Assimilation of atmospheric CO 2 observations from space can support national CO 2 emission inventories
Bibliographic Data
| ID | 15547719 |
|---|---|
| Authors | Thomas Kaminski, Marko Scholze (0000-0002-3474-5938, Lund University), P J Rayner (0000-0001-7707-6298, The University of Melbourne), Peter Rayner, Michael Voßbeck (0000-0002-1616-3934), Michael Buchwitz (0000-0002-3862-1342, University of Bremen), Maximilian Reuter (0000-0001-9141-3895, University of Bremen), Wolfgang Knorr (0000-0003-1342-1958, Lund University), Hans W Chen (0000-0002-8601-6024, Lund University), Anna Agustí‐Panareda (0000-0002-7495-7273, European Centre for Medium-Range Weather Forecasts), Anna Agustí-Panareda, Armin Löscher (European Space Research and Technology Centre), Yasjka Meijer (0000-0001-8195-9931, European Space Research and Technology Centre) |
| Year | 2021 |
| Volume | 17 |
| Issue | 1 |
| Pages | 014015-014015 |
| Publication date | 2021-11-24 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/ac3cea |
| OpenAlex | W3216074021 |
| Language | EN |
| References cited | 30 |
The Paris Agreement establishes a transparency framework for anthropogenic carbon dioxide (CO 2 ) emissions. It’s core component are inventory-based national greenhouse gas emission reports, which are complemented by independent estimates derived from atmospheric CO 2 measurements combined with inverse modelling. It is, however, not known whether such a Monitoring and Verification Support (MVS) capacity is capable of constraining estimates of fossil-fuel emissions to an extent that is sufficient to provide valuable additional information. The CO 2 Monitoring Mission (CO2M), planned as a constellation of satellites measuring column-integrated atmospheric CO 2 concentration (XCO 2 ), is expected to become a key component of such an MVS capacity. Here we provide a novel assessment of the potential of a comprehensive data assimilation system using simulated XCO 2 and other observations to constrain fossil fuel CO 2 emission estimates for an exemplary 1-week period in 2008. We find that CO2M enables useful weekly estimates of country-scale fossil fuel emissions independent of national inventories. When extrapolated from the weekly to the annual scale, uncertainties in emissions are comparable to uncertainties in inventories, so that estimates from inventories and from the MVS capacity can be used for mutual verification. We further demonstrate an alternative, synergistic mode of operation, with the purpose of delivering a best fossil fuel emission estimate. In this mode, the assimilation system uses not only XCO 2 and the other data streams of the previous (verification) mode, but also the inventory information. Finally, we identify further steps towards an operational MVS capacity
Air quality index · Climate change · Data assimilation · Emission inventory · Fossil fuel · Geography · Greenhouse gas · Meteorology · Atmospheric and Environmental Gas Dynamics · Atmospheric Ozone and Climate · Environmental Science · Meteorological Phenomena and Simulations · Geology
| Citation velocity | historical |
|---|---|
| Highly cited | No |