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Simulating Flood‐Induced Riverbed Transience Using Unmanned Aerial Vehicles, Physically Based Hydrological Modeling, and the Ensemble Kalman Filter

Water resources research, 2018-11, Vol.54 (11), p.9342-9363

2018

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Comparing Seven Variants of the Ensemble Kalman Filter: How Many Synthetic Experiments Are Needed?

Water resources research, 2018-09, Vol.54 (9), p.6299-6318

2018

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Soil moisture and soil properties estimation in the Community Land Model with synthetic brightness temperature observations

Water resources research, 2014-07, Vol.50 (7), p.6081-6105

2014

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Evapotranspiration prediction for European forest sites does not improve with assimilation of in situ soil water content data

Hydrology and earth system sciences, 2024-02, Vol.28 (4), p.1001-1026

2024

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State and parameter estimation of two land surface models using the ensemble Kalman filter and the particle filter

Hydrology and earth system sciences, 2017-09, Vol.21 (9), p.4927-4958

2017

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Evaluation of a cosmic-ray neutron sensor network for improved land surface model prediction

Hydrology and earth system sciences, 2017-05, Vol.21 (5), p.2509-2530

2017

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Identification of time-variant river bed properties with the ensemble Kalman filter

Water resources research, 2012-10, Vol.48 (10), p.n/a

2012

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Can a Sparse Network of Cosmic Ray Neutron Sensors Improve Soil Moisture and Evapotranspiration Estimation at the Larger Catchment Scale?

Water resources research, 2024-01, Vol.60 (1), p.n/a

2024

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Identification of high-permeability subsurface structures with multiple point geostatistics and normal score ensemble Kalman filter

Journal of hydrology (Amsterdam), 2017-05, Vol.548, p.208-224

2017

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Assimilation of Groundwater Level and Soil Moisture Data in an Integrated Land Surface‐Subsurface Model for Southwestern Germany

Water resources research, 2022-06, Vol.58 (6), p.n/a

2022

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Modeling transient groundwater flow by coupling ensemble Kalman filtering and upscaling

Water resources research, 2012-01, Vol.48 (1), p.n/a

2012

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Comparison of different assimilation methodologies of groundwater levels to improve predictions of root zone soil moisture with an integrated terrestrial system model

Advances in water resources, 2018-01, Vol.111, p.224-238

2018

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Integrating hydrological modelling, data assimilation and cloud computing for real-time management of water resources

Environmental modelling & software : with environment data news, 2017-07, Vol.93, p.418-435

2017

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Joint assimilation of piezometric heads and groundwater temperatures for improved modeling of river-aquifer interactions

Water resources research, 2014-02, Vol.50 (2), p.1665-1688

2014

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Jointly mapping hydraulic conductivity and porosity by assimilating concentration data via ensemble Kalman filter

Journal of hydrology (Amsterdam), 2012-03, Vol.428-429, p.152-169

2012

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Simultaneous soil moisture and properties estimation for a drip irrigated field by assimilating cosmic-ray neutron intensity

Journal of hydrology (Amsterdam), 2016-08, Vol.539, p.611-624

2016

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TerrSysMP–PDAF (version 1.0): a modular high-performance data assimilation framework for an integrated land surface–subsurface model

Geoscientific Model Development, 2016-04, Vol.9 (4), p.1341-1360

2016

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Pattern Recognition in a Bimodal Aquifer Using the Normal-Score Ensemble Kalman Filter

Mathematical geosciences, 2012-02, Vol.44 (2), p.169-185

2012

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Real-Time Management of an Urban Groundwater Well Field Threatened by Pollution

Environmental science & technology, 2010-09, Vol.44 (17), p.6802-6807

2010

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An approach to handling non-Gaussianity of parameters and state variables in ensemble Kalman filtering

Advances in water resources, 2011-07, Vol.34 (7), p.844-864

2011

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Data assimilation for improved predictions of integrated terrestrial systems

Advances in water resources, 2015-12, Vol.86, p.257-259

2015

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Impact of uncertainty description on assimilating hydraulic head in the MIKE SHE distributed hydrological model

Advances in water resources, 2015-12, Vol.86, p.400-413

2015

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Comparison of ensemble-based state and parameter estimation methods for soil moisture data assimilation

Advances in water resources, 2015-12, Vol.86, p.425-438

2015

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Real-time data assimilation for large-scale systems: The spectral Kalman filter

Advances in water resources, 2015-12, Vol.86 (PB), p.260-272

2015

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Determining soil moisture by assimilating soil temperature measurements using the Ensemble Kalman Filter

Advances in water resources, 2015-12, Vol.86, p.340-353

2015

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Simulating Flood‐Induced Riverbed Transience Using Unmanned Aerial Vehicles, Physically Based Hydrological Modeling, and the Ensemble Kalman Filter

Comparing Seven Variants of the Ensemble Kalman Filter: How Many Synthetic Experiments Are Needed?

Soil moisture and soil properties estimation in the Community Land Model with synthetic brightness temperature observations

Evapotranspiration prediction for European forest sites does not improve with assimilation of in situ soil water content data

State and parameter estimation of two land surface models using the ensemble Kalman filter and the particle filter

Evaluation of a cosmic-ray neutron sensor network for improved land surface model prediction

Identification of time-variant river bed properties with the ensemble Kalman filter

Can a Sparse Network of Cosmic Ray Neutron Sensors Improve Soil Moisture and Evapotranspiration Estimation at the Larger Catchment Scale?

Identification of high-permeability subsurface structures with multiple point geostatistics and normal score ensemble Kalman filter

Assimilation of Groundwater Level and Soil Moisture Data in an Integrated Land Surface‐Subsurface Model for Southwestern Germany

Modeling transient groundwater flow by coupling ensemble Kalman filtering and upscaling

Comparison of different assimilation methodologies of groundwater levels to improve predictions of root zone soil moisture with an integrated terrestrial system model

Integrating hydrological modelling, data assimilation and cloud computing for real-time management of water resources

Joint assimilation of piezometric heads and groundwater temperatures for improved modeling of river-aquifer interactions

Jointly mapping hydraulic conductivity and porosity by assimilating concentration data via ensemble Kalman filter

Simultaneous soil moisture and properties estimation for a drip irrigated field by assimilating cosmic-ray neutron intensity

TerrSysMP–PDAF (version 1.0): a modular high-performance data assimilation framework for an integrated land surface–subsurface model

Pattern Recognition in a Bimodal Aquifer Using the Normal-Score Ensemble Kalman Filter

Real-Time Management of an Urban Groundwater Well Field Threatened by Pollution

An approach to handling non-Gaussianity of parameters and state variables in ensemble Kalman filtering

Data assimilation for improved predictions of integrated terrestrial systems

Impact of uncertainty description on assimilating hydraulic head in the MIKE SHE distributed hydrological model

Comparison of ensemble-based state and parameter estimation methods for soil moisture data assimilation

Real-time data assimilation for large-scale systems: The spectral Kalman filter

Determining soil moisture by assimilating soil temperature measurements using the Ensemble Kalman Filter

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