Prof. Dr.-Ing.

Wolfgang Nowak

Head
Institute for Modelling Hydraulic and Environmental Systems (LS3/SimTech)

Contact

+49-711-685 60113

Business card (VCF)

Pfaffenwaldring 5a
D-70569 Stuttgart
Room: 2.27

Consultation

Upon agreement per e-mail

  1. 2019 (submitted)

    1. Xiao S, Oladyshkin S, Nowak W. Reliability analysis with conditional importance sampling based on adaptive Kriging. Reliability Engineering & System Safety. 2019;
    2. Guisandez I, Perez-Diaz JI, Nowak W, Haas J. Should environmental constraints be considered in long-term hydro scheduling? Journal of Electrical Power & Energy Systems. 2019;
    3. Xiao S, Reuschen S, Köse G, Oladyshkin S, Nowak W. Estimation of small failure probabilities based on thermodynamic integration and parallel tempering. Mechanical Systems and Signal Processing. 2019;
    4. Keller J, Hendricks Franssen H-J, Nowak W. Pilot Point Ensemble Kalman Filter for geostatistical1 inversion and data assimilation. Water Resources Research. 2019;
    5. Dibak C, Nowak W, Dürr F, Rothermel K. Using Surrogate Models and Data Assimilation for Efficient Mobile Simulations. Pervasive and Mobile Computing. 2019;
    6. Sinsbeck M, Nowak W. No exploratory phase required: Identifying Gaussian process hyper parameters in sequential design of computer experiments at the example of Bayesian inverse problems. SIAM/ASA Journal on Uncertainty Quantification. 2019;
  2. 2019 (Submitted)

    1. Bakhshipour AE, Dittmer U, Haghighi A, Nowak W. Hybrid green-blue-gray decentralized urban drainage systems design, a simulation-optimization framework. Journal of Environmental Management. 2019;
  3. 2019 (accepted)

    1. Motavita DF, Chow R, Guthke A, Nowak W. Assessing the impact of calibration and validation data choices on hydrological model performance: a model stress-test. Journal of Hydrology. 2019;
    2. Haas J, Hagen D, Nowak W. Energy storage and transmission systems to save the fish? Minimizing hydropeaking for little extra-cost. Sustainable Energy Technologies and Assessments. 2019;
    3. Chow R, Jeremy B, Jürnjakob D, Wöhling T, Nowak W. Evaluating subsurface parameterization to simulate hyporheic exchange: The Steinlach River Test Site. Groundwater. 2019;
  4. 2019

    1. Rodriguez-Pretelin A, Nowak W. Dynamic re-distribution of pumping rates in well fields to counter transient problems in groundwater production. Groundwater for Sustainable Development. 2019;8:606–16.
    2. Junne T, Haas J, Moreno S, Naegler T, Nowak W. Considering Ecological Sustainability in Planning the Future Electricity Supply of Chile – How Much More Does it Cost? In Düsseldorf, Germany: International Renewable Energy Storage (IRES) Conference; 2019.
    3. Most S, Bolster D, Bijeljic B, Nowak W. Trajectories as training images to simulate advective-diffusive, non-Fickian transport. Water Resources Research. 2019;55:3465–80.
    4. Chow R, Hao W, Jeremy B, Jürnjakob D, Wöhling T, Nowak W. Sensitivity of simulated hyporheic exchange to river bathymetry: The Steinlach River Test Site. Groundwater. 2019;57(3):378–91.
    5. Motavita DF, Chow R, Guthke A, Nowak W. The Comprehensive Differential Split-Sample Test: A stress-test for hydrological model robustness under climate variability. Journal of Hydrology. 2019;573:501–15.
    6. Höge M, Guthke A, Nowak W. The Hydrologist’s Guide to Bayesian Model Selection, Averaging and Combination. Journal of Hydrology [Internet]. 2019;572:96–107. Available from: http://www.sciencedirect.com/science/article/pii/S0022169419301532
    7. Bode F, Reed P, Reuschen S, Nowak W. Search Space Representation and Reduction Methods to Enhance Multi-Objective Water Supply Monitoring Design. Water Resources Research. 2019;55(3):2257–78.
    8. González-Nicolás A, Nowak W, Sinsbeck M, Schwientek M. Optimal scheduling and event-based sampling: development and demonstration for investigating the nitrate characteristics of a headwater catchment. In: General Assembly 2019, Geophysical Research Abstracts: EGU2019-964, 2019. Vienna, Austria: European Geosciences Union (EGU); 2019. (General Assembly 2019, Geophysical Research Abstracts: EGU2019-964, 2019).
    9. Pamparana G, Kracht W, Haas J, Ortiz JM, Nowak W, Palma-Behnke R. Studying the integration of solar energy into the operation of a semi-autogenous grinding mill. Part II: effect of ore hardness variability, geometallurgical modeling and demand side management. Minerals Engineering. 2019;
    10. Bakhshipour AE, Bakhshizadeh M, Dittmer U, Haghighi A, Nowak W. Hanging Gardens Algorithm to Generate Decentralized Layouts for Urban Drainage Systems Optimization. Journal of Water Resources Planning and Management. 2019;145(9):04019034.
    11. Xiao S, Oladyshkin S, Nowak W. Reliability sensitivity analysis with subset simulation: application to a carbon dioxide storage problem. In: International Conference of Euro Asia Civil Engineering Forum. Stuttgart, Germany: International Conference of Euro Asia Civil Engineering Forum; 2019. (International Conference of Euro Asia Civil Engineering Forum).
    12. Pamparana G, Kracht W, Haas J, Ortiz JM, Nowak W, Palma-Behnke R. Studying the integration of solar energy into the operation of a semi-autogenous grinding mill. Part I: framework, model development and effect of solar irradiance forecasting. Minerals Engineering. 2019;
    13. Köppel M, Franzelin F, Kroeker I, Oladyshkin S, Santin G, Wittwar D, et al. Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario. Computational Geosciences. 2019;23(2):339–54.
    14. Haas J, Nowak W, Palma-Behnke R. Multi-objective planning of energy storage technologies for a fully renewable system: implications for the main stakeholders in Chile. Energy Policy. 2019;126:494–506.
    15. Anindito Y, Haas J, Olivares MA, Kern J, Nowak W. A new solution to mitigate hydropeaking? Batteries versus re-regulation reservoirs. Journal of Cleaner Production. 2019;210:477–89.
  5. 2018

    1. Rodriguez-Pretelin A, Nowak W. Unsupervised learning for probabilistic WHPA analysis: A novel approach to identify hydraulic conductivity fields that best approximate geological uncertainties. In: Fall Meeting 2018. Washington, D.C., USA: American Geophysical Union (AGU); 2018. (Fall Meeting 2018).
    2. Guthke A, Höge M, Nowak W. How model selection and averaging strategies help us improve hydrological models. In: General Assembly 2018, Geophysical Research Abstracts 20: EGU2018-12797, 2018. Vienna, Austria: European Geosciences Union (EGU); 2018. (General Assembly 2018, Geophysical Research Abstracts 20: EGU2018-12797, 2018).
    3. Rodriguez-Pretelin A, Nowak W. Integrating transient behavior as a new dimension to WHPA delineation. Advances in Water Resources. 2018;119:178–87.
    4. Schäfer-Rodrigues-Silva A, Nowak W. Diagnosing redundancies, gaps and data match in multi-model ensembles. In Saint-Malo, France: XXII. International Conference on Computational Methods in Water Resources (CMWR); 2018.
    5. Guthke A, Nowak W. Entropy-based experimental design for optimal model discrimination in the Geosciences. In Santander, Spain: Second Workshop on Information Theory and the Earth Sciences; 2018.
    6. González-Nicolás A, Nowak W. Optimal sampling strategies for river water quality to determine the chemostatic strength of catchments (Integrated Hydrosystem Modelling, Poster Presentation). In: Integrated Hydrosystem Modelling, Poster. Tübingen, Germany: Research Training Group “Integrated Hydrosystem Modelling”; 2018. (Integrated Hydrosystem Modelling, Poster).
    7. Rodriguez-Pretelin A, Nowak W. Reducing the influence of transient flow for improved Wellhead Protection: An engineered optimal pumping-injection management solution. In Stuttgart, Germany: 2nd International Conference on Simulation Technology; 2018.
    8. Cebulla F, Haas J, Eichman J, Nowak W, Mancarella P. How much Electrical Energy Storage do we need? A synthesis for the U.S., Europe, and Germany. Journal of Cleaner Production [Internet]. 2018;181:449–59. Available from: https://www.sciencedirect.com/science/article/pii/S0959652618301665
    9. Oladyshkin S, Guthke A, Mohamadi F, Kopmann R, Nowak W. Model selection under computational time constraints: application to river engineering. In Saint-Malo, France: XXII. International Conference on Computational Methods in Water Resources (CMWR); 2018.
    10. Haas J, Nowak W, Hagen D. Energy Storage Systems for a 100\% Renewable Power Supply: a Closer Look on Hydropower. In: 13th SDEWES Conference on Sustainable Development of Energy, Water and Environment Systems. Palermo, Italy: SDEWES; 2018. (13th SDEWES Conference on Sustainable Development of Energy, Water and Environment Systems).
    11. Höge M, Wöhling T, Nowak W. A Primer for Model Selection: The Decisive Role of  Model Complexity. Water Resources Research. 2018;
    12. Chow R, Wu H, Bennett J, Dugge J, Wöhling T, Nowak W. Sensitivity of simulated hyporheic exchange residence times to river bathymetry. In: General Assembly 2018, Geophysical Research Abstracts 20: EGU2018-10900, 2018. Vienna, Austria: European Geosciences Union (EGU); 2018. (General Assembly 2018, Geophysical Research Abstracts 20: EGU2018-10900, 2018).
    13. González-Nicolás A, Nowak W, Shäfer A. Optimization of strategies to collect data of the field. In Tübingen, Germany: 1st Science Meeting within CAMPOS project; 2018.
    14. Haas J, Nowak W. What technical phenomena are relevant when designing the optimal energy storage mix? In Stuttgart, Germany: 2nd International Conference on Simulation Technology; 2018.
    15. Haas J, Nowak W, Cebulla F, Rahmann C, Palma-Behnke R. A multi-service approach for finding the optimal energy storage mix for renewable systems. In Düsseldorf, Germany: International Renewable Energy Storage (IRES) Conference; 2018.
    16. Oladyshkin S, Nowak W. Incomplete statistical information limits the utility of higher-order polynomial chaos expansions. Reliability Engineering & System Safety. 2018;169:137–48.
    17. Gosses M, Nowak W, Wöhling T. Explicit treatment for Dirichlet, Neumann and Cauchy      boundary conditions in POD-based reduction of groundwater models. Advances in Water Resources. 2018;115:160–71.
    18. Rodriguez-Pretelin A, Nowak W. A Multi-Objective Optimization formulation for transient flow restriction in Wellhead Protection. In: JpGU 2018. Chiba, Japan: Japan Geoscience Union (JpGU); 2018. (JpGU 2018).
    19. Mehne J, Nowak W. Predicting the battery core temperature: explanatory power of  measurement quantities under different uncertainty scenarios. Journal of Energy Storage. 2018;18:476–84.
    20. Rodriguez-Pretelin A, Nowak W. Optimal sampling design for well catchment investigation towards transient analysis of wellhead protection areas. In: Fall Meeting 2018. Washington, D.C., USA: American Geophysical Union (AGU); 2018. (Fall Meeting 2018).
    21. Schäfer-Rodrigues-Silva A, Guthke A, Nowak W. The importance of model similarity in multi-model problems. In Stuttgart, Germany: Meeting of the international doctoral program “Environment Water”; 2018.
    22. Bode F, Ferre T, Zigelli N, Emmert M, Nowak W. Reconnecting Stochastic Methods with Hydrogeological Applications: A Utilitarian Uncertainty Analysis and Risk Assessment Approach for the Design of Optimal monitoring Networks. Water Resources Research. 2018;54:2270–97.
    23. Guthke A, Oladyshkin S, Mohammadi F, Kopmann R, Nowak W. Bayesian model selection under computational time constraints: application to river modeling. In: Fall Meeting 2018. Washington, D.C., USA: American Geophysical Union (AGU); 2018. (Fall Meeting 2018).
    24. González-Nicolás A, Nowak W. Optimal sampling strategies for river water quality to determine the chemostatic strength of catchments (GRS, Oral Presentation). In: GRS: Flow and Transport in Permeable Media, Understanding Complexity for Prediction in Permeable Media, Oral. Newry, ME, USA: Gordon Research Conferences (GRC); 2018. (GRS: Flow and Transport in Permeable Media, Understanding Complexity for Prediction in Permeable Media, Oral).
    25. Schäfer-Rodrigues-Silva A, Nowak W. What is a legitimate model complexity? In Tübingen, Germany: Meeting of the CRC 1253 CAMPOS - Catchments as Reactors: Metabolism of Pollutants on the Landscape Scale; 2018.
    26. Schäfer-Rodrigues-Silva A, Seitz T, Guthke A, Nowak W. Quantifying and visualizing similarity in multi-model ensembles. In Cargese, France: Summer school on “Flow and Transport in Porous and Fractured media”; 2018.
    27. Most S, Bijeljic B, Bolster D, Nowak W. Simulating three-dimensional non-Fickian transport across arbitrary Péclet regimes using training trajectories. In Saint-Malo, France: XXII. International Conference on Computational Methods in Water Resources (CMWR); 2018.
    28. Höge M, Wöhling T, Nowak W. The Decisive Role of Model Complexity in Model Selection. In: General Assembly 2018, Geophysical Research Abstracts  20: EGU2018-6499, 2018. Vienna, Austria: European Geosciences Union (EGU); 2018. (General Assembly 2018, Geophysical Research Abstracts  20: EGU2018-6499, 2018).
    29. Thoms A, Chow R, Steelman C, Nowak W, Parker B. Simulating Hyporheic Exchange in Bedrock Rivers - The Eramosa Bedrock River Field Site. In: Fall Meeting 2018. Washington, D.C., USA: American Geophysical Union (AGU); 2018. (Fall Meeting 2018).
    30. Rodriguez-Pretelin A, Nowak W. A framework for transient behavior restriction in WHPA delineation: A dynamic multiobjective approach. In Saint-Malo, France: XXII. International Conference on Computational Methods in Water Resources (CMWR); 2018.
    31. Khan U, Snieder E, R.Shakir, Höge M, Nowak W. Using model complexity to select the optimum architecture  for artificial neural networks. In: General Assembly 2018, Geophysical Research Abstracts 20: EGU2018-17908. Vienna, Austria: European Geosciences Union (EGU); 2018. (General Assembly 2018, Geophysical Research Abstracts 20: EGU2018-17908).
    32. González-Nicolás A, Nowak W. Optimal sampling strategies for river water quality to determine the chemostatic strength of catchments (GRC, Poster Presentation). In: GRC: Flow and Transport in Permeable Media, From Pore-Scale Physics to Geologic-Scale Processes, Poster. Newry, ME, USA: Gordon Research Conferences (GRC); 2018. (GRC: Flow and Transport in Permeable Media, From Pore-Scale Physics to Geologic-Scale Processes, Poster).
    33. Höge M, Wöhling T, Nowak W. Model Selection: Play-It-Safe vs. No-Risk-No-Fun. In: Integrated Hydrosystem Modelling 2018 Conference: How Complex Should Integrated Models Be? Tübingen, Germany: RTG 1829, DFG; 2018. (Integrated Hydrosystem Modelling 2018 Conference: How Complex Should Integrated Models Be?).
    34. Haas J, Khalighi J, Chen P-J, de la Fuente A, Nowak W. Save the Lake! Floating Solar Photovoltaic to Avoid Algae Blooms? In: Fall Meeting 2018. Washington, DC, USA: American Geophysical Union (AGU); 2018. (Fall Meeting 2018).
    35. Schäfer-Rodrigues-Silva A, Guthke A, Nowak W. Quantifying similarity in multi-model ensembles. In Tübingen, Germany: International Conference on Integrated Hydrosystem Modelling; 2018.
    36. Mohammadi F, Kopmann R, Guthke A, Oladyshkin S, Nowak W. Bayesian selection of hydro-morphodynamic models under computational  time constraints. Advances in Water Resources [Internet]. 2018;117:53–64. Available from: http://www.sciencedirect.com/science/article/pii/S0309170817311909
    37. Haas J, Cebulla F, Nowak W, Rahmann C, Palma R. A multi-service approach for planning the optimal mix of energy storage technologies in a fully renewable power supply. Energy Conversion and Management [Internet]. 2018;178:355–68. Available from: https://www.sciencedirect.com/science/article/pii/S0196890418310987
    38. Schäfer-Rodrigues-Silva A, Seitz T, Guthke A, Nowak W. Working with multi-model ensembles - what makes models differ and how can we visualize ensembles? In Tübingen, Germany: Seminar of the Research Training Group “Integrated Hydrosystem Modelling”; 2018.
  6. 2017 (submitted)

    1. Gosses M, Nowak W, Wöhling T. Explicit treatment for Dirichlet, Neumann and Cauchy boundary conditions in POD-based reduction of groundwater models. Advances in Water Resources. 2017;
    2. Bode F, Binning PJ, Nowak W. An Analytical Approach for Positioning a Single Monitoring Well to Reliably Detect Point-Source Contaminant Plumes. Water Resources Research. 2017;
  7. 2017

    1. Guthke A, Höge M, Nowak W. Bayesian model evidence as a model evaluation metric. In: General Assembly 2017, Geophysical Research Abstracts 19: EGU2017-13390-1, 2017. Vienna, Austria: European Geosciences Union (EGU); 2017. (General Assembly 2017, Geophysical Research Abstracts 19: EGU2017-13390-1, 2017).
    2. Schäfer-Rodrigues-Silva A, Nowak W. Model legitimacy - Model complexity in the light of limited data. In Stuttgart, Germany: Meeting of the international doctoral program “Environment Water”; 2017.
    3. Sinsbeck M, Nowak W. Sequential Design of Computer Experiments for the Solution of Bayesian Inverse Problems. In Weimar, Germany: 88th GAMM Annual Meeting; 2017.
    4. Chow R, Bennett J, J. Dugge TW, Nowak W. Evaluating Uncertainty in Estimating Groundwater Residence Time through a River Bend –An Integrated Hydrogeologic Modelling Study. In: General Assembly 2017, Geophysical Research Abstracts 19: EGU2017-1881, 2017. Vienna, Austria: European Geosciences Union (EGU); 2017. (General Assembly 2017, Geophysical Research Abstracts 19: EGU2017-1881, 2017).
    5. Rodriguez-Pretelin A, Nowak W. Minimizing transient influence in WHPA delineation: An optimization approach for optimal pumping rate schemes. In: Fall Meeting 2017, Abstract: PA53B-0274. New Orleans, LA, USA: American Geophysical Union (AGU); 2017. (Fall Meeting 2017, Abstract: PA53B-0274).
    6. Wirtz D, Nowak W. The rocky road to extended simulation frameworks covering uncertainty, inversion, optimization and control. Environmental Software and Modelling. 2017;93:180–92.
    7. Haas J, Nowak W, Palma-Behnke R. Multiple Storage Technologies Offering Multiple Services in Generation Expansion Planning. In Düsseldorf, Germany: International Renewable Energy Storage (IRES) Conference; 2017.
    8. Haas J, Zuniga D, Nowak W, Olivares M, Castelletti A, Tilmant A. The future of hydropower planning modeling. In: Fall Meeting 2017, Abstract: H23J-1805. New Orleans, LA, USA: American Geophysical Union (AGU); 2017. (Fall Meeting 2017, Abstract: H23J-1805).
    9. Most S, Bijeljic B, Bolster D, Dentz M, Nowak W. Simulating Non-Fickian Transport across Péclet Regimes by doing Lévy Flights in the Rank Space of Velocity. In: Fall Meeting 2017, Abstract: H31D-1545. New Orleans, LA, USA: American Geophysical Union (AGU); 2017. (Fall Meeting 2017, Abstract: H31D-1545).
    10. Haas J, Nowak W. Water-energy nexus: challenges from Chile. In Golden, Colorado: International Conference on Energy Systems Integration (ICESI); 2017.
    11. Haas J, Pamparana G, Kracht W, Nowak W, Chudinzow D, Ortiz J. Powering a Semi-Autogenous Grinding mill with photovoltaic energy including mineral management: the optimal energy storage mix. In Antofagasta, Chile: 3rd Solar Forum; 2017.
    12. Haas J, Cebulla F, Karl-Kiên C, Nowak W, Palma-Behnke R, Rahmann C, et al. Challenges and trends of energy storage expansion planning for flexibility provision in power systems - a review. Renewable & Sustainable Energy Reviews [Internet]. 2017;80:603–619. Available from: http://www.sciencedirect.com/science/article/pii/S1364032117308377
    13. Nowak W, Anindito Y, Haas J, Olivares M. Can re-regulation reservoirs and batteries cost-effectively mitigate sub-daily hydropeaking? In: Fall Meeting 2017, Abstract: PA23A-0363. New Orleans, LA, USA: American Geophysical Union (AGU); 2017. (Fall Meeting 2017, Abstract: PA23A-0363).
    14. Emmert M, Zigelli N, Haakh F, Bode F, Nowak W. Risikobasiertes Grundwassermonitoring für Wasserschutzgebiete. energie | wasser-praxis. 2017;67(8):68–71.
    15. Rodriguez-Pretelin A, Nowak W. And yet it moves! Involving transient flow conditions is the logical next step for WHPA analysis. In: Fall Meeting 2017, Abstract: H31D-1529. New Orleans, LA, USA: American Geophysical Union (AGU); 2017. (Fall Meeting 2017, Abstract: H31D-1529).
    16. Höge M, Illman W, Nowak W. Bayesian Model Selection under Time Constraints. In: Fall Meeting 2017, Abstract: H23C-1661. New Orleans, LA, USA: American Geophysical Union (AGU); 2017. (Fall Meeting 2017, Abstract: H23C-1661).
    17. Bode F, Nowak W, Emmert M, Zigelli N. Optimale Grundwassermessstellennetze: Multi-kriterielle  Optimierung als Entscheidungshilfe. gwf Wasser+Abwasser. 2017;158(07–08):111–21.
    18. Mehne J, Nowak W. Improving temperature predictions for Li-ion batteries: data assimilation with a stochastic extension of a physically-based, thermo-electrochemical model. Journal of Energy Storage [Internet]. 2017;12:288–96. Available from: http://www.sciencedirect.com/science/article/pii/S2352152X16302328
    19. Rodriguez-Pretelin A, Nowak W. Transient flow conditions change how we should think about WHPA delineation: a joint frequency and probability analysis. In: General Assembly 2017, Geophysical Research Abstracts 19: EGU2017-2660, 2017. Vienna, Austria: European Geosciences Union (EGU); 2017. (General Assembly 2017, Geophysical Research Abstracts 19: EGU2017-2660, 2017).
    20. Chow R, Bennet J, Dugge J, Wöhling T, Nowak W. Evaluating Predictive Uncertainty of Hyporheic Exchange Modelling. In: Fall Meeting 2017, Abstract: H22D-06. New Orleans, LA, USA: American Geophysical Union (AGU); 2017. (Fall Meeting 2017, Abstract: H22D-06).
    21. Wirtz D, Nowak W. The rocky road to universal scientific simulation frameworks. Environmental Software and Modelling. 2017;93:180–92.
  8. 2016

    1. Sinsbeck M, Nowak W. Sequential Design of Computer Experiments for the Solution of Bayesian Inverse Problems. In Lausanne, Switzerland: SIAM Conference on Uncertainty Quantification; 2016.
    2. Flemisch B, Nordbotten JM, Nowak W, Raoof A. Special Issue on “‘NUPUS: Non-linearities and Upscaling in PoroUS Media’” (Editorial). Transport in Porous Media. 2016;114:237–40.
    3. T. H. Mai, W. Nowak RK, Oladyshkin S. Uncertainty quantification for a hydro-morphodynamic model of river Rhine. In: General Assembly 2016, Geophysical Research Abstracts 18: EGU2016-5701-3, 2016. Vienna, Austria: European Geosciences Union (EGU); 2016. (General Assembly 2016, Geophysical Research Abstracts 18: EGU2016-5701-3, 2016).
    4. Oladyshkin S, Nowak W. Incomplete statistical information limits the utility of higher-order polynomial chaos expansions. In Lausanne Switzerland: SIAM Conference on Uncertainty Quantification; 2016.
    5. Bode F, Nowak W, Reed PM, Reuschen S. Putting Man in the Machine: Exploiting Expertise to Enhance Multiobjective Design of Water Supply Monitoring Network. In: Fall Meeting 2016, Abstract: H51A-1413. San Francisco, CA, USA: American Geophysical Union (AGU); 2016. (Fall Meeting 2016, Abstract: H51A-1413).
    6. Most S, Jia N, Bijeljic B, Nowak W. Simulating Pre-Asymptotic, Non-Fickian Transport Although Doing Simple Random Walks - Supported By Empirical Pore-Scale Velocity Distributions and Memory Effects. In: Fall Meeting 2016, Abstract: H51D-1502. San Francisco, CA, USA: American Geophysical Union (AGU); 2016. (Fall Meeting 2016, Abstract: H51D-1502).
    7. Höge M, Wöhling T, Nowak W. On the Way to Appropriate Model Complexity. In: Fall Meeting 2016, Abstract: NG13A-1683. San Francisco, CA, USA: American Geophysical Union (AGU); 2016. (Fall Meeting 2016, Abstract: NG13A-1683).
    8. Haas J, Schradi J, Nowak W. Performance of Optimization Heuristics for the Operational Planning of Multienergy Storage Systems. In: Fall Meeting 2016, Abstract: GC51C-1162. San Francisco, CA, USA: American Geophysical Union (AGU); 2016. (Fall Meeting 2016, Abstract: GC51C-1162).
    9. Chow R, Frind ME, Frind EO, Jones JP, Sousa MR, Rudolph DL, et al. Delineating Baseflow Contribution Areas for Streams – A Model and Methods Comparison. Journal of Contaminant Hydrology. 2016;195:11–22.
    10. Vereecken H, Schnepf A, Hopmans JW, Or MJD, Roose T, Vanderborght J, et al. Modeling Soil Processes: Key challenges and new perspectives. Vadoze Zone Journal. 2016;15(5).
    11. Most S, Bijeljic B, Nowak W. Evolution and persistence of cross-directional statistical dependence during finite-P’eclet transport through a real porous medium. Water Resources Research. 2016;52(11):8920–37.
    12. Most S, Bolster D, Bijeljic B, Nowak W. Coarse Graining of Non-Fickian Solute Transport – PTRW on Smoothed Velocity Fields. In: Fall Meeting 2016, Abstract: H51D-1501. San Francisco, CA, USA: American Geophysical Union (AGU); 2016. (Fall Meeting 2016, Abstract: H51D-1501).
    13. Wöhling T, Geiges A, Nowak W. Optimal design of multi-type groundwater monitoring networks using easily accessible tools. Groundwater. 2016;54(6):861–70.
    14. Lötgering-Lin O, Schöniger A, Nowak W, Gross J. Bayesian Model Selection helps to Choose Objectively between Thermodynamic Models: A Demonstration of Selecting a Viscosity-Model based on Entropy Scaling. Industrial & Engineering Chemistry Research. 2016;55(38):10191–207.
    15. Most S, Bijeljic B, Nowak W. Let’s move to spheres! Why a spherical coordinate system is rewarding when analyzing particle increment statistics. In: General Assembly 2016, Geophysical Research Abstracts, Volume 18. Vienna, Austria: European Geosciences Union (EGU); 2016. (General Assembly 2016, Geophysical Research Abstracts, Volume 18).
    16. Nowak W, Guthke A. Entropy-based experimental design for optimal model discrimination in the geosciences. Entropy. 2016;18(11):409.
    17. Most S, Bijeljic B, Nowak W. A copula-based analysis of the dependence structure and process memory of anomalous pore-scale transport. In Cincinnati OH, USA: Interpore International Society for Porous Media: 8th International Conference on Porous Media & Annual Meeting; 2016.
    18. Birkmann J, Wenzel F, Greiving S, Garschagen M, Vall’ee D, Nowak W, et al. Extreme Events, Critical Infrastructures, Human Vulnerability and Strategic Planning: Emerging Research Issues. Journal of Extreme Events. 2016;3(2):1650017(1-25).
    19. Koch J, Nowak W. Identification of contaminant source architectures - A statistical inversion that emulates multi-phase physics in a computationally practicable manner. Water Resources Research. 2016;52(2):1009–25.
    20. Schöniger A, Illman WA, Wöhling T, Nowak W. Which level of model complexity is justified by your data? A Bayesian answer. In: General Assembly 2016, Geophysical Research Abstracts 20: EGU2016-12413, 2016. Vienna, Austria: European Geosciences Union (EGU); 2016. (General Assembly 2016, Geophysical Research Abstracts 20: EGU2016-12413, 2016).
  9. 2015

    1. Schöniger A, Wöhling T, Nowak W. A statistical concept to assess the uncertainty in Bayesian model weights and its impact on model ranking. Water Resources Research. 2015;51(9):7524–46.
    2. Koch J, Nowak W. Predicting DNAPL mass discharge and contaminated site longevity probabilities: Conceptual model and high-resolution stochastic simulation. Water Resources Research. 2015;51(2):806–31.
    3. Bode F, Loschko M, Nowak W. How to Decide? Multi-Objective Early-Warning Monitoring Networks for Water Suppliers. In: General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-9270, 2015. Vienna, Austria: European Geosciences Union (EGU); 2015. (General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-9270, 2015).
    4. Nowak W, Wöhling T, Schöniger A. Lessons learned from a past series of Bayesian model averaging studies for soil/plant models. In: General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-10293-1, 2015. Vienna, Austria: European Geosciences Union (EGU); 2015. (General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-10293-1, 2015).
    5. Wöhling T, Schöniger A, Gayler S, Nowak W. Bayesian model averaging to explore the worth of data for soil-plant model selection and prediction. Water Resources Research. 2015;51(4):2825–46.
    6. Geiges A, Rubin Y, Nowak W. Interactive design of experiments: A priori global versus sequential optimization, revised under changing states of knowledge. Water Resources Research. 2015;51(10):7915–36.
    7. Bode F, Reuschen S, Nowak W. Never Use the Complete Search Space: A Concept to Enhance the Optimization Procedure for Monitoring Networks. In: Fall Meeting 2015, Abstract: IN11B-1774. San Francisco, CA, USA: American Geophysical Union (AGU); 2015. (Fall Meeting 2015, Abstract: IN11B-1774).
    8. Nowak W, Bode F, Loschko M. A multi-objective optimization concept for risk-based early-warning monitoring networks in well catchments. Procedia Environmental Sciences. 2015;25:191–8.
    9. Most S, Bijeljic B, Nowak W. A Full Empirical Description of Mixing and Dilution - The Fingerprint of Non-Fickian Mixing. In: Fall Meeting 2015, Abstract: H51F-1429. San Francisco, CA, USA: American Geophysical Union (AGU); 2015. (Fall Meeting 2015, Abstract: H51F-1429).
    10. Sinsbeck M, Nowak W. An optimal sampling rule for nonintrusive polynomial chaos expansions of expensive models. International Journal for Uncertainty Quantification. 2015;5(3):275–95.
    11. Haas J, Nowak W, Palma-Behnke R, Cebulla F. Energy storage opportunities and modelling challenges in Chile. In Concepcion, Chile: Production and Storage of Renewable Energy, KIT Alumni Expert Seminar; 2015.
    12. Bode F, Nowak W, Loschko M. Optimization for early-warning monitoring networks in well catchments should be multi-objective, risk-prioritized and robust against uncertainty. Transport in Porous Media. 2015;114:261–81.
    13. Schöniger A, Wöhling T, Samaniego L, Nowak W. On the various (good and bad) ways to evaluate Bayesian model weights. In: General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-2084-2, 2015. Vienna, Austria: European Geosciences Union (EGU); 2015. (General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-2084-2, 2015).
    14. Gerbersdorf SU, Cimatoribus C, Class H, Engesser KH, Helbich S, Hollert H, et al. Anthropogenic Trace Compounds (ATCs) in aquatic habitats - research needs on sources, fate, detection and toxicity to ensure timely elimination strategies and risk management. Environment International. 2015;79:85–105.
    15. Most S, Bijeljic B, Nowak W. A complete fingerprint of non-Fickian mixing – an empirical statistical analysis. In Padova, Italy: Interpore International Society for Porous Media: 7th International Conference on Porous Media & Annual Meeting; 2015.
    16. Enzenhöfer R, Nowak W, Binning PJ. Stakeholder-Objective Risk Model (STORM): Determining the aggregated risk of multiple contaminant hazards in groundwater well catchments. Advances in Water Resources. 2015;83:165–75.
    17. Schöniger A, Illman W, Wöhling T, Nowak W. Finding the Right Balance Between Groundwater Model Complexity and Experimental Effort via Bayesian Model Selection. Journal of Hydrology. 2015;531(1):96–110.
    18. Most S, Bijeljic B, Nowak W. One Hundred Ways to be Non-Fickian - A Rigorous Multi-Variate Statistical Analysis of Pore-Scale Transport. In: General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-11212, 2015. Vienna, Austria: European Geosciences Union (EGU); 2015. (General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-11212, 2015).
    19. Lötgering-Lin O, Hopp M, Gross J, Schöniger A, Nowak W. Prediction of pure component and mixture viscosities using PCP-SAFT and entropy scaling. In Houston, TX, USA: SAFT 2015; 2015.
  10. 2014

    1. Kröker I, Nowak W, Rohde C. A stochastically and spatially adaptive parallel scheme for uncertain and non-linear two-phase flow problems. Computational Geosciences. 2014;19:269–84.
    2. Oladyshkin S, Schröder P, Class H, Nowak W. Stochastic model calibration for large-scale applications via Bayesian updating combined with arbitrary polynomial chaos. In Stuttgart, Germany: XX. International Conference on Computational Methods in Water Resources (CMWR); 2014.
    3. Enzenhöfer R, Bunk T, Nowak W. Nine steps to risk-informed wellhead protection and management: A case study. Groundwater. 2014;52:161–74.
    4. Oladyshkin S, de Barros HCRHWNFPJ, Ashraf M. Data-driven polynomial response surfaces as efficient tool for applied tasks under uncertainty. In Research Triangle Park, NC, USA: SAMSI Geosciences Applications Opening Workshop; 2014.
    5. Schöniger A, Wöhling T, Nowak W. How to address measurement noise in Bayesian model averaging. In: Fall Meeting 2014, Abstract: H23K-1017. San Francisco, CA, USA: American Geophysical Union (AGU); 2014. (Fall Meeting 2014, Abstract: H23K-1017).
    6. Elsheikh AH, Oladyshkin S, Nowak W, Christie M. Estimating the probability of CO_2 leakage using rare event simulation. In: ECMOR XIV-14th European conference on the mathematics of oil recovery. 2014. p. We B25. (ECMOR XIV-14th European conference on the mathematics of oil recovery).
    7. Sinsbeck M, Nowak W. Adaptive Sampling for Bayesian Updating with Non-Intrusive Polynomial Chaos Expansions. In Savannah, Georgia, USA: SIAM Conference on Uncertainty Quantification; 2014.
    8. Bode F, Binning P, Nowak W. Multi-Objective Optimization of Groundwater Monitoring Networks: Computational Costs vs. Optimization Accuracy. In Stuttgart, Germany: XX. International Conference on Computational Methods in Water Resources (CMWR); 2014.
    9. Schöniger A, Wöhling T, Nowak W. How reliable is Bayesian model averaging under noisy data? Statistical assessment and implications for robust model selection. In: General Assembly 2014, Geophysical Research Abstracts 16: EGU2014-2211, 2014. Vienna, Austria: European Geosciences Union (EGU); 2014. (General Assembly 2014, Geophysical Research Abstracts 16: EGU2014-2211, 2014).
    10. Koch J, Nowak W. A method for implementing Dirichlet and third-type boundary conditions in PTRW simulations. Water Resources Research. 2014;50(2):1374–95.
    11. Geiges A, Nowak W. A reverse engineering approach to optimize the design of experiments and field campaigns. In Stuttgart, Germany: XX. International Conference on Computational Methods in Water Resources (CMWR); 2014.
    12. Bode F, Binning PJ, Nowak W. Enhanced Multi-objective Optimization of Groundwater Monitoring Networks. In Denver, CO, USA: NGWA Groundwater Summit 2014; 2014.
    13. Oladyshkin S, Nowak W. Analyzing the expansion order for polynomial chaos expansions in the light of imprecise information on statistical input distributions. In Boulder, CO, USA: 1st International Conference on Frontiers in Computational Physics: Modeling the Earth System; 2014.
    14. Bode F, Loschko M, Nowak W. A Risk-Based Multi-Objective Optimization Concept for Early-Warning Monitoring Networks. In: Fall Meeting 2014, Abstract: H23K-1023. San Francisco, CA, USA: American Geophysical Union (AGU); 2014. (Fall Meeting 2014, Abstract: H23K-1023).
    15. Schöniger A, Wöhling T, Samaniego L, Nowak W. Model selection on solid ground: rigorous comparison of nine ways to evaluate Bayesian evidence. Water Resources Research. 2014;50(12):9484–513.
    16. Schröder P, Class H, Nowak W. On combination of strict Bayesian principles with model reduction technique or how stochastic model calibration can become feasible for large-scale applications. In: Fall Meeting 2013, Abstract: H24F-02. San Francisco, CA, USA: American Geophysical Union (AGU); 2014. (Fall Meeting 2013, Abstract: H24F-02).
    17. Most S, Bijeljic B, Nowak W. Is There a Critical Distance for Fickian Transport? - a Statistical Approach to Sub-Fickian Transport Modelling in Porous Media. In: Fall Meeting 2014, Abstract: H23B-0868. San Francisco, CA, USA: American Geophysical Union (AGU); 2014. (Fall Meeting 2014, Abstract: H23B-0868).
  11. 2013

    1. Oladyshkin S, Class H, Nowak W. Bayesian updating via bootstrap filtering combined with data-driven polynomial chaos expansions:methodology and application to history matching for carbon dioxide storage in geological formations. Computational Geosciences. 2013;17(4):671–87.
    2. Leube P, de Barros FPJ, Nowak W, Rajagopal R. Towards optimal allocation of computer resources: trade-offs between uncertainty quantification,discretization and model reduction. Environmental Software and Modelling. 2013;50:97–107.
    3. Mehne J, Nowak W. Stochastic Extension of a Thermal-Electrochemical Lithium-Ion Battery Model. In San Francisco, CA, USA: 224th ECS meeting; 2013.
    4. Bode F, Binning P, Nowak W. What Factors Coordinate the Optimal Position of a Single Monitoring Well Down Gradient of a Hazardous Site. In: Fall Meeting 2013, Abstract: H21I-1175. San Francisco, CA, USA: American Geophysical Union (AGU); 2013. (Fall Meeting 2013, Abstract: H21I-1175).
    5. Geiges A, Nowak W, Rubin Y. Challenges for the sequential interaction between optimal design of field campaign and model calibration for non-linear systems. In: Fall Meeting 2013, Abstract: H24F-03. San Francisco, CA, USA: American Geophysical Union (AGU); 2013. (Fall Meeting 2013, Abstract: H24F-03).
    6. Oladyshkin S, Schröder P, Class H, Nowak W. Chaos Expansion Based Bootstrap Filter To Calibrate CO2 Injection Models. In: General Assembly 2013, Geophysical Research Abstracts 15: EGU2013-3214, 2013. Vienna, Austria: European Geosciences Union (EGU); 2013. (General Assembly 2013, Geophysical Research Abstracts 15: EGU2013-3214, 2013).
    7. Oladyshkin S, Nowak W. On polynomial chaos expansions under incomplete statistical input information. In München, Germany: Euromech colloquium 543; 2013.
    8. Ashraf M, Oladyshkin S, Nowak W. Geological storage of CO2: global sensitivity analysis and risk assessment using arbitrary polynomial chaos expansion. International Journal of Greenhouse Gas Control. 2013;19:704–19.
    9. Grathwohl P, Rügner H, Wöhling T, Osenbrück K, Schwientek M, Gayler S, et al. Catchments as Reactors: A comprehensive approach for water fluxes and solute turn-over            (Introduction to the Thematic Issue on Catchment Research). Environmental Earth Science. 2013;69(2):317–33.
    10. Tanaka N, Mehne J, Nowak W, Danzer M, Döring H, Bessler WG. Numerical Simulation and Experimental Validation for Thermal Runaway on Lithium-ion Cells. In Bad boll, Germany: 10th Symposium for Fuel Cell and Battery Modelling and Experimental Validation; 2013.
    11. Enzenhöfer R, Binning PJ, Nowak W. Challenges & Limitations in Risk Assessment and Aggregation (The STORM Framework. In Freudenstadt, Germany: NUPUS annual Meeting: : Institut für Wasserbau, Lehrstuhl für Hydromechanik und Hydrosystemmodellierung; 2013.
    12. Wöhling T, Geiges A, Nowak W, Gayler S. Evaluating experimental design for soil-plant model selection using a Bootstrap Filter and Bayesian model averaging. In: Fall Meeting 2013, Abstract: H33J-03. San Francisco, CA, USA: American Geophysical Union (AGU); 2013. (Fall Meeting 2013, Abstract: H33J-03).
    13. Wöhling T, Geiges A, Nowak W, Gayler S. Towards optimizing experiments for maximum-confidence model selection between different soil-plant models. Procedia Environmental Sciences. 2013;19:514–23.
    14. Nowak W, Litvinenko A. Kriging and spatial design accelerated by orders of magnitude: combining low-rank covariance approximations with FFT-techniques. Mathematical Geosciences. 2013;45(4):411–35.
    15. Schöniger A, Wöhling WNT. Do Bayesian model weights tell the whole story? New analysis and optimal design tools for maximum-confidence model selection. In: Fall Meeting 2013, Abstract: H33J-02. San Francisco, CA, USA: American Geophysical Union (AGU); 2013. (Fall Meeting 2013, Abstract: H33J-02).
    16. Bode F, Nowak W. Optimization Early-Warning Monitoring Systems for Improved Drinking Water Resource Protection. In NUPUS annual Meeting: Institut für Wasserbau, Lehrstuhl für Hydromechanik und Hydrosystemmodellierung; 2013.
  12. 2012

    1. Koch J, Nowak W, de Barros FPJ, Dentz M. Three-dimensional Scalar Mixing in Porous Media - Flow Heterogeneity and Mixing Enhancement. In: General Assembly 2012, Geophysical Research Abstracts 14: EGU2012-12189, 2012. Vienna, Austria: European Geosciences Union (EGU); 2012. (General Assembly 2012, Geophysical Research Abstracts 14: EGU2012-12189, 2012).
    2. Enzenhöfer R, Nowak W, Helmig R. Probabilistic Exposure Risk Assessment with Advective-Dispersive Well Vulnerability Criteria. Advances in Water Resources. 2012;36:121–32.
    3. Ashraf M, Oladyshkin S, Nowak W. Geological storage of CO$_2$: sensitivity analysis and risk assessment using arbitrary polynomial chaos expansion. In: General Assembly 2012, Geophysical Research Abstracts 14: EGU2012-9243, 2012. Vienna, Austria: European Geosciences Union (EGU); 2012. (General Assembly 2012, Geophysical Research Abstracts 14: EGU2012-9243, 2012).
    4. Oladyshkin S, Nowak W. Polynomial Response Surfaces for Probabilistic Risk Assessment and Risk Control via Robust Design (Book). Luo Y, editor. Novel Approaches and Their Applications in Risk Assessment, ISBN: 978-953-51-0519-0 [Internet]. 2012; Available from: /brokenurl#www.intechopen.com/books/
    5. Nowak W. Recent Advances in Optimizing Field Campaigns. In: General Assembly 2012, Geophysical Research Abstracts 14: EGU2012-9365, 2012. Vienna, Austria: European Geosciences Union (EGU); 2012. (General Assembly 2012, Geophysical Research Abstracts 14: EGU2012-9365, 2012).
    6. Enzenhöfer R, Rodriguez-Pretelin A, Nowak W. Probabilistic well-head protection under transient flow conditions. In Paris, France: Groundwater Vulnerability- Emerging Issues and New Approaches (IMVUL); 2012.
    7. Mehne J, Nowak W, Danzer M, Döring H, Tanaka N, Bessler WG. Towards Predicting Thermal Runaway of Lithium-Ion Batteries. In Ulm, Germany: 13th Ulmer Electrochemical Talks; 2012.
    8. Schöniger A, Nowak W, Franssen HJH. Parameter estimation by ensemble Kalman filters with transformed data: Approach and application to hydraulic tomography. Water Resources Research. 2012;48(W04502).
    9. Leube P, Geiges A, Nowak W. Bayesian assessment of the expected data impact on prediction confidence in optimal sampling design. Water Resources Research. 2012;48(W02501).
    10. Enzenhöfer R, Nowak W. Well-head Protection: Time matters? But how much? In Mühlheim an der Ruhr, Germany: NUPUS annual Meeting: Institut für Wasserbau, Lehrstuhl für Hydromechanik und Hydrosystemmodellierung; 2012.
    11. Troldborg M, Nowak W, Lange I, Santos M, Binning P, Bjerg PL. Application of Bayesian geostatistics for evaluation of mass discharge uncertainty at contaminated sites. Water Resources Research. 2012;48(W09535).
    12. Oladyshkin S, Nowak W. Analyzing the expansion order for polynomial chaos expansions in the light of imprecise information on statistical input distributions. In Boulder, CO, USA: 1st International Conference on Frontiers in Computational Physics: Modeling the Earth System; 2012.
    13. Enzenhöfer R, Rodriguez-Pretelin A, Nowak W. Transient flow conditions in probabilistic wellhead protection: importance and ways to manage spatial and temporal uncertainty in capture zone delineation. In: Fall Meeting 2012, Abstract: H33I-1443. San Francisco, CA, USA: American Geophysical Union (AGU); 2012. (Fall Meeting 2012, Abstract: H33I-1443).
    14. Oladyshkin S, Nowak W. Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion. Reliability Engineering and System Safety. 2012;106:179–90.
    15. Oladyshkin S, de Barros FPJ, Nowak W. Global sensitivity analysis: a flexible and efficient framework with an example from stochastic hydrogeology. Advances in Water Resources. 2012;37:10–22.
    16. de Barros FPJ, Dentz M, Koch J, Nowak W. Flow topology and scalar mixing in heterogeneous porous media. Geophysical Research Letters. 2012;39(L08404).
    17. Cirpka OA, Rolle M, Chiogna G, de Barros FPJ, Nowak W. Stochastic Evaluation of Mixing-Controlled Steady-State Plume Lengths in Two-Dimensional Heterogeneous Domains. Journal of Contaminant Hydrology. 2012;138–139:22–39.
    18. Tartakovsky D, Nowak W, Bolster D. Introduction to the special issue on uncertainty quantification and risk assessment. Advances in Water Resources. 2012;36:1–2.
    19. Geiges A, Nowak W. A reverse analysis framework for the assessment of data worth in optimal design. In: Fall Meeting 2012, Abstract: H11K-05. San Francisco, CA, USA: American Geophysical Union (AGU); 2012. (Fall Meeting 2012, Abstract: H11K-05).
    20. Enzenhöfer R, Bunk T, Nowak W, Enzenhöfer R, Bunk T, Nowak W. Nine Steps to risk-informed well-head protection and management via probabilistic vulnerability criteria. In Paris, France: Groundwater Vulnerability- Emerging Issues and New Approaches (IMVUL); 2012.
    21. Leube P, Nowak W, Schneider G. Temporal Moments revisited: Why there is there nobetter way for physically-based model reduction in time. Water Resources Research. 2012;48(W11527).
    22. Nowak W, Rubin Y, de Barros FPJ. A hypothesis-driven approach to optimal site investigation. Water Resources Research. 2012;48(W06509).
  13. 2011

    1. Cirpka OA, de Barros FPJ, Chiogna G, Nowak W. Probability Density Function of Steady-State Concentration in Two-Dimensional Heterogeneous Porous Media. Water Resources Research. 2011;47(W11523).
    2. Leube P, Nowak W. Temporal Moments revised, or is there a better way for physically-based model reduction in time? In: General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-6756, 2011. Vienna, Austria: European Geosciences Union (EGU); 2011. (General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-6756, 2011).
    3. Oladyshkin S, Class H, Helmig R, Nowak W. Bayesian updating on arbitrary polynomial chaos expansion: application to carbon dioxide storage in geological formations. In Poitiers, France: Invited lecture: Pprime CNRS, CEAT; 2011.
    4. Oladyshkin S, Class H, Helmig R, Nowak W. Modeling of underground carbon dioxide storage: data-driven robust design and probabilistic risk assessment. In Stuttgart, Germany: SimTech 2011 - International Conference on Simulation Technology 2011; 2011.
    5. Enzenhöfer R, Geiges A, Nowak W, Helmig R. Optimal risk management support in actively managed well catchments by means of probabilistic vulnerability criteria. In Stuttgart, Germany: SimTech 2011 - International Conference on Simulation Technology 2011; 2011.
    6. Nowak W, Rubin Y, de Barros FPJ. Optimizing field investigation strategies to answer research hypotheses. In: General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-7582, 2011. Vienna, Austria: European Geosciences Union (EGU); 2011. (General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-7582, 2011).
    7. Oladyshkin S, Class H, Helmig R, Nowak W. Data-driven framework for history matching: application to carbon dioxide storage in geological formations. In: General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-11137, 2011. Vienna, Austria: European Geosciences Union (EGU); 2011. (General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-11137, 2011).
    8. Enzenhöfer R, Nowak W. Rational risk-based decision support for drinking water well managers by optimized monitoring designs. In: Fall Meeting 2011, Abstract: H13B-1191. San Francisco, CA, USA: American Geophysical Union (AGU); 2011. (Fall Meeting 2011, Abstract: H13B-1191).
    9. Enzenhöfer R, Nowak W. Quantitative Aggregierung von Einzelrisiken zum Gesamtrisiko für Brunneneinzugsgebiete. In Mannheim, Germany: F&E-Projekttreffen: W 1/01/10 Risikomanagement für Wasserschutzgebiete; 2011.
    10. Enzenhöfer R, Geiges A, Koch J, Leube P, Mehne J, Oladyshkin S, et al. Zurück in die Unsicherheit - Stochastische Modellierung von Hydrosystemen. In Stuttgart, Germany: LH2-Kolloquium; 2011.
    11. Hlawatsch M, Leube P, Nowak W, Weiskopf D. Flow Radar Glyphs-Static Visualization of Unsteady Flow with Uncertainty. IEEE Transactions on Visualization and Computer Graphics. 2011;17(12):1949–58.
    12. Geiges A, Nowak W. A reverse engineering approach to optimal design of site investigation schemes and monitoring networks. In: General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-7612, 2011. Vienna, Austria: European Geosciences Union (EGU); 2011. (General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-7612, 2011).
    13. Mehne J, Nowak W. Optimization of Pilot Point Locations for Conditional Simulation of Heterogeneous Aquifers. In: Fall Meeting 2011, Abstract: H23D-1298. San Francisco, CA, USA: American Geophysical Union (AGU); 2011. (Fall Meeting 2011, Abstract: H23D-1298).
    14. Cirpka OA, de Barros FPJ, Chiogna G, Rolle M, Nowak W. Stochastic Flux-Related Analysis of Transverse Mixing in Two-Dimensional Heterogeneous Porous Media. Water Resources Research. 2011;47(W06515).
    15. de Barros FPJ, Oladyshkin S, Nowak W. An integrative data-adaptive approach for global sensitivity analysis: application to subsurface flow and transport. In Stuttgart, Germany: SimTech 2011 - International Conference on Simulation Technology 2011; 2011.
    16. Koch J, Nowak W, Bardossy A. Contaminant source architecture (CSA) identification and simulation. In: Fall Meeting 2011, Abstract: H33J-08. San Francisco, CA, USA: American Geophysical Union (AGU); 2011. (Fall Meeting 2011, Abstract: H33J-08).
    17. Enzenhöfer R, Nowak W, Helmig R. Risk management with probabilistic advective-dispersive well vulnerability criteria. In: General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-7822, 2011. Vienna, Austria: European Geosciences Union (EGU); 2011. (General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-7822, 2011).
    18. Enzenhöfer R, Nowak W. Risikomanagement im Grundwasserschutzgebiet - ein präventives probabilistisches Trinkwasserschutzkonzept. Stuttgart; 2011.
    19. Enzenhöfer R, Nowak W, Helmig R. Probabilistic exposure risk assessment with advective-dispersive well vulnerability criteria. In Freudenstadt, Germany: NUPUS annual Meeting: Institut für Wasserbau, Lehrstuhl für Hydromechanik und Hydrosystemmodellierung; 2011.
    20. Nowak W, de Barros FPJ, Rubin Y. A hypothesis-driven approach to optimal site investigation. In Stuttgart, Germany: SimTech 2011 - International Conference on Simulation Technology 2011; 2011.
    21. Koch J, Nowak W, Bardossy A. Identification and simulation of contaminant source architecture. In: General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-7522, 2011. Vienna, Austria: European Geosciences Union (EGU); 2011. (General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-7522, 2011).
    22. Oladyshkin S, Class H, Helmig R, Nowak W. An Integrative Approach to Robust Design and Probabilistic Risk Assessment for CO$_2$ Storage in Geological Formations. Computer Geosciences. 2011;15(3):565–77.
    23. Enzenhöefer R, Nowak W. Strategic Asset Management of Water and Wastewater Infrastructure. In Mühlheim an der Ruhr, Germany: nternational Water Association (IWA); 2011.
    24. Oladyshkin S, Class H, Helmig R, Nowak W. A concept for data-driven probabilistic risk assessment and application to carbon dioxide storage in geological formations. Advances in Water Resources. 2011;34:1508–18.
    25. de Barros FPJ, Bolster D, Sanchez-Vila X, Nowak W. A Divide and Conquer Approach to Cope with Uncertainty, Human Health Risk and Decision Making in Contaminant Hydrology. Water Resources Research. 2011;47(W05508).
    26. Leube P, Nowak W, Schneider G. Temporal Moments revisited: Why there is there no better way for physically-based model reduction in time. In: Fall Meeting 2011, Abstract: H23D-1314. San Francisco, CA, USA: American Geophysical Union (AGU); 2011. (Fall Meeting 2011, Abstract: H23D-1314).
    27. Enzenhöfer R, Nowak W. Optimal designed risk catchment management by means of proabilistic well vulnerability criteria. In Mühlheim an der Ruhr, Germany: Strategic Asset Management of Water and Wastewater Infrastructure; 2011.
    28. Oladyshkin S, Class H, Helmig R, Nowak W. Efficient Bayesian updating with PCE-based particle filters based on polynomial chaos expansion and CO$_2$ storage. In: Fall Meeting 2011, Abstract: GC51A-0928. San Francisco, CA, USA: American Geophysical Union (AGU); 2011. (Fall Meeting 2011, Abstract: GC51A-0928).
    29. de Barros FPJ, Dentz M, Koch J, Nowak W. Vortex Induced-Mixing in Heterogeneous Porous Media. In: Fall Meeting 2011, Abstract: H31E-1212. San Francisco, CA, USA: American Geophysical Union (AGU); 2011. (Fall Meeting 2011, Abstract: H31E-1212).
    30. Geiges A, Nowak W. Optimal Design of site investigation: Entropy based Utility functions and efficient implementations. In: Fall Meeting 2011, Abstract: H21H-04. San Francisco, CA, USA: American Geophysical Union (AGU); 2011. (Fall Meeting 2011, Abstract: H21H-04).
  14. 2010

    1. Nowak W. Challenges and demands from the application side: An example from CO$_2$ injection into the subsurface. In Stuttgart, Germany: Workshop: Numerical Analysis of Stochastic PDEs (NASPDE); 2010.
    2. Enzenhöfer R, Nowak W, Helmig R. Quantification of Uncertainty for Transport-QBased Well Vulnerability Criteria. In Freudenstadt, Germany: NUPUS annual Meeting: Institut für Wasserbau, Lehrstuhl für Hydromechanik und Hydrosystemmodellierung; 2010.
    3. Troldborg M, Nowak W, Tuxen N, Bjerg PL, Helmig R, Binning PJ. Uncertainty evaluation of mass discharge estimates from a contaminated site using a fully Bayesian framework. Water Resources Research. 2010;46(12).
    4. Oladyshkin S, Class H, Helmig R, Nowak W, de Barros FPJ, Ashraf M. Data-driven polynomial response surfaces as efficient tool for applied tasks under uncertainty. In Research Triangle Park, NC, USA: SAMSI Geosciences Applications Opening Workshop; 2010.
    5. Nowak W, de Barros FPJ, Geiges A, Leube P. Optimal Site Investigation: What data to collect so that calibrated models have best prognistic power? In Tübingen, Germany: Invited lecture: FH-DGG Tagung 2010, Grundwasser für die Zukunft; 2010.
    6. Sanchez-Vila X, de Barros FPJ, Bolster D, Nowak W. Divide and Conquer: A Valid Approach for Risk Assessment and Decision Making under Uncertainty for Groundwater-Related Diseases. In: Fall Meeting 2010, Abstract: H41L-05. San Francisco, CA, USA: American Geophysical Union (AGU); 2010. (Fall Meeting 2010, Abstract: H41L-05).
    7. Troldborg M, Nowak W, Binning PJ, Løgstrup PB, Helmig R. Uncertainty estimation of the mass discharge from a contaminated site using a fully Bayesian framework. In: Schirmer M, Hoehn E, Vogt T, editors. Seventh International Groundwater Quality Conference: Groundwater Quality Management in a Rapidly Changing World (GQ10). Zurich, Switzerland: IAHS Press; 2010. p. (Schirmer M, Hoehn E, Vogt T, editors. Seventh International Groundwater Quality Conference: Groundwater Quality Management in a Rapidly Changing World (GQ10); vol. 342).
    8. de Barros FPJ, Nowak W. On the Link Between Contaminant Source Release Conditions and Plume Prediction Uncertainty. Journal of Contaminant Hydrology. 2010;116:24–34.
    9. Nowak W, de Barros FPJ, Rubin Y. Bayesian Geostatistical Design: Task-Driven Optimal Site Investigation when the Geostatistical Model is Uncertain. Water Resources Research. 2010;46(W03535).
    10. Enzenhöfer R, Nowak W, Helmig R. Using probabilistic well vulnerability criteria for a risk-based preventive drinking water safety concept. In: Schirmer M, Hoehn E, Vogt T, editors. Conceptual and Modelling Studies of Integrated Groundwater, Surface Water, and Ecological Systems. Zurich, Switzerland: IAHS Press; 2010. p. (Schirmer M, Hoehn E, Vogt T, editors. Conceptual and Modelling Studies of Integrated Groundwater, Surface Water, and Ecological Systems; vol. 342).
    11. Nowak W, de Barros FPJ, Rubin Y. Hypothesis-driven site investigation. In Monte Veritá, Switzerland: Thirty years of stochastic subsurface hydrology: Where do we stand and what are the emerging challenges; 2010.
    12. de Barros FPJ, Nowak W. Identifying Contaminant Release Conditions to Reduce Uncertainty in Plume Spreading and Dilution in Heterogeneous Aquifers. In: Computational Methods in Water Resources (CMWR). XVIII International Conference on Water Resources; 2010. (Computational Methods in Water Resources (CMWR)).
    13. Kokkinaki A, Sleep BE, Chambers JE, Cirpka OA, Nowak W. On the value of incorporating spatial statistics in large-scale geophysical inversions: the QSABRe case. In: Fall Meeting 2010, Abstract: H11E-0858. San Francisco, CA, USA: American Geophysical Union (AGU); 2010. (Fall Meeting 2010, Abstract: H11E-0858).
    14. Oladyshkin S, Class H, Helmig R, Nowak W. Data-driven framework for modeling of CO$_2$ storage: probabilistic risk assessment, robust design and history matching. In Princeton, NJ, USA: Workshop: Scale of resolution, model complexity and solution approaches for CO2 storage problems; 2010.
    15. Oladyshkin S, Class H, Helmig R, Nowak W. Chaos expansion for uncertainty quantification of multiphase flow in CO$_2$ storage reservoirs. In Nancy, France: JEMP 2010; 2010.
    16. Leube P, Geiges A, Nowak W. A flexible Bayesian assessment for the expected impact of data on prediction confidence for optimal sampling designs. In: General Assembly 2010, Geophysical Research Abstracts 12: EGU2010-12375, 2010. Vienna, Austria: European Geosciences Union (EGU); 2010. (General Assembly 2010, Geophysical Research Abstracts 12: EGU2010-12375, 2010).
    17. Rubin Y, Nowak W, de Barros FPJ. A Task-oriented Approach for Hydrogeological Site Characterization. In: Fall Meeting 2010, Abstract: H41L-06. San Francisco, CA, USA: American Geophysical Union (AGU); 2010. (Fall Meeting 2010, Abstract: H41L-06).
    18. Nowak W. Measures of Parameter Uncertainty in Geostatistical Estimation and Geostatistical Optimal Design. Mathematical Geosciences. 2010;42(2):199–221.
    19. Nowak W, de Barros FPJ, Cirpka OA. Enhanced dilution and transverse mixing due to flow focusing: a stochastic-analytical approach. In: Fall Meeting 2010, Abstract: H54C-06. San Francisco, CA, USA: American Geophysical Union (AGU); 2010. (Fall Meeting 2010, Abstract: H54C-06).
    20. Oladyshkin S, Class H, Helmig R, Nowak W. Data-driven robust design and probabilistic risk assessment: application to underground carbon dioxide storage. In: Fall Meeting 2010, Abstract: H41L-03. San Francisco, CA, USA: American Geophysical Union (AGU); 2010. (Fall Meeting 2010, Abstract: H41L-03).
    21. Oladyshkin S, Class H, Helmig R, Nowak W. Probabilistic risk assessment for CO$_2$ storage in geological formations: robust design and support for decision making under uncertainty. In: General Assembly 2010, Geophysical Research Abstracts 12: EGU2010-3559, 2010. Vienna, Austria: European Geosciences Union (EGU); 2010. (General Assembly 2010, Geophysical Research Abstracts 12: EGU2010-3559, 2010).
    22. Oladyshkin S, Class H, Hofmann R, Nowak W. Highly efficient tool for probabilistic risk assessment of CCS joint with injection design. In Barcelone, Spain: XVIII. International Conference on Computational Methods in Water Resources (CMWR); 2010.
    23. Enzenhöfer R, Helmig R, Nowak W, Binning PJ. Uncertainty in Model parameter Estimates and Impacts on Risk and Decision Making in the Subsurface. In: Fall Meeting 2010, Abstract: H42D-05. San Francisco, CA, USA: American Geophysical Union (AGU); 2010. (Fall Meeting 2010, Abstract: H42D-05).
  15. 2009

    1. Nowak W. Using Ensemble Kalman Filters for Bayesian Geostatistical Inversion. In: Fall Meeting 2009, Abstract: H53N-02. San Francisco, CA, USA: American Geophysical Union (AGU); 2009. (Fall Meeting 2009, Abstract: H53N-02).
    2. Nowak W. Uncertainty analysis in hydrometry: parameter and prediction uncertainty in subsequent modelling. In Vancouver, Canada: 33rd IAHR Congress: Water Engineering for a Sustainable Environment; 2009.
    3. Fritz J, Nowak W, Neuweiler I. Application of FFT-based Algorithms for Large-Scale Universal Kriging Problems. Mathematical Geosciences. 2009;51(5):199–221.
    4. Oladyshkin S, Nowak W, Helmig R. Joint design and probabilistic risk assessment for CO$_2$ storage by integral probabilistic collocation method. In Stuttgart, Germany: International conference on Non-linearities and Upscaling in Porous Media (NUPUS); 2009.
    5. de Barros FPJ, Nowak W, Rubin Y. Uncertainty of human health risk predictions under different site exploration strategies. In: Fall Meeting 2009, Abstract: H13B-0934. San Francisco, CA, USA: American Geophysical Union (AGU); 2009. (Fall Meeting 2009, Abstract: H13B-0934).
    6. Enzenhöfer R, Helmig R, Nowak W, Binning PJ. Risk assessment in fractured porous media with particular reference to water catchments. In: General Assembly 2009, Geophysical Research Abstracts 11: EGU2009-10661-1, 2009. Vienna, Austria: European Geosciences Union (EGU); 2009. (General Assembly 2009, Geophysical Research Abstracts 11: EGU2009-10661-1, 2009).
    7. Troldborg M, Nowak W, Tuxen N, Bjerg PL, Helmig R, Binning P. Quantifying uncertainty in mass discharge estimates from contaminated sites using a fully Bayesian framework. ModelCARE: Calibration and Reliability in Groundwater Modeling - Managing Groundwater and the Environment (20 - 23 September 2009, Wuhan, China) China University of Geosciences, 9/2009. 2009;
    8. Nowak W, de Barros FPJ, Rubin Y. Bayesian Geostatistical Design: Optimal Site Investigation When the Geostatistical Model is Uncertain. In: General Assembly 2009, Geophysical Research Abstracts 11: EGU2009-45565, 2009. Vienna, Austria: European Geosciences Union (EGU); 2009. (General Assembly 2009, Geophysical Research Abstracts 11: EGU2009-45565, 2009).
    9. Nowak W. Best unbiased ensemble linearization and the Quasi-Linear Kalman Ensemble Generator. Water Resources Research. 2009;45(W04431).
    10. Nowak W. Stochastic Simulation and Bayesian Principles, with Examples from Stochastic Hydrogeology. In Stuttgart, Germany: ASIM-Workshop: Grundlagen und Methoden der Modellbildung und Simulation; 2009.
  16. 2008

    1. Vasin M, Lehmann P, Kaestner A, Hassanein R, Nowak W, Neuweiler I. Drainage in Heterogeneous Sand Columns with Different Geometric Structures. Advances in Water Resources. 2008;31(9):1205–20.
    2. Fienen M, Hunt RJ, Clemo T, Nowak W, Doherty J. Implementation of a bayesian geostatistical parameter estimation module into PEST. In Orange Beach, AL, USA: USGS Modeling Conference; 2008.
    3. Nowak W, Schwede RL, Cirpka OA, Neuweiler I. Probability density functions of hydraulic head and velocity in three-dimensional heterogeneous porous media. Water Resources Research. 2008;44(W08452).
    4. Schwede RL., Cirpka OA, Nowak W, Neuweiler I. Impact of sampling volume on the probability density function of steady state concentration. Water Resources Research. 2008;44(W12433).
    5. Nowak W. A hypothesis-driven approach to site investigation. In: Fall Meeting 2008, Abstract: H53F-1485. San Francisco, CA, USA: American Geophysical Union (AGU); 2008. (Fall Meeting 2008, Abstract: H53F-1485).
  17. 2007

    1. Nowak W, Schwede RL, Cirpka OA, Neuweiler I. Probability Density Functions of Hydraulic Head and Velocity in Three-Dimensional Heterogeneous Porous Media. In: Fall Meeting 2007, Abstract: H23G-1691. San Francisco, CA, USA: American Geophysical Union (AGU); 2007. (Fall Meeting 2007, Abstract: H23G-1691).
    2. Schwede RL, Nowak W, Cirpka OA. Impact of Sampling Volume on the Probability Density Function of Steady-State Concentration. In: Fall Meeting 2007, Abstract: H14C-02. San Francisco, CA, USA: American Geophysical Union (AGU); 2007. (Fall Meeting 2007, Abstract: H14C-02).
    3. Neuweiler I, Nowak W. Relation Between Connected Patterns in Heterogeneous Soil Parameter Fields and Solute Transport Models in the Unsaturated Zone. In: Fall Meeting 2007, Abstract: H34E-02. San Francisco, CA, USA: American Geophysical Union (AGU); 2007. (Fall Meeting 2007, Abstract: H34E-02).
  18. 2006

    1. Nowak W, Cirpka OA. Geostatistical Inference of Hydraulic Conductivity and Dispersivities from Hydraulic Heads and Tracer Data. Water Resources Research. 2006;42(W08416).
  19. 2005

    1. Nowak W, Cirpka OA. Geostatistical Inversion of Conductivity and Dispersivities for Hydraulic Heads and Tracer Data from a Sandbox Experiment. In: Fall Meeting 2005, Abstract: H21G-03. San Francisco, CA, USA: American Geophysical Union (AGU); 2005. (Fall Meeting 2005, Abstract: H21G-03).
    2. Rahman MA, Jose SC, Nowak W, Cirpka OA. Experiments on vertical transverse mixing in a large-scale heterogeneous model aquifer. Journal of Contaminant Hydrology. 2005;80(3):130–48.
    3. Nowak W. Geostatistical Methods for the Identification of Flow and Transport Parameters in Subsurface Flow [PhD dissertation]. [http://elib.uni-stuttgart.de/opus/frontdoor.php?source extunderscoreopus=2275]: Promotionsschrift Nr. 134, Mitteilungsheft des Instituts für Wasserbau Nr. 134 (Promotionsschrift) Institut für Wasserbau, Universität Stuttgart, 2005. ISBN: 3-933761-37-9; 2005.
    4. Li W, Nowak W, Cirpka OA. Geostatistical inversing of transient pumping tests using temporal moments of drawdown. In: General Assembly 2005, Geophysical Research Abstracts 7: 02215, 2005. Vienna, Austria: European Geosciences Union (EGU); 2005. (General Assembly 2005, Geophysical Research Abstracts 7: 02215, 2005).
    5. Cirpka OA, Nowak W, Bürger CM. Linearized uncertainty propagation, geostatistical inversing, and data-worth analysis in heterogeneous aquifers. In: General Assembly 2005, Geophysical Research Abstracts 7: 01539, 2005. Vienna, Austria: European Geosciences Union (EGU); 2005. (General Assembly 2005, Geophysical Research Abstracts 7: 01539, 2005).
    6. Li W, Nowak W, Cirpka OA. Geostatistical inverse modeling of transient pumping tests using temporal moments of drawdown. Water Resources Research. 2005;41(W08403).
  20. 2004

    1. Cirpka OA, Bürger CM, Nowak W, Finkel M. Uncertainty and data worth analysis for the hydraulic design of funnel-and-gate systems in heterogeneous aquifers. Water Resources Research. 2004;40(W11502).
    2. Nowak W, Cirpka OA. A modified Levenberg-Marquardt Algorithm for Quasi-linear Geostatistical Inversing. Advances in Water Resources. 2004;27(7):737–50.
    3. Cirpka OA, Nowak W. First-order variance of travel time in non-stationary formations. Water Resources Research. 2004;40(W03507).
    4. Cirpka OA, Nowak W, Jose SC. Effective Dispersion in Heterogeneous Media: Comparison between Experiments, Inverse Modeling, and First-Order Theory. In: Fall Meeting 2004, Abstract: H13H-06. San Francisco, CA, USA: American Geophysical Union (AGU); 2004. (Fall Meeting 2004, Abstract: H13H-06).
  21. 2003

    1. Cirpka OA, Nowak W. Dispersion on kriged hydraulic conductivity fields. Water Resources Research. 2003;39(2):1027.
    2. Nowak W, Cirpka OA. Efficient computational methods for iterative cokriging. In: World Water and Environmental Resources Congress (WWER) 2003: Groundwater Quality Modeling an Management Under Uncertainty. Philadelphia, PA, USA: ASCE; 2003. p. 112–21. (World Water and Environmental Resources Congress (WWER) 2003: Groundwater Quality Modeling an Management Under Uncertainty).
    3. Cirpka OA, Nowak W. First-order variance of solute travel time in non-stationary media. In: Fall Meeting 2003, Abstract: H11G-0920. San Francisco, CA, USA: American Geophysical Union (AGU); 2003. (Fall Meeting 2003, Abstract: H11G-0920).
    4. Nowak W, Tenkleve S, Cirpka OA. Efficient computation of linearized cross-covariance and auto-covariance matrices of interdependent quantities. Mathematical Geology. 2003;35(1):53–66.
  22. 2002

    1. Cirpka OA, Nowak W. Influence of Geostatistical Interpolation of Log-Hydraulic Conductivity on Dispersion and Mixing. In: Bridging the Gap between Measurement and Modeling in Heterogeneous Media. Lawrence Berkeley Laboratory, University of California, Berkeley, CA. USA: International Groundwater Symposium; 2002. (Bridging the Gap between Measurement and Modeling in Heterogeneous Media).
  23. 2000

    1. Nowak W. Age determination of a TCE source zone using solute transport profiles in an underlying clayey aquitard. 2000.

06/2000 Environmental Engineering, University of Stuttgart
06/2000
M.Sc. WAREM, University of Stuttgart
11/2004
PhD, University of Stuttgart
08/2007
Postdoc, University of Stuttgart
09/2008
Postdoc, University California at Berkeley (USA)
09/2008 - 08/2014
Junior Professor, Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart
Since 09/2014
Professor and head of "Stochastic Simulation and Safety Research for Hydrosystems", Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart

Memberships
International Society for Porous Media (InterPore)
American Geophysical Union (AGU)