The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Quantifying CO2 Emissions From Individual Power Plants From Space
Open accessAbstract
In order to better manage anthropogenic CO 2 emissions, improved methods of quantifying emissions are needed at all spatial scales from the national level down to the facility level. Although the Orbiting Carbon Observatory 2 (OCO‐2) satellite was not designed for monitoring power plant emissions, we show that in some cases, CO 2 observations from OCO‐2 can be used to quantify daily CO 2 emissions from individual middle‐ to large‐sized coal power plants by fitting the data to plume model simulations. Emission estimates for U.S. power plants are within 1–17% of reported daily emission values, enabling application of the approach to international sites that lack detailed emission information. This affirms that a constellation of future CO 2 imaging satellites, optimized for point sources, could monitor emissions from individual power plants to support the implementation of climate policies.
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Precision requirements for space‐based data
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Cited by
Gridded emissions of air pollutants for the period 1970–2012 within EDGAR v4.3.2
Crippa, M., Guizzardi, D., Muntean, M., Schaaf, E., Dentener, F., van Aardenne, J. A., Monni, S., Doering, U., Olivier, J. G. J., Pagliari, V., et al. (2018) · Earth System Science Data · doi:10.5194/essd-10-1987-2018 · Cited by 889
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Metadata
- Authors
- Nassar, R., Hill, T. G., McLinden, C. A., Wunch, D., Jones, D. B. A., & Crisp, D.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2017-10-13
- Volume
- 44
- Issue
- 19
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2756223094
- Cited by
- 336
- References
- 22
- FWCI
- 14.20
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Nassar, R., Hill, T. G., McLinden, C. A., Wunch, D., Jones, D. B. A., & Crisp, D. (2017). Quantifying CO2 Emissions From Individual Power Plants From Space. Geophysical Research Letters. https://doi.org/10.1002/2017gl074702
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