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| Titel |
A high-resolution global inventory of fossil fuel CO2 emission derived using a global power plant database and satellite-observed nightlight data |
| VerfasserIn |
Tomohiro Oda, Shamil Maksyutov |
| Konferenz |
EGU General Assembly 2010
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 12 (2010) |
| Datensatznummer |
250037307
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| Zusammenfassung |
| We developed the Open-source Data Inventory of Anthropogenic CO2 emissions (ODIAC), a
global high-resolution fossil fuel CO2 emission inventory for the years 1980-2007,
by applying a combination of country-level fuel consumption statistics, a global
point source database, and satellite-observed nightlight data. The primary goal of
 ODIAC is to provide a-priori information of fossil fuel CO2 emission to the flux
inversions using observational data of the Japanese Greenhouse Gas Observing Satellite
(GOSAT).
Fossil fuel CO2 emissions are a critical quantity required by the established flux inversion
framework, as it is assumed to be a known quantity. Recent studies have suggested the
feasibility of regional flux inversions using satellite-observed CO2 beyond the established
global inversion, and thus spatiotemporally detailed information of fossil fuel CO2 emissions
will be needed for emerging regional flux inversions. National emissions are often available
in the gridded form, and the disaggregation of national emissions have been done
using a common surrogate such as population and nightlight data; however, these
approaches correlate poorly with sources at a resolution beyond country and city
level.
In this study, national total emissions were derived from country-level fuel consumption
statistics and emissions from point sources were separately calculated. We utilized point
source emission and geographic location data available in the global power plant database
CARMA (Carbon Monitoring and Action). The individual point source emissions
were placed at the exact locations specified by CARMA. Emissions from other
sources, the residual of national total emissions minus point source emissions, were
distributed using nightlight data obtained by the US Air Force Defense Meteorological
Satellite Project-Operational Line Scan (DMSP-OSL) instruments. As DMSP-OSL
instruments often meet instrumental saturation over bright regions such as city cores, the
single use of normal nightlight product might not be suitable for spatially allocating
emissions at finer scales. We used the calibrated radiance data instead, which were
obtained by special measurements operated in the reduced gain mode. Due to the low
sensitivity of the instruments, the calibrated radiance data provide spatial variation in
light intensity even in cities cores with less saturate pixels compared to the normal
product.
Due to the spatial pattern inherited from nightlight data, the resulting spatial distribution of
emissions is fairly different from that of conventional population-based emission maps. As
nightlight data indicate exact locations of possible source regions, which mostly correspond
to human settlements, source regions were well depicted up to city level. In addition to high
spatial resolution, prominent point source emissions, which often do not appear
on conventional maps, are presented in our inventory. Nighttime data may also
work as a surrogate for applications other than human settlements, namely land
transportation.
We compared the ODIAC inventory and other four existing inventories with the Vulcan US
detailed comprehensive CO2 emission inventory for the year 2002. The ODIAC inventory
showed the best agreement in spatial pattern with the Vulcan among the participant
inventories at reduced spatial resolutions, which are adequately useful for suggested
emerging regional inversions. |
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