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| Titel |
APIFLAME v1.0: high-resolution fire emission model and application to the Euro-Mediterranean region |
| VerfasserIn |
S. Turquety, L. Menut, B. Bessagnet, A. Anav, N. Viovy, F. Maignan, M. Wooster |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 7, no. 2 ; Nr. 7, no. 2 (2014-04-11), S.587-612 |
| Datensatznummer |
250115583
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| Publikation (Nr.) |
 copernicus.org/gmd-7-587-2014.pdf |
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| Zusammenfassung |
This paper describes a new model
for the calculation of daily, high-resolution (up to 1 km) fire
emissions, developed in the framework of the APIFLAME (Analysis and
Prediction of the Impact of Fires on Air quality ModEling) project. The
methodology relies on the classical approach, multiplying the burned area by
the fuel load consumed and the emission factors specific to the vegetation
burned. Emissions can be calculated on any user-specified domain, horizontal
grid, and list of trace gases and aerosols, providing input information on
the burned area (location, extent), and emission factors of the targeted
species are available. The applicability to high spatial resolutions and the
flexibility to different input data (including vegetation classifications)
and domains are the main strength of the proposed algorithm. The modification
of the default values and databases proposed does not require any change in
the core of the model.
The code may be used for the calculation of global or regional inventories.
However, it has been developed and tested more specifically for Europe and
the Mediterranean area. A regional analysis of fire activity and the
resulting emissions in this region is provided. The burning season extends
from June to October in most regions, with generally small but frequent fires
in eastern Europe, western Russia, Ukraine and Turkey, and large events in the
Mediterranean area. The resulting emissions represent a significant fraction
of the total yearly emissions (on average amounting to ~ 30% of
anthropogenic emissions for PM2.5, ~ 20% for CO). The
uncertainty regarding the daily carbon emissions is estimated at ~
100% based on an ensemble analysis. Considering the large uncertainties
regarding emission factors, the potential error on the emissions for the
various pollutants is even larger. Comparisons with other widely used
emission inventories show good correlations but discrepancies of a factor of
2–4 in the amplitude of the emissions, our results being generally on the
higher end. |
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