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A Bayesian Hierarchical Approach to Multivariate Nonstationary Hydrologic Frequency Analysis

Water resources research, 2018-01, Vol.54 (1), p.243-255

2018

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Data‐Driven Model Uncertainty Estimation in Hydrologic Data Assimilation

Water resources research, 2018-02, Vol.54 (2), p.1252-1280

2018

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Compound Effects of Flood Drivers and Wetland Elevation Correction on Coastal Flood Hazard Assessment

Water resources research, 2020-07, Vol.56 (7), p.n/a

2020

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Assessing the uncertainties of hydrologic model selection in climate change impact studies

Hydrological processes, 2011-08, Vol.25 (18), p.2814-2826

2011

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Improving the characterization of initial condition for ensemble streamflow prediction using data assimilation

Hydrology and earth system sciences, 2011-11, Vol.15 (11), p.3399-3410

2011

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Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities

Hydrology and earth system sciences, 2012-10, Vol.16 (10), p.3863-3887

2012

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Hydrologic modeling in dynamic catchments: A data assimilation approach

Water resources research, 2016-05, Vol.52 (5), p.3350-3372

2016

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Detecting non-stationary hydrologic model parameters in a paired catchment system using data assimilation

Advances in water resources, 2016-08, Vol.94, p.103-119

2016

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hierarchical Bayesian approach for the analysis of climate change impact on runoff extremes

Hydrological processes, 2014-12, Vol.28 (26), p.6292-6308

2014

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Uncertainty assessment of climate change impacts for hydrologically distinct river basins

Journal of hydrology (Amsterdam), 2012-10, Vol.466-467, p.73-87

2012

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Quantifying uncertainty in urban flooding analysis considering hydro-climatic projection and urban development effects

Hydrology and earth system sciences, 2011-02, Vol.15 (2), p.617-633

2011

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Determining the Best Drought Tolerance Indices using Artificial Neural Network (ANN): Insight into Application of Intelligent Agriculture in Agronomy and Plant breeding

Cereal research communications, 2019-03, Vol.47 (1), p.170-181

2019

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Unraveling the Relationship Between Tropical Storms and Agricultural Drought

Earth's future, 2022-01, Vol.10 (1), p.n/a

2022

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Nonlinear Interactions of Sea‐Level Rise and Storm Tide Alter Extreme Coastal Water Levels: How and Why?

AGU advances, 2024-04, Vol.5 (2), p.n/a

2024

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Insights on the impact of systematic model errors on data assimilation performance in changing catchments

Advances in water resources, 2018-03, Vol.113, p.202-222

2018

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Toward a formal definition of water scarcity in natural-human systems

Water resources research, 2013-07, Vol.49 (7), p.4506-4517

2013

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Optimization of micropropagation and establishment of cell suspension culture in Melissa officinalis L

African journal of biotechnology, 2010-07, Vol.9 (28), p.4314-4321

2010

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Quantifying cascading uncertainty in compound flood modeling with linked process-based and machine learning models

Hydrology and earth system sciences, 2024-06, Vol.28 (11), p.2531-2553

2024

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Probabilistic flood inundation mapping through copula Bayesian multi-modeling of precipitation products

Natural hazards and earth system sciences, 2024-08, Vol.24 (8), p.2647-2665

2024

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Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter

Water resources research, 2005-05, Vol.41 (5), p.W05012-n/a

2005

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Spatial distribution and deviation from optimum temperature conditions of phenological stages of potato cultivation in West Azerbaijan

International journal of environmental science and technology (Tehran), 2019-07, Vol.16 (7), p.3523-3538

2019

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Time-varying parameter models for catchments with land use change: the importance of model structure

Hydrology and earth system sciences, 2018-05, Vol.22 (5), p.2903-2919

2018

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REVEALING THE CHAOTIC NATURE OF RIVER FLOW

Iranian journal of science and technology. Transactions of civil engineering, 2013-12, Vol.37 (C), p.437-437

2013

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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 hierarchical Bayesian approach for the analysis of climate change impact on runoff extremes: SPATIAL HIERARCHICAL BAYESIAN MODELING OF RUNOFF EXTREMES OVER PNW

Hydrological processes, 2014-12, Vol.28 (26), p.6292-6308

2014

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A Bayesian Hierarchical Approach to Multivariate Nonstationary Hydrologic Frequency Analysis

Data‐Driven Model Uncertainty Estimation in Hydrologic Data Assimilation

Compound Effects of Flood Drivers and Wetland Elevation Correction on Coastal Flood Hazard Assessment

Assessing the uncertainties of hydrologic model selection in climate change impact studies

Improving the characterization of initial condition for ensemble streamflow prediction using data assimilation

Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities

Hydrologic modeling in dynamic catchments: A data assimilation approach

Detecting non-stationary hydrologic model parameters in a paired catchment system using data assimilation

hierarchical Bayesian approach for the analysis of climate change impact on runoff extremes

Uncertainty assessment of climate change impacts for hydrologically distinct river basins

Quantifying uncertainty in urban flooding analysis considering hydro-climatic projection and urban development effects

Determining the Best Drought Tolerance Indices using Artificial Neural Network (ANN): Insight into Application of Intelligent Agriculture in Agronomy and Plant breeding

Unraveling the Relationship Between Tropical Storms and Agricultural Drought

Nonlinear Interactions of Sea‐Level Rise and Storm Tide Alter Extreme Coastal Water Levels: How and Why?

Insights on the impact of systematic model errors on data assimilation performance in changing catchments

Toward a formal definition of water scarcity in natural-human systems

Optimization of micropropagation and establishment of cell suspension culture in Melissa officinalis L

Quantifying cascading uncertainty in compound flood modeling with linked process-based and machine learning models

Probabilistic flood inundation mapping through copula Bayesian multi-modeling of precipitation products

Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter

Spatial distribution and deviation from optimum temperature conditions of phenological stages of potato cultivation in West Azerbaijan

Time-varying parameter models for catchments with land use change: the importance of model structure

REVEALING THE CHAOTIC NATURE OF RIVER FLOW

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

A hierarchical Bayesian approach for the analysis of climate change impact on runoff extremes: SPATIAL HIERARCHICAL BAYESIAN MODELING OF RUNOFF EXTREMES OVER PNW

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