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| Titel |
A very high-resolution (1 km×1 km) global fossil fuel CO2 emission inventory derived using a point source database and satellite observations of nighttime lights |
| VerfasserIn |
T. Oda, S. Maksyutov |
| 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 ; 11, no. 2 ; Nr. 11, no. 2 (2011-01-18), S.543-556 |
| Datensatznummer |
250009183
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| Publikation (Nr.) |
 copernicus.org/acp-11-543-2011.pdf |
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| Zusammenfassung |
| Emissions of CO2 from fossil fuel combustion are a critical quantity that
must be accurately given in established flux inversion frameworks. Work with
emerging satellite-based inversions requires spatiotemporally-detailed
inventories that permit analysis of regional natural sources and sinks.
Conventional approaches for disaggregating national emissions beyond the
country and city levels based on population distribution have certain
difficulties in their application. We developed a global 1 km×1 km
annual fossil fuel CO2 emission inventory for the years 1980–2007 by
combining a worldwide point source database and satellite observations of the
global nightlight distribution. In addition to estimating the national
emissions using global energy consumption statistics, emissions from point
sources were estimated separately and were spatially allocated to exact
locations indicated by the point source database. Emissions from other
sources were distributed using a special nightlight dataset that had fewer
saturated pixels compared with regular nightlight datasets. The resulting
spatial distributions differed in several ways from those derived using
conventional population-based approaches. Because of the inherent
characteristics of the nightlight distribution, source regions corresponding
to human settlements and land transportation were well articulated. Our
distributions showed good agreement with a high-resolution inventory across
the US at spatial resolutions that were adequate for regional flux
inversions.
The inventory can be extended to the future using updated data, and is
expected to be incorporated into models for operational flux inversions that
use observational data from the Japanese Greenhouse Gases Observing SATellite
(GOSAT). |
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