: A practical comparison for researchers
inferred← citeshttps://doi.org/10.1016/j.envsoft.2026.107088openalex-snapshot
UQEF-Dynamic: A scalable open-source tool for forward uncertainty quantification and global sensitivity analysis of time-varying model outputs
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2018.01.036openalex-snapshot
A hybrid framework for quantifying the influence of data in hydrological model calibration
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2018.07.053openalex-snapshot
Uncertainty, sensitivity and improvements in soil moisture estimation with cosmic-ray neutron sensing
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2019.01.045openalex-snapshot
Temporal and spatial scaling effects of parameter sensitivity in relation to non-point source pollution simulation
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2019.124474openalex-snapshot
Comparing calibration strategies of a conceptual snow hydrology model and their impact on model performance and parameter identifiability
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2019.124478openalex-snapshot
Information content of spatially distributed ground-based measurements for hydrologic-parameter calibration in mixed rain-snow mountain headwaters
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.124642openalex-snapshot
Diffuse groundwater recharge estimation confronting hydrological modelling uncertainty
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.124957openalex-snapshot
Sensitivity analysis of data-driven groundwater forecasts to hydroclimatic controls in irrigated croplands
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125793openalex-snapshot
Enhancing the hydrologic system differential response method for flood forecasting correction
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2021.126268openalex-snapshot
Multi-criteria, time dependent sensitivity analysis of an event-oriented, physically-based, distributed sediment and runoff model
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2021.127093openalex-snapshot
Uncertainty assessment of radar-raingauge merged rainfall estimates in river discharge simulations
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2022.127683openalex-snapshot
Development of a stochastic hydrological modeling system for improving ensemble streamflow prediction
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2023.129414openalex-snapshot
Ten strategies towards successful calibration of environmental models
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2023.129783openalex-snapshot
Spatio-temporal sensitivity analysis of the wetland modules of a semi-distributed hydrological model
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2024.132395openalex-snapshot
Historical memory in remotely sensed soil moisture can enhance flash flood modeling for headwater catchments in Germany
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2024.132482openalex-snapshot
The dilemma of objective function selection for sensitivity and uncertainty analyses of semi-distributed hydrologic models across spatial and temporal scales
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2025.133000openalex-snapshot
Delineating dynamic hydrological response units to improve simulations of extreme runoff events in changing environments
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2026.136136openalex-snapshot
Disentangling precipitation forcing and parameter uncertainty in a multi-objective surface–subsurface hydrologic modeling framework
inferred← citeshttps://doi.org/10.1016/j.rset.2026.100139openalex-snapshot
Global sensitivity analysis and scenario discovery reveal resilient water-energy system configurations on small islands under deep uncertainty
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2017.04.074openalex-snapshot
Time-varying sensitivity analysis of hydrologic and sediment parameters at multiple timescales: Implications for conservation practices
inferred← citeshttps://doi.org/10.1017/aog.2017.8openalex-snapshot
Run-off modelling in an Arctic unglaciated catchment (Fuglebekken, Spitsbergen)
inferred← citeshttps://doi.org/10.1029/2018wr022668openalex-snapshot
Revisiting the Basis of Sensitivity Analysis for Dynamical Earth System Models
inferred← citeshttps://doi.org/10.1029/2018wr022813openalex-snapshot
What Did Really Improve Our Mesoscale Hydrological Model? A Multidimensional Analysis Based on Real Observations
inferred← citeshttps://doi.org/10.1029/2018wr023382openalex-snapshot
Model Variable Augmentation (MVA) for Diagnostic Assessment of Sensitivity Analysis Results
inferred← citeshttps://doi.org/10.1029/2018wr024177openalex-snapshot
What Is Controlling Our Control Rules? Opening the Black Box of Multireservoir Operating Policies Using Time‐Varying Sensitivity Analysis
inferred← citeshttps://doi.org/10.1029/2019wr026751openalex-snapshot
The Drivers of River Temperatures Below a Large Dam
inferred← citeshttps://doi.org/10.1029/2020wr027153openalex-snapshot
Technical Report—Methods: A Diagnostic Approach to Analyze the Direction of Change in Model Outputs Based on Global Variations in the Model Inputs
inferred← citeshttps://doi.org/10.1029/2020wr027746openalex-snapshot
Investigating the Productivity and Sustainability of Weathered Basement Aquifers in Tropical Africa Using Numerical Simulation and Global Sensitivity Analysis
inferred← citeshttps://doi.org/10.1029/2020wr028042openalex-snapshot
How to Tailor My Process‐Based Hydrological Model? Dynamic Identifiability Analysis of Flexible Model Structures
inferred← citeshttps://doi.org/10.1029/2020wr028079openalex-snapshot
Advancing Diagnostic Model Evaluation to Better Understand Water Shortage Mechanisms in Institutionally Complex River Basins
inferred← citeshttps://doi.org/10.1029/2020wr028544openalex-snapshot
Time‐Varying Sensitivity Analysis Reveals Relationships Between Watershed Climate and Variations in Annual Parameter Importance in Regions With Strong Interannual Variability
inferred← citeshttps://doi.org/10.1029/2021wr030437openalex-snapshot
Regionalization for Ungauged Catchments — Lessons Learned From a Comparative Large‐Sample Study
inferred← citeshttps://doi.org/10.1029/2021wr030590openalex-snapshot
Diagnosis of Model Errors With a Sliding Time‐Window Bayesian Analysis
inferred← citeshttps://doi.org/10.1029/2022ms003312openalex-snapshot
Large Ensemble Diagnostic Evaluation of Hydrologic Parameter Uncertainty in the Community Land Model Version 5 (CLM5)
inferred← citeshttps://doi.org/10.1029/2022wr032194openalex-snapshot
A Decision‐Relevant Factor‐Fixing Framework: Application to Uncertainty Analysis of a High‐Dimensional Water Quality Model
inferred← citeshttps://doi.org/10.1029/2022wr032834openalex-snapshot
Probabilistic Sensitivity Analysis With Dependent Variables: Covariance‐Based Decomposition of Hydrologic Models
inferred← citeshttps://doi.org/10.1029/2024ef004841openalex-snapshot
Exploring the Spatially Compounding Multi‐Sectoral Drought Vulnerabilities in Colorado's West Slope River Basins
inferred← citeshttps://doi.org/10.1029/2024ms004222openalex-snapshot
Characterizing How Meteorological Forcing Selection and Parameter Uncertainty Influence Community Land Model Version 5 Hydrological Applications in the United States
inferred← citeshttps://doi.org/10.1029/2025wr040264openalex-snapshot
Event‐Type‐Based Multi‐Dimensional Diagnostics of Process Limitations in Hydrological Models
inferred← citeshttps://doi.org/10.1038/s41598-021-96250-6openalex-snapshot
An improved calibration and uncertainty analysis approach using a multicriteria sequential algorithm for hydrological modeling
inferred← citeshttps://doi.org/10.1079/9781800625310.0015openalex-snapshot
Forest Hydrology Modeling: Processes, Methods and Example Models
inferred← citeshttps://doi.org/10.1080/02626667.2018.1451646openalex-snapshot
Definitions of climatological and discharge days: do they matter in hydrological modelling?
inferred← citeshttps://doi.org/10.1137/24m1718330openalex-snapshot
Surrogate-Based Global Sensitivity Analysis with Statistical Guarantees via Floodgate
inferred← citeshttps://doi.org/10.1175/jhm-d-20-0213.1openalex-snapshot
Assessment of Precipitation Error Propagation in Discharge Simulations over the Contiguous United States
inferred← citeshttps://doi.org/10.18307/2021.0624openalex-snapshot
A spatial distributed runoff correction approach based on differential response
inferred← citeshttps://doi.org/10.2166/hydro.2020.045openalex-snapshot
Spatial runoff updating based on the hydrologic system differential response for flood forecasting
inferred← citeshttps://doi.org/10.2166/nh.2019.031openalex-snapshot
Diagnosis of the hydrology of a small Arctic permafrost catchment using HBV conceptual rainfall-runoff model
inferred← citeshttps://doi.org/10.2478/cee-2023-0004openalex-snapshot
Determination of the Hydrological and Morphometric Characteristics Using GIS
inferred← citeshttps://doi.org/10.2514/1.j059065openalex-snapshot
Global Sensitivity Analysis for Modeling the Free-Flight Behavior of an Artillery Projectile
inferred← citeshttps://doi.org/10.3389/frwa.2022.836554openalex-snapshot
Is Precipitation Responsible for the Most Hydrological Model Uncertainty?
inferred← citeshttps://doi.org/10.3390/agronomy14040733openalex-snapshot
A Method to Estimate Climate Drivers of Maize Yield Predictability Leveraging Genetic-by-Environment Interactions in the US and Canada
inferred← citeshttps://doi.org/10.3390/jmse10111750openalex-snapshot
Using Different Classic Turbulence Closure Models to Assess Salt and Temperature Modelling in a Lagunar System: A Sensitivity Study
inferred← citeshttps://doi.org/10.3390/w12040961openalex-snapshot
Time Variant Sensitivity Analysis of Hydrological Model Parameters in a Cold Region Using Flow Signatures
inferred← citeshttps://doi.org/10.3390/w12092376openalex-snapshot
Analysis of the Relative Importance of Model Parameters in Watersheds with Different Hydrological Regimes
inferred← citeshttps://doi.org/10.3390/w12092463openalex-snapshot
A Simple Time-Varying Sensitivity Analysis (TVSA) for Assessment of Temporal Variability of Hydrological Processes
inferred← citeshttps://doi.org/10.3390/w14050807openalex-snapshot
Analysis of the Relative Importance of the Main Hydrological Processes at Different Temporal Scales in Watersheds of South-Central Chile
inferred← citeshttps://doi.org/10.3390/w14203217openalex-snapshot
Review of Nonpoint Source Pollution Models: Current Status and Future Direction
inferred← citeshttps://doi.org/10.3390/w16213030openalex-snapshot
Advancing SWAT Model Calibration: A U-NSGA-III-Based Framework for Multi-Objective Optimization
inferred← citeshttps://doi.org/10.5194/gmd-14-4865-2021openalex-snapshot
Model cascade from meteorological drivers to river flood hazard: flood-cascade v1.0
inferred← citeshttps://doi.org/10.5194/hess-2021-264openalex-snapshot
Diagnosing the impacts of permafrost on catchment hydrology: field measurements and model experiments in a mountainous catchment in western China
inferred← citeshttps://doi.org/10.5194/hess-2021-40-rc1openalex-snapshot
Comment on hess-2021-40 - Disentangling Sources of Future Uncertainties forWater Management in Sub-Saharan River Basins by Amaranto et al.
inferred← citeshttps://doi.org/10.5194/hess-2021-5openalex-snapshot
Drought-induced non-stationarity in the rainfall-runoff relationship invalidates the role of control catchment at the Red Hill paired-catchment experimental site
inferred← citeshttps://doi.org/10.5194/hess-21-2301-2017openalex-snapshot
Effects of uncertainty in soil properties on simulated hydrological states and fluxes at different spatio-temporal scales
inferred← citeshttps://doi.org/10.5194/hess-22-203-2018openalex-snapshot
Regional analysis of parameter sensitivity for simulation of streamflow and hydrological fingerprints
inferred← citeshttps://doi.org/10.5194/hess-25-1365-2021openalex-snapshot
Coordination and control – limits in standard representations of multi-reservoir operations in hydrological modeling
inferred← citeshttps://doi.org/10.5194/hess-26-245-2022openalex-snapshot
Disentangling sources of future uncertainties for water management in sub-Saharan river basins
inferred← citeshttps://doi.org/10.5194/hess-26-4187-2022openalex-snapshot
Frozen soil hydrological modeling for a mountainous catchment northeast of the Qinghai–Tibet Plateau
inferred← citeshttps://doi.org/10.70675/4f0361f5zb449z4bf4zbce2zc97c831e3c16openalex-snapshot
Free-Flight Projectile Behaviour : LPV modelling and global sensitivity analysis
inferred← citeshttps://doi.org/10.70675/da86d492z32b2z4234z8621z5350c42fce49openalex-snapshot
Mesures de sensibilité de Borgonovo : estimation des indices d'ordre un et supérieur, et application à l'analyse de fiabilité
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.