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Wolfgang Nowak (1974-)

Name	Wolfgang Nowak
Zeit	1974- (Lebensdaten)
Ort	Esslingen am Neckar (Geburtsort) Deutschland
Akademischer Grad bzw. Titel	Prof. Dr.-Ing.
Variante	W. Nowak
Beziehung	Universität Stuttgart. Institut für Wasser- und Umweltsystemmodellierung Umwelttechnik (Studienfach)
Weitere Angaben	Dissertation Universität Stuttgart 2004
Datensatztyp	Person
GND-Nummer	1045721050
Datensatz-ID	1045721050
Beteiligt an alle anzeigen Towards a community-wide effort for benchmarking in subsurface hydrological inversion: benchmarking cases, high-fidelity reference solutions, procedure and a first comparison Long-term lumped projections of groundwater balances in the face of limited data Hydraulically induced fracturing in heterogeneous porous media using a TPM‐phase‐field model and geostatistics Bayesian calibration points to misconceptions in three‐dimensional hydrodynamic reservoir modeling Hydraulically induced fracturing in heterogeneous porous media using a TPM‐phase‐field model and geostatistics Information‐theoretic scores for Bayesian model selection and similarity analysis : concept and application to a groundwater problem Physics-informed neural networks for learning dynamic, distributed and uncertain systems Physics-informed neural networks for learning dynamic, distributed and uncertain systems Stochastic model comparison and refinement strategies for gas migration in the subsurface Diagnosing similarities in probabilistic multi-model ensembles: an application to soil–plant-growth-modeling Optimal Exposure Time in Gamma-Ray Attenuation Experiments for Monitoring Time-Dependent Densities Combining crop modeling with remote sensing data using a particle filtering technique to produce real-time forecasts of winter wheat yields under uncertain boundary conditions Diagnosing similarities in probabilistic multi-model ensembles : an application to soil-plant-growth-modeling Diagnosis of model errors with a sliding time‐window Bayesian analysis Diagnosis of Model Errors With a Sliding Time‐Window Bayesian Analysis Learning groundwater contaminant diffusion‐sorption processes with a finite volume neural network Optimal design of experiments to improve the characterisation of atrazine degradation pathways in soil Optimal planning of water and renewable energy systems for copper production processes with sector coupling and demand flexibility Quantifying and visualizing model similarities for multi-model methods Surrogate-based Bayesian comparison of computationally expensive models: application to microbially induced calcite precipitation Bayesian inversion and model selection of heterogeneities in geostatistical subsurface modeling Bayesian inversion and model selection of heterogeneities in geostatistical subsurface modeling Characterization of export regimes in concentration-discharge plots via an advanced time-series model and event-based sampling strategies Integrating structural resilience in the design of urban drainage networks in flat areas using a simplified multi-objective optimization framework Integrating Structural Resilience in the Design of Urban Drainage Networks in Flat Areas Using a Simplified Multi-Objective Optimization Framework Overcoming the model‐data‐fit problem in porous media : a quantitative method to compare invasion‐percolation models to high‐resolution data Surrogate-based Bayesian comparison of computationally expensive models : application to microbially induced calcite precipitation The role of fast frequency response of energy storage systems and renewables for ensuring frequency stability in future low-inertia power systems Sampling behavioral model parameters for ensemble-based sensitivity analysis using Gaussian process emulation and active subspaces A stochastic framework to optimize monitoring strategies for delineating groundwater divides Bayesian calibration and validation of a large‐scale and time‐demanding sediment transport model Bayesian Calibration and Validation of a Large‐Scale and Time‐Demanding Sediment Transport Model Bayesian model weighting : the many faces of model averaging Improving thermochemical energy storage dynamics forecast with physics-inspired neural network architecture Strategies for simplifying reactive transport models : a Bayesian model comparison Strategies for Simplifying Reactive Transport Models: A Bayesian Model Comparison Analysis and simulation of anomalous transport in porous media Modelling Surface Water-Groundwater Exchange : Evaluating Model Uncertainty from the Catchment to Bedform-Scale Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario Early-warning monitoring systems for improved drinking water resource protection Das KWK-Gesetz 2017 zur weiteren Förderung der Kraft-Wärme-Kopplung Uncertainty quantification for expensive simulations : optimal surrogate modeling under time constraints Editorial : Special Issue on “NUPUS: Non-linearities and Upscaling in PoroUS Media” Extreme Events, Critical Infrastructures, Human Vulnerability and Strategic Planning: Emerging Research Issues Optimization for Early-Warning Monitoring Networks in Well Catchments Should Be Multi-objective, Risk-Prioritized and Robust Against Uncertainty Efficient concepts for optimal experimental design in nonlinear environmental systems Risk quantification and management in water production and supply systems Simulation, identification and characterization of contaminant source architectures in the subsurface Methods for physically-based model reduction in time : analysis, comparison of methods and application Geostatistical methods for the identification of flow and transport parameters in the subsurface Geostatistical methods for the identification of flow and transport parameters in the subsurface

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Katalog der Deutschen Nationalbibliothek

Wolfgang Nowak (1974-)

Towards a community-wide effort for benchmarking in subsurface hydrological inversion: benchmarking cases, high-fidelity reference solutions, procedure and a first comparison

Long-term lumped projections of groundwater balances in the face of limited data

Hydraulically induced fracturing in heterogeneous porous media using a TPM‐phase‐field model and geostatistics

Bayesian calibration points to misconceptions in three‐dimensional hydrodynamic reservoir modeling

Hydraulically induced fracturing in heterogeneous porous media using a TPM‐phase‐field model and geostatistics

Information‐theoretic scores for Bayesian model selection and similarity analysis : concept and application to a groundwater problem

Physics-informed neural networks for learning dynamic, distributed and uncertain systems

Physics-informed neural networks for learning dynamic, distributed and uncertain systems

Stochastic model comparison and refinement strategies for gas migration in the subsurface

Diagnosing similarities in probabilistic multi-model ensembles: an application to soil–plant-growth-modeling

Optimal Exposure Time in Gamma-Ray Attenuation Experiments for Monitoring Time-Dependent Densities

Combining crop modeling with remote sensing data using a particle filtering technique to produce real-time forecasts of winter wheat yields under uncertain boundary conditions

Diagnosing similarities in probabilistic multi-model ensembles : an application to soil-plant-growth-modeling

Diagnosis of model errors with a sliding time‐window Bayesian analysis

Diagnosis of Model Errors With a Sliding Time‐Window Bayesian Analysis

Learning groundwater contaminant diffusion‐sorption processes with a finite volume neural network

Optimal design of experiments to improve the characterisation of atrazine degradation pathways in soil

Optimal planning of water and renewable energy systems for copper production processes with sector coupling and demand flexibility

Quantifying and visualizing model similarities for multi-model methods

Surrogate-based Bayesian comparison of computationally expensive models: application to microbially induced calcite precipitation

Bayesian inversion and model selection of heterogeneities in geostatistical subsurface modeling

Bayesian inversion and model selection of heterogeneities in geostatistical subsurface modeling

Characterization of export regimes in concentration-discharge plots via an advanced time-series model and event-based sampling strategies

Integrating structural resilience in the design of urban drainage networks in flat areas using a simplified multi-objective optimization framework

Integrating Structural Resilience in the Design of Urban Drainage Networks in Flat Areas Using a Simplified Multi-Objective Optimization Framework

Overcoming the model‐data‐fit problem in porous media : a quantitative method to compare invasion‐percolation models to high‐resolution data

Surrogate-based Bayesian comparison of computationally expensive models : application to microbially induced calcite precipitation

The role of fast frequency response of energy storage systems and renewables for ensuring frequency stability in future low-inertia power systems

Sampling behavioral model parameters for ensemble-based sensitivity analysis using Gaussian process emulation and active subspaces

A stochastic framework to optimize monitoring strategies for delineating groundwater divides

Bayesian calibration and validation of a large‐scale and time‐demanding sediment transport model

Bayesian Calibration and Validation of a Large‐Scale and Time‐Demanding Sediment Transport Model

Bayesian model weighting : the many faces of model averaging

Improving thermochemical energy storage dynamics forecast with physics-inspired neural network architecture

Strategies for simplifying reactive transport models : a Bayesian model comparison

Strategies for Simplifying Reactive Transport Models: A Bayesian Model Comparison

Analysis and simulation of anomalous transport in porous media

Modelling Surface Water-Groundwater Exchange : Evaluating Model Uncertainty from the Catchment to Bedform-Scale

Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario

Early-warning monitoring systems for improved drinking water resource protection

Das KWK-Gesetz 2017 zur weiteren Förderung der Kraft-Wärme-Kopplung

Uncertainty quantification for expensive simulations : optimal surrogate modeling under time constraints

Editorial : Special Issue on “NUPUS: Non-linearities and Upscaling in PoroUS Media”

Extreme Events, Critical Infrastructures, Human Vulnerability and Strategic Planning: Emerging Research Issues

Optimization for Early-Warning Monitoring Networks in Well Catchments Should Be Multi-objective, Risk-Prioritized and Robust Against Uncertainty

Efficient concepts for optimal experimental design in nonlinear environmental systems

Risk quantification and management in water production and supply systems

Simulation, identification and characterization of contaminant source architectures in the subsurface

Methods for physically-based model reduction in time : analysis, comparison of methods and application

Geostatistical methods for the identification of flow and transport parameters in the subsurface

Geostatistical methods for the identification of flow and transport parameters in the subsurface