Publications

Publications in progress

  • Meiler, S., Lee, C.-Y., Camargo, S. J., & Sobel, A. H. Global coastal wind hazard maps from the CHAZ tropical cyclone model, submitted to Scientific Data.
  • Liu, J., Steinmann, C. B., Bresch, D. N., Meiler, S., Lohmann, U., & Hohermuth, B. Recalibrating Risk: A simplified model for North Atlantic hurricanes in a warming climate. Submitted to The Geneva Papers on Risk and Insurance – Issues and Practice.
  • Zimmermann, S., Meiler, S., Kam, P. M., Riedel, L., Ottonelli, D., Mühlhofer, E., Kropf, C. M., Trasforini, T., Rossi, L., Ghizzoni, T., Rudari, R., Ponserre, S., Bresch, D. N., Schewe, J. Predicting Flood-Induced Human Displacement: A Multi-Model Assessment for the Horn of Africa, Manuscript under review at Nature Sustainability.

Peer-reviewed publications

  • Meiler, S., Mühlhofer, E., Lüthi, S., Bresch, D. N., Ottonelli, D., Ghizzoni, T., Trasfaroni, E., Rudari, R., Rossi, L., Kasmalkar, I., Mohammadiamanab, N., Daou, D., Nguyen, T. L., Gyawali, D. R., Peter, M., Oakes, R., Souvignet, M., & Ponserre, S. (2025). A natural hazard risk modelling approach to human displacement—Frontiers & challenges. Environmental Research: Climate. https://doi.org/10.1088/2752-5295/ae014c
  • Wattin Håkansson, V., Meiler, S., Hülsen, S., Villiger, L., Bossut, M., McCaughey, J. W., Kropf, C. M., & Bresch, D. N. (2025). Beyond single company climate risk disclosure: Event-based physical risk reporting. Environmental Research: Climate, 4(3), 035014. https://doi.org/10.1088/2752-5295/adf912
  • Cologna, V., Meiler, S., Kropf, C.M. et al. Extreme weather event attribution predicts climate policy support across the world. Nat. Clim. Chang. 15, 725–735 (2025). https://doi.org/10.1038/s41558-025-02372-4
  • Meiler, S., Kropf, C. M., McCaughey, J. W., Lee, C.-Y., Camargo, S. J., Sobel, A. H., Bloemendaal, N., Emanuel, K., & Bresch, D. N. (2025). Navigating and attributing uncertainty in future tropical cyclone risk estimates. Science Advances, 11(16), eadn4607. https://doi.org/10.1126/sciadv.adn4607
  • Hülsen, S., Dee, L. E., Kropf, C. M., Meiler, S., & Bresch, D. N. (2025). Mangroves and their services are at risk from tropical cyclones and sea level rise under climate change. Communications Earth & Environment, 6(1), 1–9. https://doi.org/10.1038/s43247-025-02242-z
  • Stalhandske, Z., Steinmann, C. B., Meiler, S., Sauer, I. J., Vogt, T., Bresch, D. N., & Kropf, C. M. (2024). Global multi-hazard risk assessment in a changing climate. Scientific Reports, 14(1), 5875. https://doi.org/10.1038/s41598-024-55775-2
  • Meiler, S., Ciullo, A., Bresch, D. N., Kropf, C. M. (2023). Uncertainty and sensitivity analysis for probabilistic, global modelling of future tropical cyclone risk. 14th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP14. https://doi.org/10.25546/103244
  • Meiler, S., Ciullo, A., Kropf, C. M., Emanuel, K., & Bresch, D. N. (2023). Uncertainties and sensitivities in the quantification of future tropical cyclone risk. Communications Earth & Environment, 4(1), Article 1. https://doi.org/10.1038/s43247-023-00998-w
  • Meiler, S., Britten, G. L., Dutkiewicz, S., Moisander, P. H., & Follows, M. J. (2023). Challenges and opportunities in connecting gene count observations with ocean biogeochemical models: Reply to Zehr and Riemann (2023). Limnology and Oceanography, 68(6), 1413–1416. https://doi.org/10.1002/lno.12363
  • Ciullo, A., Strobl, E., Meiler, S., Martius, O., Bresch, D. N. (2023). Increasing countries’ financial resilience through global catastrophe risk pooling. Nature Communications 14, 922. https://doi.org/10.1038/s41467-023-36539-4
  • Meiler, S., Vogt, T., Bloemendaal, N., Ciullo, A., Lee, C.-Y., Camargo, S. J., Emanuel, K., Bresch, D. N. (2022). Intercomparison of regional loss estimates from global synthetic tropical cyclone models, Nature Communications, 13, 6156. https://doi.org/10.1038/s41467-022-33918-1
  • Kropf, C. M., Ciullo, A., Otth, L., Meiler, S., Rana, A., Schmid, E., McCaughey, J. W., Bresch, D. N. (2022). Uncertainty and sensitivity analysis for probabilistic weather and climate-risk modelling: an implementation in CLIMADA v.3.1.0. Geoscientifi Model Development, 15, 7177–7201. https://doi.org/10.5194/gmd-15-7177-2022
  • Meiler, S., Britten, G. L., Dutkiewicz, S., Gradoville, M. R., Moisander, P. H., Jahn, O., Follows, M. J. (2022). Constraining uncertainties of diazotroph biogeography from nifH gene abundance. Limnology and Oceanography. https://doi.org/10.1002/lno.12036

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