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| Titel |
Estimation of CO2 emissions from fossil fuel burning by using satellite measurements of co-emitted gases: a new method and its application to the European region |
| VerfasserIn |
Evgeny V. Berezin, Igor B. Konovalov, Philippe Ciais, Gregoire Broquet |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250091188
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| Publikation (Nr.) |
 EGU/EGU2014-5464.pdf |
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| Zusammenfassung |
| Accurate estimates of emissions of carbon dioxide (CO2), which is a major greenhouse gas,
are requisite for understanding of the thermal balance of the atmosphere and for
predicting climate change. International and regional CO2 emission inventories are
usually compiled by following the “bottom-up” approach on the basis of available
statistical information about fossil fuel consumption. Such information may be rather
uncertain, leading to uncertainties in the emission estimates. One of the possible ways
to understand and reduce this uncertainty is to use satellite measurements in the
framework of the inverse modeling approach; however, information on CO2 emissions,
which is currently provided by direct satellite measurements of CO2, remains very
limited.
The main goal of this study is to develop a CO2 emission estimation method based on
using satellite measurements of co-emitted species, such as NOx (represented by NO2 in the
satellite measurements) and CO. Due to a short lifetime of NOx and relatively low
background concentration of CO, the observed column amounts of NO2 and CO are typically
higher over regions with strong emission sources than over remote regions. Therefore,
satellite measurements of these species can provide useful information on the spatial
distribution and temporal evolution of major emission sources. The method’s basic idea
(which is similar to the ideas already exploited in the earlier studies [1, 2]) is to combine
this information with available estimates of emission factors for all of the species
considered. The method assumes optimization of the total CO2 emissions from
the two major aggregated sectors of economy. CO2 emission estimates derived
from independent satellite measurements of the different species are combined
in a probabilistic way by taking into account their uncertainties. The CHIMERE
chemistry transport model is used to simulate the relationship between NOx (CO)
emissions and NO2 (CO) columns from the OMI (IASI) measurements, respectively.
Uncertainties in the CO2 emission estimates are evaluated by means of the Monte-Carlo
experiment.
In this study, our method is applied to the case of fossil fuel CO2 emissions from the
European region. Taking into account that the uncertainty in available bottom-up estimates of
the total CO2 emissions from that region is believed to be rather small, the case considered
enables validation of our method, understanding its advantages and limitations, as well as
examination of feasibility of its application to the world’s regions with potentially much
larger uncertainties in CO2 emissions.
References:
1. Berezin,E.V., Konovalov,I.B., Ciais,P., Richter,A., Tao,S., Janssens-Maenhout,G.,
Beekmann,M., and Schulze,E.-D.: Multiannual changes of CO2 emissions in
China: indirect estimates derived from satellite measurements of tropospheric NO2
columns, Atmos. Chem. Phys., 13, 9415-9438, doi:10.5194/acp-13-9415-2013,
2013.
2. Konovalov, I. B., Berezin, E. V., Ciais, P., Broquet, G., Beekmann, M., Hadji-Lazaro, J.,
Clerbaux, C., Andreae,M. O., Kaiser, J. W., and Schulze, E.-D.: Constraining CO2
emissions from open biomass burning by satellite observations of co-emitted species: a
method and its application to wildfires in Siberia, submitted to Atmos. Chem. Phys. |
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