Supporting files for: Benefits and limits of controlled burning for climate change adaptation

These files support the publication: "Benefits and limits of controlled burning for climate adaptation" (in submission). They are grouped into four sub-folders: 1) Fireline intensity This documents the construction of a fireline intensity algorithm for the JULES-INFERNO dynamic global vegetation model. The R code provides a reproducible example, the INFERNO code shared enables comparison with the online model. To run the full model, please request the code from the Met Office. 2) Human fire use seasonality A method for calculating the seasonality of human fire use was described by Smith, Kasoar et al (2026): https://doi.org/10.1371/journal.pone.0339561 Here we demonstrate its application in the WHAM model of human fire use & management 3) Output analysis: historical This demonstrates model benchmarking and analysis of historical outputs. Overall, performance of JULES-INFERNO is improved through integration of WHAM! 4) Output analysis: future This provides code and results to reproduce analyses presented in the main manuscript text & supporting data. Raster-based model results are shared for 2015, 2050 & 2100 across all metrics asssessed in the study, as are timeseries of key variables. Annual ncdf model results from 2015-2100 (~100GB) are available on request. Please send all comments & corrections to [e-mail] NB - v1 files underwent a minor edit on 2 February 2026 [originally published 22 Jan]. This was to: a) be explicit that Spearman's rho was used in correlation tests (i.e. method = 'Spearman' in /Output_analysis_future/main_text_numbers.R). b) correct colour scheme in future plot of impact of Integrated fire management (Figures 4a, b in /Output_analysis_future/main_text_plots.R). This is for clarity to show impact of IFM as negative (after its impact on fire intensity) rather than positive (after its level deployment).