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| Titel |
Comparison of global inventories of CO emissions from biomass burning derived from remotely sensed data |
| VerfasserIn |
D. Stroppiana, P. A. Brivio, J.-M. Grégoire, C. Liousse, B. Guillaume, C. Granier, A. Mieville, M. Chin, G. Petron |
| 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. 24 ; Nr. 10, no. 24 (2010-12-22), S.12173-12189 |
| Datensatznummer |
250008974
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| Publikation (Nr.) |
 copernicus.org/acp-10-12173-2010.pdf |
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| Zusammenfassung |
| We compare five global inventories of monthly CO emissions named VGT, ATSR,
MODIS, GFED3 and MOPITT based on remotely sensed active fires and/or burned
area products for the year 2003. The objective is to highlight similarities
and differences by focusing on the geographical and temporal distribution
and on the emissions for three broad land cover classes (forest,
savanna/grassland and agriculture). Globally, CO emissions for the year 2003
range between 365 Tg CO (GFED3) and 1422 Tg CO (VGT). Despite the large
uncertainty in the total amounts, some common spatial patterns typical of
biomass burning can be identified in the boreal forests of Siberia, in
agricultural areas of Eastern Europe and Russia and in savanna ecosystems of
South America, Africa and Australia. Regionally, the largest difference in
terms of total amounts (CV > 100%) and seasonality is observed at the
northernmost latitudes, especially in North America and Siberia where VGT
appears to overestimate the area affected by fires. On the contrary, Africa
shows the best agreement both in terms of total annual amounts (CV = 31%)
and of seasonality despite some overestimation of emissions from forest and
agriculture observed in the MODIS inventory. In Africa VGT provides the most
reliable seasonality. Looking at the broad land cover types, the range of
contribution to the global emissions of CO is 64–74%, 23–32% and
3–4% for forest, savanna/grassland and agriculture, respectively. These
results suggest that there is still large uncertainty in global estimates of
emissions and it increases if the comparison is carried by out taking into
account the temporal (month) and spatial (0.5° × 0.5° cell) dimensions.
Besides the area affected by fires, also vegetation characteristics and
conditions at the time of burning should also be accurately parameterized
since they can greatly influence the global estimates of CO emissions. |
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