Dieses Bild zeigt  Anneli Guthke (geb. Schöniger)

Frau Dr. Dipl.-Ing.

Anneli Guthke (geb. Schöniger)

Postdoktorandin
Institut für Wasser- und Umweltsystemmodellierung (LS3/SimTech)

Kontakt

+49-711-685 60157

Visitenkarte (VCF)

Pfaffenwaldring 5a
D-70569 Stuttgart
Raum: 2.29

  1. 2020 (submitted)

    1. Guthke A, Bakhshipour AE, de Barros FPJ, Class H, Daniell JE, Dittmer U, et al. A Unified Framework for Quantitative Risk Assessment across Disciplines. Risk Analysis.
  2. 2020

    1. Schäfer Rodrigues Silva A, Guthke A, Höge M, Cirpka OA, Nowak W. Strategies for simplifying reactive transport models - a Bayesian model comparison. Water Resources Research. 2020;56:e2020WR028100.
    2. Höge M, Guthke A, Nowak W. Bayesian Model Weighting: The Many Faces of Model Averaging. Water [Internet]. 2020;12(2):309. Available from: https://www.mdpi.com/2073-4441/12/2/309
    3. Guthke A. The Unified Risk Equation - An Attempt to Unify Risk Assessment across Disciplines. In Munich, Germany: Engineering Risk Analysis Group, Technical University of Munich;
  3. 2019

    1. 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.
    2. Höge M, Guthke A, Nowak W. The Hydrologist’s Guide to Bayesian Model Selection, Averaging and Combination. Journal of Hydrology [Internet]. 572:96–107. Available from: http://www.sciencedirect.com/science/article/pii/S0022169419301532
    3. Guthke A. Justifiability is key - Bayesian analysis of system and model complexity. In Esch-sur-Alzette, Luxembourg: 10th EGU Leonardo Conference on Earth’s hydrological cycle: Global change, landscape ageing and the pulse of catchments;
  4. 2018

    1. 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); (General Assembly 2018, Geophysical Research Abstracts 20: EGU2018-12797, 2018).
    2. 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;
    3. Guthke Anneli. Model selection on solid ground: rigorous comparison of nine ways to evaluate Bayesian evidence. In Adelaide, Australia: STAHY 2018 Best Paper Award Session;
    4. 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);
    5. 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”;
    6. 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); (Fall Meeting 2018).
    7. Darscheid P, Guthke A, Ehret U. A Maximum-Entropy Method to Estimate Discrete Distributions  from Samples Ensuring Nonzero Probabilities. Entropy [Internet]. 2018;20(8). Available from: http://www.mdpi.com/1099-4300/20/8/601
    8. Schäfer-Rodrigues-Silva A, Seitz T, Guthke Anneli, Nowak W. Quantifying and visualizing similarity in multi-model ensembles. In Cargese, France: Summer school on “Flow and Transport in Porous and Fractured media”;
    9. Guthke A. A Bayesian take on model choice uncertainty: Statistical tools for model evaluation, selection and combination. In Karlsruhe, Germany: KIT, Institut für Wasser und Gewässerentwicklung, Lehrstuhl für Hydrologie;
    10. Schäfer-Rodrigues-Silva A, Guthke Anneli, Nowak W. Quantifying similarity in multi-model ensembles. In Tübingen, Germany: International Conference on Integrated Hydrosystem Modelling;
    11. 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
    12. Schäfer-Rodrigues-Silva A, Seitz T, Guthke Anneli, 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”;
  5. 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); (General Assembly 2017, Geophysical Research Abstracts 19: EGU2017-13390-1, 2017).
    2. Guthke A. Defensible Model Complexity: A Call for Data-Based and Goal-Oriented Model Choice. Groundwater [Internet]. 2017;55(5). Available from: http://dx.doi.org/10.1111/gwat.12554
  6. 2016

    1. 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.
    2. Nowak W, Guthke A. Entropy-based experimental design for optimal model discrimination in the geosciences. Entropy. 2016;18(11):409.
    3. 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); (General Assembly 2016, Geophysical Research Abstracts 20: EGU2016-12413, 2016).
  7. 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. 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); (General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-10293-1, 2015).
    3. 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.
    4. 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); (General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-2084-2, 2015).
    5. 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.
    6. 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;
    7. Schöniger A. Multi-model approaches to quantify conceptual uncertainty in environmental modelling. In Tübingen, Germany: International Conference on Integrated Hydrosystem Modelling;
  8. 2014

    1. 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); (Fall Meeting 2014, Abstract: H23K-1017).
    2. 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); (General Assembly 2014, Geophysical Research Abstracts 16: EGU2014-2211, 2014).
    3. Schöniger Anneli, 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.
  9. 2013

    1. 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); (Fall Meeting 2013, Abstract: H33J-02).
  10. 2012

    1. 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).

03/2010 Diplom Umweltschutztechnik, Universität Stuttgart
06/2012- 08/2015 Doktorandin, Zentrum für Angewandte Geowissenschaften, Universität Tübingen
Seit 07/2010 Projektleiterin Altlastenbearbeitung bei BoSS Consult GmbH, Stuttgart
09/2015-12/2016 Postdoktorandin, Zentrum für Angewandte Geowissenschaften, Universität Tübingen
Seit 01/2017 Postdoktorandin, Institut für Wasser- und Umweltsystemmodellierung, Universität Stuttgart

Stochastische Modellierung von Strömungs- und Transportprozessen im Untergrund

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