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| Titel |
The Coupled Aerosol and Tracer Transport model to the Brazilian developments on the Regional Atmospheric Modeling System (CATT-BRAMS) – Part 2: Model sensitivity to the biomass burning inventories |
| VerfasserIn |
K. M. Longo, S. R. Freitas, M. O. Andreae, A. Setzer, E. Prins, P. Artaxo |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7316
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 10, no. 13 ; Nr. 10, no. 13 (2010-07-01), S.5785-5795 |
| Datensatznummer |
250008583
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| Publikation (Nr.) |
 copernicus.org/acp-10-5785-2010.pdf |
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| Zusammenfassung |
| We describe an estimation technique for biomass burning emissions in South
America based on a combination of remote-sensing fire products and field
observations, the Brazilian Biomass Burning Emission Model (3BEM). For each
fire pixel detected by remote sensing, the mass of the emitted tracer is
calculated based on field observations of fire properties related to the
type of vegetation burning. The burnt area is estimated from the
instantaneous fire size retrieved by remote sensing, when available, or from
statistical properties of the burn scars. The sources are then spatially and
temporally distributed and assimilated daily by the Coupled Aerosol and
Tracer Transport model to the Brazilian developments on the Regional
Atmospheric Modeling System (CATT-BRAMS) in order to perform the prognosis
of related tracer concentrations. Three other biomass burning inventories,
including GFEDv2 and EDGAR, are simultaneously used to compare the emission
strength in terms of the resultant tracer distribution. We also assess the
effect of using the daily time resolution of fire emissions by including
runs with monthly-averaged emissions. We evaluate the performance of the
model using the different emission estimation techniques by comparing the
model results with direct measurements of carbon monoxide both near-surface
and airborne, as well as remote sensing derived products. The model results
obtained using the 3BEM methodology of estimation introduced in this paper
show relatively good agreement with the direct measurements and MOPITT data
product, suggesting the reliability of the model at local to regional
scales. |
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