Jonathan Koh

Jonathan Koh

PhD in Statistics

Publications

Articles (in revision)

  • Allen, S., Koh, J., Segers, J., Ziegel, J. (2024+). Tail calibration of probabilistic forecasts. ArXiv:2407.03167

  • Koh, J. (2024+). Statistics of extremes for natural hazards: wildfires. Book chapter in preparation, for Chapman and Hall/CRC Handbook on Statistics of Extremes.

  • Koh, J., Steinfeld, D., Martius, O. (2023+). Using spatial extreme-value theory with machine learning to model and understand spatially compounding extremes. ArXiv: 2401.12195.

  • Koh, J., Opitz, T. (2023+). Extreme-value modelling of migratory bird arrival dates: Insights from citizen-science data. ArXiv: 2312.01870.

  • Beucler, T., Koch, E., Kotlarski, S., Leutwyler, D., Michel, A., Koh, J. (2023+). Next-Generation Earth System Models: Towards Reliable Hybrid Models for Weather and Climate Applications. ArXiv: 2311.13691

  • Barton, Y., Aregger, M., Koh, J., Martius, O. (2023+). Serial clustering of convective storms and link to sub-hourly rainfall extremes in Switzerland - a large-scale process perspective.

  • Koh, J., Koch, E., Davison, A. C. (2022+). Space-time extremes of severe US thunderstorm environments. ArXiv: 2201.05102.

Articles (published)

  • Koh, J. (2024). Discussion of “Inference for extreme spatial temperature events in a changing climate with application to Ireland” by Healy, J., Tawn J., Thorne, P. and Parnell, A.”. Journal of the Royal Statistical Society: Series C

  • Poschlod, B., Koh, J. (2024). Convection-permitting climate models can support observations to generate rainfall return levels. Water Resources Research, 60(4):e2023WR035159

  • Koh, J. (2023). Gradient boosting with extreme-value theory for wildfire prediction. Extremes, 26(2):273–299.

  • Koh, J., Pimont, F., Dupuy, J.-L., Opitz, T. (2023). Spatiotemporal wildfire modelling through point processes with moderate and extreme marks. The Annals of Applied Statistics, 17(1):560-582. Video here. Correction here.

  • Barton, Y., Rivoire, P., Koh, J., Ali, S. M., Kopp, J., Martius, O. (2022). On the temporal clustering of European extreme precipitation events and its relationship to persistent and transient large-scale atmospheric drivers. Weather and Climate Extremes, 38:e100518.

  • Koch, E., Koh, J., Davison, A. C., Lepore, C., Tippett, M. K. (2021). Trends in the extremes of environments associated with severe US thunderstorms. Journal of Climate, 34(4):1259–1272.

  • Davison, A. C., Koch, E., Koh, J. (2019). Comment: Models are approximations! Statistical Science, 34(4):584–590.

PhD Thesis