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The Abuse of Popular Performance Metrics in Hydrologic Modeling

Water resources research, 2021-09, Vol.57 (9), p.n/a

2021

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Use of an entropy-based metric in multiobjective calibration to improve model performance

Water resources research, 2014-10, Vol.50 (10), p.8066-8083

2014

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Dissecting Performances of PERSIANN-CDR Precipitation Product over Huai River Basin, China

Remote sensing (Basel, Switzerland), 2019-08, Vol.11 (15), p.1805

2019

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One-day offset in daily hydrologic modeling: An exploration of the issue in automatic model calibration

Journal of hydrology (Amsterdam), 2016-03, Vol.534, p.164-177

2016

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Improved Estimators of Model Performance Efficiency for Skewed Hydrologic Data

Water resources research, 2020-09, Vol.56 (9), p.n/a

2020

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A rational performance criterion for hydrological model

Journal of hydrology (Amsterdam), 2020-11, Vol.590, p.125488, Article 125488

Liu, Dedi

2020

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Evaluating model performance: towards a non-parametric variant of the Kling-Gupta efficiency

Hydrological sciences journal, 2018-10, Vol.63 (13-14), p.1941-1953

2018

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Assessing the performance and robustness of two conceptual rainfall-runoff models on a worldwide sample of watersheds

Journal of hydrology (Amsterdam), 2020-06, Vol.585, p.124698, Article 124698

2020

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Confidence intervals of the Kling-Gupta efficiency

Journal of hydrology (Amsterdam), 2022-09, Vol.612, p.127968, Article 127968

2022

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Performance evaluation of CMIP6 GCMs for the projections of precipitation extremes in Pakistan

Climate dynamics, 2023-11, Vol.61 (9-10), p.4717-4732

2023

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Evaluating the robustness of conceptual rainfall-runoff models under climate variability in northern Tunisia

Journal of hydrology (Amsterdam), 2017-07, Vol.550, p.201-217

2017

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Climate Change Impact Studies: Should We Bias Correct Climate Model Outputs or Post‐Process Impact Model Outputs?

Water resources research, 2021-05, Vol.57 (5), p.n/a

2021

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The impact of lake and reservoir parameterization on global streamflow simulation

Journal of hydrology (Amsterdam), 2017-05, Vol.548, p.552-568

2017

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Deep Learned Process Parameterizations Provide Better Representations of Turbulent Heat Fluxes in Hydrologic Models

Water resources research, 2021-05, Vol.57 (5), p.n/a

2021

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Enhancing hydrological model calibration through hybrid strategies in data‐scarce regions

Hydrological processes, 2024-02, Vol.38 (2), p.n/a

2024

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Comparison of single-site, multi-site and multi-variable SWAT calibration strategies

Hydrological sciences journal, 2020-10, Vol.65 (14), p.2376-2389

2020

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Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data

Water resources research, 2021-06, Vol.57 (6), p.n/a

2021

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Coupling Machine Learning Into Hydrodynamic Models to Improve River Modeling With Complex Boundary Conditions

Water resources research, 2022-10, Vol.58 (10), p.n/a

2022

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Assimilation of Satellite Soil Moisture Products for River Flow Prediction: An Extensive Experiment in Over 700 Catchments Throughout Europe

Water resources research, 2021-06, Vol.57 (6), p.n/a

2021

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Investigating the Model Hypothesis Space: Benchmarking Automatic Model Structure Identification With a Large Model Ensemble

Water resources research, 2024-07, Vol.60 (7), p.n/a

2024

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Towards a generic model evaluation metric for non-normally distributed measurements in water quality and ecosystem models

Ecological informatics, 2024-05, Vol.80, p.102470, Article 102470

2024

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Profiling and Pairing Catchments and Hydrological Models With Latent Factor Model

Water resources research, 2023-06, Vol.59 (6), p.n/a

2023

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Sequential Data Assimilation for Streamflow Forecasting: Assessing the Sensitivity to Uncertainties and Updated Variables of a Conceptual Hydrological Model at Basin Scale

Water resources research, 2021-04, Vol.57 (4), p.n/a

2021

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Leveraging gauge networks and strategic discharge measurements to aid the development of continuous streamflow records

Hydrology and earth system sciences, 2024-02, Vol.28 (3), p.545-573

2024

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Multi-objective assessment of hydrological model performances using Nash–Sutcliffe and Kling–Gupta efficiencies on a worldwide large sample of watersheds

Comptes rendus. Geoscience, 2023-01, Vol.355 (S1), p.117-141

2023

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The Abuse of Popular Performance Metrics in Hydrologic Modeling

Use of an entropy-based metric in multiobjective calibration to improve model performance

Dissecting Performances of PERSIANN-CDR Precipitation Product over Huai River Basin, China

One-day offset in daily hydrologic modeling: An exploration of the issue in automatic model calibration

Improved Estimators of Model Performance Efficiency for Skewed Hydrologic Data

A rational performance criterion for hydrological model

Evaluating model performance: towards a non-parametric variant of the Kling-Gupta efficiency

Assessing the performance and robustness of two conceptual rainfall-runoff models on a worldwide sample of watersheds

Confidence intervals of the Kling-Gupta efficiency

Performance evaluation of CMIP6 GCMs for the projections of precipitation extremes in Pakistan

Evaluating the robustness of conceptual rainfall-runoff models under climate variability in northern Tunisia

Climate Change Impact Studies: Should We Bias Correct Climate Model Outputs or Post‐Process Impact Model Outputs?

The impact of lake and reservoir parameterization on global streamflow simulation

Deep Learned Process Parameterizations Provide Better Representations of Turbulent Heat Fluxes in Hydrologic Models

Enhancing hydrological model calibration through hybrid strategies in data‐scarce regions

Comparison of single-site, multi-site and multi-variable SWAT calibration strategies

Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data

Coupling Machine Learning Into Hydrodynamic Models to Improve River Modeling With Complex Boundary Conditions

Assimilation of Satellite Soil Moisture Products for River Flow Prediction: An Extensive Experiment in Over 700 Catchments Throughout Europe

Investigating the Model Hypothesis Space: Benchmarking Automatic Model Structure Identification With a Large Model Ensemble

Towards a generic model evaluation metric for non-normally distributed measurements in water quality and ecosystem models

Profiling and Pairing Catchments and Hydrological Models With Latent Factor Model

Sequential Data Assimilation for Streamflow Forecasting: Assessing the Sensitivity to Uncertainties and Updated Variables of a Conceptual Hydrological Model at Basin Scale

Leveraging gauge networks and strategic discharge measurements to aid the development of continuous streamflow records

Multi-objective assessment of hydrological model performances using Nash–Sutcliffe and Kling–Gupta efficiencies on a worldwide large sample of watersheds

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