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What Role Does Hydrological Science Play in the Age of Machine Learning?

Water resources research, 2021-03, Vol.57 (3), p.n/a

2021

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Uncertainty in hydrologic modeling: Toward an integrated data assimilation framework

Water resources research, 2007-07, Vol.43 (7), p.W07401-n/a

2007

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On the Requirements for Inferring Aquifer‐Scale T and S in Heterogeneous Confined Aquifers

Water resources research, 2023-05, Vol.59 (5), p.n/a

2023

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Towards a comprehensive assessment of model structural adequacy

Water resources research, 2012-08, Vol.48 (8), p.np-n/a

2012

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A process-based diagnostic approach to model evaluation: Application to the NWS distributed hydrologic model

Water resources research, 2008-09, Vol.44 (9), p.W09417-n/a

2008

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The delusive accuracy of global irrigation water withdrawal estimates

Nature communications, 2022-06, Vol.13 (1), p.3183-3183, Article 3183

2022

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Trends in water balance components across the Brazilian Cerrado

Water resources research, 2014-09, Vol.50 (9), p.7100-7114

2014

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Toward a Multi‐Representational Approach to Prediction and Understanding, in Support of Discovery in Hydrology

Water resources research, 2023-01, Vol.59 (1), p.n/a

2023

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Framework for Understanding Structural Errors (FUSE): A modular framework to diagnose differences between hydrological models

Water resources research, 2008-12, Vol.44 (12), p.W00B02-n/a

2008

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What do we mean by sensitivity analysis? The need for comprehensive characterization of "global" sensitivity in Earth and Environmental systems models

Water resources research, 2015-05, Vol.51 (5), p.3070-3092

2015

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Dual state–parameter estimation of hydrological models using ensemble Kalman filter

Advances in water resources, 2005-02, Vol.28 (2), p.135-147

2005

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A new framework for comprehensive, robust, and efficient global sensitivity analysis: 1. Theory

Water resources research, 2016-01, Vol.52 (1), p.423-439

2016

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On the use of spatial regularization strategies to improve calibration of distributed watershed models

Water resources research, 2010-01, Vol.46 (1), p.n/a

2010

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On the Calibration of Spatially Distributed Hydrologic Models for Poorly Gauged Basins: Exploiting Information from Streamflow Signatures and Remote Sensing-Based Evapotranspiration Data

Water (Basel), 2022-04, Vol.14 (8), p.1252

2022

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Revisiting the Basis of Sensitivity Analysis for Dynamical Earth System Models

Water resources research, 2018-11, Vol.54 (11), p.8692-8717

2018

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A new framework for comprehensive, robust, and efficient global sensitivity analysis: 2. Application

Water resources research, 2016-01, Vol.52 (1), p.440-455

2016

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Improved treatment of uncertainty in hydrologic modeling: Combining the strengths of global optimization and data assimilation

Water resources research, 2005-01, Vol.41 (1), p.W01017-n/a

2005

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Improving robustness of hydrologic parameter estimation by the use of moving block bootstrap resampling

Water resources research, 2010-07, Vol.46 (7), p.n/a

2010

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Do Nash values have value?

Hydrological processes, 2007-07, Vol.21 (15), p.2075-2080

2007

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Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples

Entropy (Basel, Switzerland), 2021-06, Vol.23 (6), p.740

2021

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On the Reliability of Variable‐Rate Pumping Test Results: Sensitivity to Information Content of the Recorded Data

Water resources research, 2020-05, Vol.56 (5), p.n/a

2020

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Multihazard Scenarios for Analysis of Compound Extreme Events

Geophysical research letters, 2018-06, Vol.45 (11), p.5470-5480

2018

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Identification of climate variables dominating streamflow generation and quantification of streamflow decline in the Loess Plateau, China

The Science of the total environment, 2020-06, Vol.722, p.137935-137935, Article 137935

2020

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VARS-TOOL: A toolbox for comprehensive, efficient, and robust sensitivity and uncertainty analysis

Environmental modelling & software : with environment data news, 2019-02, Vol.112, p.95-107

2019

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A multi-method Generalized Global Sensitivity Matrix approach to accounting for the dynamical nature of earth and environmental systems models

Environmental modelling & software : with environment data news, 2019-04, Vol.114, p.1-11

2019

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What Role Does Hydrological Science Play in the Age of Machine Learning?

Uncertainty in hydrologic modeling: Toward an integrated data assimilation framework

On the Requirements for Inferring Aquifer‐Scale T and S in Heterogeneous Confined Aquifers

Towards a comprehensive assessment of model structural adequacy

A process-based diagnostic approach to model evaluation: Application to the NWS distributed hydrologic model

The delusive accuracy of global irrigation water withdrawal estimates

Trends in water balance components across the Brazilian Cerrado

Toward a Multi‐Representational Approach to Prediction and Understanding, in Support of Discovery in Hydrology

Framework for Understanding Structural Errors (FUSE): A modular framework to diagnose differences between hydrological models

What do we mean by sensitivity analysis? The need for comprehensive characterization of "global" sensitivity in Earth and Environmental systems models

Dual state–parameter estimation of hydrological models using ensemble Kalman filter

A new framework for comprehensive, robust, and efficient global sensitivity analysis: 1. Theory

On the use of spatial regularization strategies to improve calibration of distributed watershed models

On the Calibration of Spatially Distributed Hydrologic Models for Poorly Gauged Basins: Exploiting Information from Streamflow Signatures and Remote Sensing-Based Evapotranspiration Data

Revisiting the Basis of Sensitivity Analysis for Dynamical Earth System Models

A new framework for comprehensive, robust, and efficient global sensitivity analysis: 2. Application

Improved treatment of uncertainty in hydrologic modeling: Combining the strengths of global optimization and data assimilation

Improving robustness of hydrologic parameter estimation by the use of moving block bootstrap resampling

Do Nash values have value?

Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples

On the Reliability of Variable‐Rate Pumping Test Results: Sensitivity to Information Content of the Recorded Data

Multihazard Scenarios for Analysis of Compound Extreme Events

Identification of climate variables dominating streamflow generation and quantification of streamflow decline in the Loess Plateau, China

VARS-TOOL: A toolbox for comprehensive, efficient, and robust sensitivity and uncertainty analysis

A multi-method Generalized Global Sensitivity Matrix approach to accounting for the dynamical nature of earth and environmental systems models

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