posted on 2025-03-12, 16:16authored byJ Mortelmans, S Apers, GJM De Lannoy, S Veraverbeke, RD Field, N Andela, Susan PageSusan Page, M Bechtold
Background Tropical peatland fires contribute to global carbon emissions and air pollution. Aims Enhance the globally used Canadian Fire Weather Index (FWI) system specifically over drained and undrained tropical peatlands in southeast Asia. Methodology We included simulated tropical peatland hydrology in the FWI, creating a new peatland-specific version of the FWI (FWIpeat). FWIpeat, the original FWI (FWIref) and the drought code (DC) were evaluated against satellite-based active fire occurrence from 2002 to 2018. Key results The DC shows superior performance in explaining fire occurrence over undrained tropical peatlands. Over drained peatlands, DC and FWIpeat show similar results, both outperforming FWIref. A comparison with an earlier study over boreal peatlands indicates much smaller improvements from FWIpeat for tropical peatlands, possibly due to a lower accuracy of the hydrological input data. Conclusions Our results highlight the importance of including information on deeper soil layers, i.e. the DC or groundwater table, when assessing fire danger. Implications Although this study offers a promising approach for operational fire management over tropical peatlands, we emphasise the need for further research to refine the hydrological input data and explore additional constraints from Earth observation data.
Funding
the Research Foundation – Flanders (F.W.O.) for funding this research (FWO.G095720N
History
Author affiliation
College of Science & Engineering
Geography, Geology & Environment
Land use data used in this study area are available from Miettinen et al. (2016). The MERRA-2 data (Gelaro et al. 2017) were obtained from
https://goldsmr4.gesdisc.eosdis.nasa.gov/data/MERRA2/. In order to access the data, an account at https://urs.earthdata.nasa.gov/home (last access: 22
December 2022) is needed. The GFWED code used for the FWI calculations can be downloaded from https://portal.nccs.nasa.gov/datashare/GlobalFWI/v2.0/
20201013.GFWEDCode.tar.gz (Field et al. 2015). The GFA data used for the evaluation were downloaded from 10.3334/ORNLDAAC/1642 (Andela et al. 2019). The
CDF matching is done using the Python package pytesmo available at 10.5281/zenodo.8338451 (Paulik et al. 2023).