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Sökning: WFRF:(Agustí Panareda Anna) > Assimilation of atm...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00005911naa a2200577 4500
001oai:lup.lub.lu.se:31aefa5a-ccd4-4c0b-a2f0-097bcad1126c
003SwePub
008220411s2022 | |||||||||||000 ||eng|
009oai:research.chalmers.se:4d9a8ec7-c75c-46e6-9c1c-3518ddd2387e
0247 a https://lup.lub.lu.se/record/31aefa5a-ccd4-4c0b-a2f0-097bcad1126c2 URI
0247 a https://doi.org/10.1088/1748-9326/ac3cea2 DOI
0247 a https://research.chalmers.se/publication/5392852 URI
040 a (SwePub)lud (SwePub)cth
041 a engb eng
042 9 SwePub
072 7a art2 swepub-publicationtype
072 7a ref2 swepub-contenttype
1001 a Kaminski, Thomasu Inversion Lab4 aut
2451 0a Assimilation of atmospheric CO2observations from space can support national CO2emission inventories
264 c 2022-01-04
264 1b IOP Publishing,c 2022
520 a The Paris Agreement establishes a transparency framework for anthropogenic carbon dioxide (CO2) emissions. It's core component are inventory-based national greenhouse gas emission reports, which are complemented by independent estimates derived from atmospheric CO2 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 CO2 Monitoring Mission (CO2M), planned as a constellation of satellites measuring column-integrated atmospheric CO2 concentration (XCO2), 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 XCO2 and other observations to constrain fossil fuel CO2 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 XCO2 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.
650 7a NATURVETENSKAPx Geovetenskap och miljövetenskapx Miljövetenskap0 (SwePub)105022 hsv//swe
650 7a NATURAL SCIENCESx Earth and Related Environmental Sciencesx Environmental Sciences0 (SwePub)105022 hsv//eng
650 7a NATURVETENSKAPx Geovetenskap och miljövetenskapx Meteorologi och atmosfärforskning0 (SwePub)105082 hsv//swe
650 7a NATURAL SCIENCESx Earth and Related Environmental Sciencesx Meteorology and Atmospheric Sciences0 (SwePub)105082 hsv//eng
650 7a NATURVETENSKAPx Geovetenskap och miljövetenskapx Klimatforskning0 (SwePub)105012 hsv//swe
650 7a NATURAL SCIENCESx Earth and Related Environmental Sciencesx Climate Research0 (SwePub)105012 hsv//eng
653 a COMonitoring Mission
653 a fossil fuel emissions
653 a inverse modelling
653 a Monitoring and Verification System
653 a Paris Agreement
7001 a Scholze, Markou Lund University,Lunds universitet,MERGE: ModElling the Regional and Global Earth system,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Institutionen för naturgeografi och ekosystemvetenskap,Centre for Environmental and Climate Science (CEC),Faculty of Science,Dept of Physical Geography and Ecosystem Science4 aut0 (Swepub:lu)nate-mks
7001 a Rayner, Peteru University of Melbourne4 aut
7001 a Voßbeck, Michaelu Inversion Lab4 aut
7001 a Buchwitz, Michaelu University of Bremen,Universität Bremen4 aut
7001 a Reuter, Maximilianu University of Bremen,Universität Bremen4 aut
7001 a Knorr, Wolfgangu Lund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science,Inversion Lab4 aut0 (Swepub:lu)wo1205kn
7001 a Chen, Hansu Lund University,Lunds universitet,MERGE: ModElling the Regional and Global Earth system,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Institutionen för naturgeografi och ekosystemvetenskap,Centre for Environmental and Climate Science (CEC),Faculty of Science,Dept of Physical Geography and Ecosystem Science4 aut0 (Swepub:cth)hansche
7001 a Agustí-Panareda, Annau European Centre for Medium-range Weather Forecasts,European Centre for Medium-Range Weather Forecasts4 aut
7001 a Löscher, Arminu European Space Research and Technology Centre (ESA/ESTEC),European Space Research and Technology Centre (ESA ESTEC)4 aut
7001 a Meijer, Yasjkau European Space Research and Technology Centre (ESA/ESTEC),European Space Research and Technology Centre (ESA ESTEC)4 aut
7102 a Inversion Labb MERGE: ModElling the Regional and Global Earth system4 org
7730 t Environmental Research Lettersd : IOP Publishingg 17:1q 17:1x 1748-9318x 1748-9326
8564 u http://dx.doi.org/10.1088/1748-9326/ac3ceax freey FULLTEXT
8564 u https://doi.org/10.1088/1748-9326/ac3cea
8564 u https://research.chalmers.se/publication/539285/file/539285_Fulltext.pdfx primaryx freey FULLTEXT
8564 8u https://lup.lub.lu.se/record/31aefa5a-ccd4-4c0b-a2f0-097bcad1126c
8564 8u https://doi.org/10.1088/1748-9326/ac3cea
8564 8u https://research.chalmers.se/publication/539285

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