Publications

Publications of our group since 2022

For comprehensive publication lists of our team members including previous stages of their career, please see the team page!

Peer-reviewed articles

  1. 2023

    1. Reiser, P., Aguilar, J. E., Guthke, A., & Bürkner, P.-C. (2023). Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference. ArXiv Preprint ArXiv:2312.05153, (submitted).
    2. Ejaz, F., Guthke, A., Wöhling, T., & Nowak, W. (2023). Comprehensive uncertainty analysis for surface water and groundwater projections under climate change based on a lumped geo-hydrological model. Journal of Hydrology, 626. https://doi.org/10.1016/j.jhydrol.2023.130323
    3. White, J. T., Fienen, M. N., Moore, C. R., & Guthke, A. (2023). Editorial: Rapid, reproducible, and robust environmental modeling for decision support: worked examples and open-source software tools. Frontiers in Earth Science, 11. https://doi.org/10.3389/feart.2023.1260581
    4. Banerjee, I., Walter, P., Guthke, A., Mumford, K. G., & Nowak, W. (2023). The method of forced probabilities : a computation trick for Bayesian model evidence. Computational Geosciences, 27(1), Article 1. https://doi.org/10.1007/s10596-022-10179-x
  2. 2022

    1. Schäfer Rodrigues Silva, A., Weber, T. K., Gayler, S., Guthke, A., Höge, M., Streck, T., & Nowak, W. (2022). Diagnosing Similarities in Probabilistic Multi-Model Ensembles - an Application to Soil-Plant-Growth-Modeling. Modeling Earth Systems and Environment, 8, 5143–5175. https://doi.org/10.1007/s40808-022-01427-1
    2. Hsueh, H.-F., Guthke, A., Wöhling, T., & Nowak, W. (2022). Diagnosis of Model Errors With a Sliding Time-Window Bayesian Analysis. Water Resources Research, 58(2), Article 2. https://doi.org/10.1029/2021WR030590

Conference talks

  1. 2023

    1. Chaves, M. Á., Guthke, A., Ehret, U., & Gupta, H. (2023). UNITE: A Toolbox for Unified Diagnostic Evaluation of Physics-based, Data-driven and Hybrid Models based on Information Theory. EGU General Assembly Conference Abstracts, EGU23.
    2. Guthke, A. (2023). Modified Bayesian Calibration Approaches to Tackle the Erroneous-Model Problem. AGU Fall Meeting Conference Abstracts, AGU23.
  2. 2022

    1. Guthke, A., Hsueh, H.-F., Wöhling, T., & Nowak, W. (2022). Bayesian updating despite model errors? A sliding time-window approach to rescue. EGU General Assembly Conference Abstracts, EGU22--12525.
    2. Viswanathan, M., Weber, T. K., & Guthke, A. (2022). An alternative strategy for combining likelihood values in Bayesian calibration to improve model predictions. EGU General Assembly Conference Abstracts, EGU22--1210.

Poster contributions

  1. 2023

    1. Reiser, P., Aguilar, J. E., Guthke, A., & Bürkner, P.-C. (2023). Quantifying Uncertainty in Surrogate-based Bayesian Inference. International Conference on Data-Integrated Simulation Science (SimTech2023).
    2. Reiser, P. (2023). Quantifying Uncertainty in Surrogate-based Bayesian Inference. Bayes Comp 2023.
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