| The economics of climate change with endogenous preferences L Mattauch, C Hepburn, F Spuler, N Stern Resource and Energy Economics 69, 101312, 2022 | 29 | 2022 |
| Anthropogenic forcings and associated changes in fire risk in western North America and Australia during 2015/16 SFB Tett, A Falk, M Rogers, F Spuler, C Turner, J Wainwright, ... Bull. Am. Meteorol. Soc 99, S60-S64, 2018 | 20 | 2018 |
| Steering the climate system: an extended comment L Mattauch, R Millar, R van der Ploeg, A Rezai, A Schultes, F Venmans, ... | 11 | 2018 |
| ibicus: a new open-source Python package and comprehensive interface for statistical bias adjustment and evaluation in climate modelling (v1.0.1) FR Spuler, JB Wessel, E Comyn-Platt, J Varndell, C Cagnazzo Geoscientific Model Development 17 (3), 1249-1269, 2024 | 3 | 2024 |
| State of wildfires 2023–24 MW Jones, DI Kelley, CA Burton, F Di Giuseppe, MLF Barbosa, ... Earth System Science Data Discussions 2024, 1-124, 2024 | | 2024 |
| Identifying probabilistic weather regimes targeted to a local-scale impact variable FR Spuler, M Kretschmer, Y Kovalchuck, MA Balmaseda, TG Shepherd arXiv preprint arXiv:2402.15379, 2024 | | 2024 |
| RMM-VAE: a machine learning method for identifying probabilistic weather regimes targeted to a local-scale impact variable F Spuler, M Kretschmer, T Shepherd, MA Balmaseda, Y Kovalchuck NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning …, 2023 | | 2023 |
| Case studies in bias adjustment: addressing potential pitfalls through model comparison and evaluation using a new open-source python package F Spuler, J Wessel, C Cagnazzo, E Comyn-Platt EGU General Assembly Conference Abstracts, EGU-14254, 2023 | | 2023 |
