Get started
Author

Jonathan Koh

Observed names: J. Koh, Koh Boon Han, Jonathan, Koh Jonathan, Koh, Jonathan
Observed institutions: University of Bern, Oeschger Centre for Climate Change Research, ETH Zurich, Institute of Geography, Institute of Geography, Seminar for Statistics, École Polytechnique Fédérale de Lausanne
ORCID: 0000-0002-7287-0588
Observed ORCID: 0000-0002-7287-0588
OpenAlex ID: A5055893307
Gradient boosting with extreme-value theory for wildfire prediction
2023 · Jonathan Koh · Extremes · 44
PDF
Spatiotemporal wildfire modeling through point processes with moderate and extreme marks
2023 · Jonathan Koh, François Pimont, et al. · The Annals of Applied Statistics · 42
PDF
On the temporal clustering of European extreme precipitation events and its relationship to persistent and transient large-scale atmospheric drivers
2022 · Yannick Barton, Pauline Rivoire, et al. · Weather and Climate Extremes · 29
PDF
Trends in the Extremes of Environments Associated with Severe U.S. Thunderstorms
2020 · Erwan Koch, Jonathan Koh, et al. · Journal of Climate · 22
PDF
Convection‐Permitting Climate Models Can Support Observations to Generate Rainfall Return Levels
2024 · B. Poschlod, J. Koh · Water Resources Research · 19
PDF
Comment: Models Are Approximations!
2019 · Anthony C. Davison, Erwan Koch, et al. · Statistical Science · 4
Tail Calibration of Probabilistic Forecasts
2025 · Sam Allen, Jonathan Koh, et al. · Journal of the American Statistical Association · 3
PDF
Extreme-value modelling of migratory bird arrival dates: insights from citizen science data
2024 · Jonathan Koh, Thomas Opitz · Journal of the Royal Statistical Society Series A (Statistics in Society) · 3
Tail calibration of probabilistic forecasts
2024 · Sam Allen, Jonathan Koh, et al. · 3
Next-Generation Earth System Models: Towards Reliable Hybrid Models for Weather and Climate Applications
2023 · Beucler, Tom, Koch, Erwan, et al. · arXiv (Cornell University) · 3
PDF
Using spatial extreme-value theory with machine learning to model and understand spatially compounding weather extremes
2025 · Jonathan Koh, Daniel Steinfeld, et al. · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · 2
PDF
Space-Time Extremes of Severe U.S. Thunderstorm Environments
2024 · Jonathan Koh, Erwan Koch, et al. · Journal of the American Statistical Association · 2
Space-time extremes of severe US thunderstorm environments
2022 · Koh, Jonathan, Koch, Erwan, et al. · arXiv (Cornell University) · 1
PDF
A survival guide for assessing global fire risks to natural and human systems
2026 · Carmen B. Steinmann, Jonathan Koh, et al. · International Journal of Disaster Risk Reduction
Quantifying global wildfire impacts to natural and human systems using remote-sensing data
2026 · Carmen B. Steinmann, Jonathan Koh, et al.
Dragons or snakes: The impact of Chinese astrology on marriages and births
2025 · Jonathan Koh · Significance
Authors’ reply to the Discussion of ‘Extreme-value modelling of migratory bird arrival dates: insights from citizen-science data’
2025 · Jonathan Koh, Thomas Opitz · Journal of the Royal Statistical Society Series A (Statistics in Society)
PDF
Data requirements for assessing global socio-economic wildfire impacts and risks
2025 · Carmen B. Steinmann, Jonathan Koh, et al.
Space-Time Extremes of Severe U.S. Thunderstorm Environments
2025 · Koh, Jonathan, Koch, Erwan, et al. · Repository for Publications and Research Data (ETH Zurich)
Next-generation Earth system models: Towards reliable hybrid models for weather and climate applications (Section 5.2)
2025 · Beucler, Tom, Koch, Erwan, et al. · IRIS
Jonathan Koh’s contribution to the Discussion of ‘Inference for extreme spatial temperature events in a changing climate with application to Ireland’ by Healy et al.
2024 · Jonathan Koh · Journal of the Royal Statistical Society Series C (Applied Statistics)
Tail calibration of probabilistic forecasts
2024 · Allen, Sam, Koh, Jonathan, et al. · arXiv (Cornell University)
PDF
A globally-consistent modelling approach to assess socio-economic wildfire risks
2024 · Carmen B. Steinmann, Jonathan Koh, et al.
Combining observations and a high-resolution climate model for the generation of spatial rainfall return levels
2024 · Benjamin Poschlod, Jonathan Koh
Correction to: Spatiotemporal wildfire modeling through point processes with moderate and extreme marks
2024 · Jonathan Koh, François Pimont, et al. · The Annals of Applied Statistics
PDF
Works count: 39
Citation count: 178
H-index: 5
I10-index: 5
Year
Topic
Type