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[HTML][HTML] Sensitivity analysis of environmental models: A systematic review with practical workflow
Sensitivity Analysis (SA) investigates how the variation in the output of a numerical model
can be attributed to variations of its input factors. SA is increasingly being used in …
can be attributed to variations of its input factors. SA is increasingly being used in …
Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications
Sensitivity analysis (SA) aims to identify the key parameters that affect model performance
and it plays important roles in model parameterization, calibration, optimization, and …
and it plays important roles in model parameterization, calibration, optimization, and …
The abuse of popular performance metrics in hydrologic modeling
The goal of this commentary is to critically evaluate the use of popular performance metrics
in hydrologic modeling. We focus on the Nash‐Sutcliffe Efficiency (NSE) and the Kling …
in hydrologic modeling. We focus on the Nash‐Sutcliffe Efficiency (NSE) and the Kling …
Finding appropriate bias correction methods in downscaling precipitation for hydrologic impact studies over North America
This work compares the performance of six bias correction methods for hydrological
modeling over 10 North American river basins. Four regional climate model (RCM) …
modeling over 10 North American river basins. Four regional climate model (RCM) …
Evolutionary multiobjective optimization in water resources: The past, present, and future
This study contributes a rigorous diagnostic assessment of state-of-the-art multiobjective
evolutionary algorithms (MOEAs) and highlights key advances that the water resources field …
evolutionary algorithms (MOEAs) and highlights key advances that the water resources field …
[PDF][PDF] Catchment scale hydrological modelling: A review of model types, calibration approaches and uncertainty analysis methods in the context of recent …
In catchment hydrology, it is in practice impossible to measure everything we would like to
know about the hydrological system, mainly due to high catchment heterogeneity and the …
know about the hydrological system, mainly due to high catchment heterogeneity and the …
[HTML][HTML] An evaluation of adaptive surrogate modeling based optimization with two benchmark problems
Surrogate modeling uses cheap “surrogates” to represent the response surface of simulation
models. It involves several steps, including initial sampling, regression and adaptive …
models. It involves several steps, including initial sampling, regression and adaptive …
Method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models
The increase in spatially distributed hydrologic modeling warrants a corresponding increase
in diagnostic methods capable of analyzing complex models with large numbers of …
in diagnostic methods capable of analyzing complex models with large numbers of …
Comparison of variance-based and moment-independent global sensitivity analysis approaches by application to the SWAT model
Abstract Global Sensitivity Analysis (GSA) is an essential technique to support the
calibration of environmental models by identifying the influential parameters (screening) and …
calibration of environmental models by identifying the influential parameters (screening) and …
Smart low flow signature metrics for an improved overall performance evaluation of hydrological models
Hydrological models have to be calibrated accurately to provide reasonable model results.
For a concise model evaluation, the different phases of the hydrograph have to be …
For a concise model evaluation, the different phases of the hydrograph have to be …