Preprints
https://doi.org/10.5194/egusphere-2026-5536
https://doi.org/10.5194/egusphere-2026-5536
13 Oct 2026
 | 13 Oct 2026
Status: this preprint is open for discussion and under review for Geoscientific Model Development (GMD).

OSCAR-fire v1.0: A fire bookkeeping module for the OSCAR compact Earth system model

Danni Zhang, Bo Zheng, Biqing Zhu, Yidi Xu, Xinrui Liu, Naixian Wang, Longyi Zhang, Jiarui Liang, Guido R. van der Werf, Philippe Ciais, and Thomas Gasser

Abstract. Wildfires represent a major natural driver of the land carbon cycle. Although their instantaneous combustion emissions are increasingly well captured by Earth system models (ESMs), the associated legacy carbon dynamics and post-fire ecosystem recovery remain largely absent from reduced-complexity ESMs and hard to isolate in fully fledged ones. Here we present OSCAR-fire v1.0, a wildfire carbon dynamics module developed within the OSCAR compact ESM. The module extends OSCAR's land carbon bookkeeping framework by introducing two new prognostic pools for coarse woody debris (CWD) and pyrogenic carbon (PyC) produced by incomplete combustion, alongside the existing living biomass and soil pools. A fire event induces a three-phase carbon cycle response in the OSCAR-fire module: instantaneous combustion emissions accompanied by dead biomass transfer, legacy dead carbon release, and gradual post-fire ecosystem recovery. The module's performance is assessed using prescribed burned area from GFED4.1s and GFED5.1 datasets, and parametric uncertainty is characterised using a Monte Carlo (MC) ensemble of 2000 configurations. Simulated global instantaneous fire emissions are in good agreement with both reference products, differing from reference totals by about 6 % under GFED4.1s and 3 % under GFED5.1. Legacy CWD emissions in boreal regions under GFED4.1s are broadly consistent with references but substantially higher under GFED5.1, and simulated PyC production under GFED4.1s falls below published estimates and exceeds them under GFED5.1. Besides, simulated post-fire recovery timescales reproduce the latitudinal gradient in ecosystem productivity. OSCAR-fire v1.0 provides a process-based and computationally efficient framework for quantifying wildfire contributions to the land carbon budget within a probabilistic modelling context, with broad applicability to historical carbon cycle attribution studies and assessments of fire-climate feedbacks under future climate scenarios.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Geoscientific Model Development.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
Share
Danni Zhang, Bo Zheng, Biqing Zhu, Yidi Xu, Xinrui Liu, Naixian Wang, Longyi Zhang, Jiarui Liang, Guido R. van der Werf, Philippe Ciais, and Thomas Gasser

Status: open (until 08 Dec 2026)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Danni Zhang, Bo Zheng, Biqing Zhu, Yidi Xu, Xinrui Liu, Naixian Wang, Longyi Zhang, Jiarui Liang, Guido R. van der Werf, Philippe Ciais, and Thomas Gasser
Danni Zhang, Bo Zheng, Biqing Zhu, Yidi Xu, Xinrui Liu, Naixian Wang, Longyi Zhang, Jiarui Liang, Guido R. van der Werf, Philippe Ciais, and Thomas Gasser
Metrics will be available soon.
Latest update: 13 Oct 2026
Download
Short summary
Here we present OSCAR-fire v1.0, a wildfire carbon dynamics module developed within the OSCAR compact Earth system model. The module extends OSCAR's land carbon bookkeeping framework and describes how a fire event induces instantaneous combustion carbon emissions, legacy dead carbon release, and gradual post-fire ecosystem recovery. This is a process-based and computationally efficient module that can be used for quantifying wildfire contributions to the land carbon budget.
Share