Data for "Studying the Pre-Industrial to Present-Day Effective Radiative Forcing from Wildfire Emissions Using EC-Earth"

The current study focuses on the effective radiative forcing (ERF) of present-day wildfire emissions relative to pre-industrial times. Atmosphere-only simulations were performed using EC-Earth3 (EC-Earth3-AerChem configuration - FORCes branch [1-2]), and three wildfire-emission datasets were introduced: BB4CMIP6 [3] and two reconstructed alternatives [4], one derived from the BB4CMIP6 dataset and one derived from the fire model LPJ-LMfire. This repository contains the model output and the Python script used to produce the maps presented in the study conducted by Mourgela et al. (2025) [5].  References [1] Döscher et al. (2022) The EC-Earth3 Earth system model for the Coupled Model Intercomparison Project 6. Geosci Model Dev 15:2973–3020. https://doi.org/10.5194/gmd-15-2973-2022 [2] van Noije et al. (2021) EC-Earth3-AerChem: a global climate model with interactive aerosols and atmospheric chemistry participating in CMIP6. Geosci Model Dev 14:5637–5668. https://doi.org/10.5194/gmd-14-5637-2021 [3] van Marle et al. (2017) Historic Global Biomass Burning Emissions for CMIP6 (BB4CMIP) Based on Merging Satellite Observations with Proxies and Fire Models (1750–2015). Geosci Model Dev 10: 3329–3357. https://doi.org/10.5194/gmd-10-3329-2017 [4] Zhang et al. (2024) Improved Biomass Burning Emissions from 1750 to 2010 Using Ice Core Records and Inverse Modeling. Nat Commun 15:3651. https://doi.org/10.1038/s41467-024-47864-7 [5] Mourgela et al. (2025). Studying the Pre-Industrial to Present-Day Effective Radiative Forcing from Wildfire Emissions Using EC-Earth. Environmental and Earth Sciences Proceedings, 35(1), 23. https://doi.org/10.3390/eesp2025035023