Abstract
The Canadian Fire Weather Index (FWI) system, even though originally developed and calibrated for an upland Jack pine forest, is used globally to estimate fire danger for any fire environment. However, for some environments, such as peatlands, the applicability of the FWI in its current form, is often questioned. In this study, we replaced the original moisture codes of the FWI with hydrological estimates resulting from the assimilation of satellite-based L-band passive microwave observations into a peatland-specific land surface model. In a conservative approach that maintains the integrity of the original FWI structure, the distributions of the hydrological estimates were first matched to those of the corresponding original moisture codes before replacement. The resulting adapted FWI, hereafter called FWIpeat, was evaluated using satellite-based information on fire presence over boreal peatlands from 2010 through 2018. Adapting the FWI with model- and satellite-based hydrological information was found to be beneficial in estimating fire danger, especially when replacing the deeper moisture codes of the FWI. For late-season fires, further adaptations of the fine fuel moisture code show even more improvement due to the fact that late-season fires are more hydrologically driven. The proposed FWIpeat should enable improved monitoring of fire risk in boreal peatlands.
| Original language | English |
|---|---|
| Pages (from-to) | 445-464 |
| Number of pages | 20 |
| Journal | Natural Hazards and Earth System Sciences |
| Volume | 24 |
| Issue number | 2 |
| Early online date | 9 Feb 2024 |
| DOIs | |
| Publication status | Published - 2024 |
Bibliographical note
Publisher Copyright:© Copyright:
Funding
This research has been supported by the Research Foundation – Flanders (FWO) (FWO.G095720N). The computer resources and services used in this work were provided by the High-Performance Computing system of the Vlaams Supercomputer Center, funded by the Research Foundation – Flanders (FWO) and the Flemish Government. It was further supported by the Dutch Research Council (Vidi grant 016.Vidi.189.070) and European Research Council through a Consolidator Grant under the European Union's Horizon 2020 research and innovation program (grant agreement no. 101000987).
| Funders | Funder number |
|---|---|
| Vlaamse regering | |
| Fonds Wetenschappelijk Onderzoek | |
| European Research Council | |
| Horizon 2020 | |
| Horizon 2020 Framework Programme | 101000987 |
| Nederlandse Organisatie voor Wetenschappelijk Onderzoek | 016 |