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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/acp-2017-790
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
26 Sep 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Chemistry and Physics (ACP).
Combining fire radiative power observations with the fire weather index improves the estimation of fire emissions
Francesca Di Giuseppe1, Samuel Rémy2, Florian Pappenberger1, and Fredrik Wetterhall1 1European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
2Institut Pierre-Simon Laplace (IPSL), CNRS/UPMC, Paris, France
Abstract. The atmospheric composition analysis and forecast for the European Copernicus Atmosphere Monitoring Services (CAMS) relies on biomass burning fire emission estimates from the Global Fire Assimilation System (GFAS). GFAS converts fire radiative power (FRP) observations from MODIS satellites into smoke constituents. Missing observations are filled in using persistence where observed FRP from the previous day are progressed in time until a new observation is recorded. One of the consequences of this assumption is an overestimation of fire duration, which in turn translates into an overestimation of emissions from fires. In this study persistence is replaced by modelled predictions using the Canadian Fire Weather Index (FWI), which describes how atmospheric conditions affect the vegetation moisture content and ultimately fire duration. The skill in predicting emissions from biomass burning is improved with the new technique, which indicates that using an FWI-based model to infer emissions from FRP is better than persistence when observations are not available.

Citation: Di Giuseppe, F., Rémy, S., Pappenberger, F., and Wetterhall, F.: Combining fire radiative power observations with the fire weather index improves the estimation of fire emissions, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2017-790, in review, 2017.
Francesca Di Giuseppe et al.
Francesca Di Giuseppe et al.
Francesca Di Giuseppe et al.

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Short summary
Fire emissions injected into the atmosphere are a crucial input for air quality models. This information is available globally using Fire Radiative Power observations converted into smoke constituents. In case of a missing observation after an ignition, a practical choice is to assume persistence. As an improvement we propose the use of the Canadian Fire Weather Index (FWI) to predict the FRP evolution. We show that the FWI is able to well capture weather related changes in fires activity.
Fire emissions injected into the atmosphere are a crucial input for air quality models. This...
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