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dc.contributor.authorBastos, A
dc.contributor.authorCiais, P
dc.contributor.authorSitch, S
dc.contributor.authorAragão, LEOC
dc.contributor.authorChevallier, F
dc.contributor.authorFawcett, D
dc.contributor.authorRosan, TM
dc.contributor.authorSaunois, M
dc.contributor.authorGünther, D
dc.contributor.authorPerugini, L
dc.contributor.authorRobert, C
dc.contributor.authorDeng, Z
dc.contributor.authorPongratz, J
dc.contributor.authorGanzenmüller, R
dc.contributor.authorFuchs, R
dc.contributor.authorWinkler, K
dc.contributor.authorZaehle, S
dc.contributor.authorAlbergel, C
dc.date.accessioned2022-11-04T12:03:34Z
dc.date.issued2022-10-01
dc.date.updated2022-11-04T10:58:30Z
dc.description.abstractThe Global Stocktake (GST), implemented by the Paris Agreement, requires rapid developments in the capabilities to quantify annual greenhouse gas (GHG) emissions and removals consistently from the global to the national scale and improvements to national GHG inventories. In particular, new capabilities are needed for accurate attribution of sources and sinks and their trends to natural and anthropogenic processes. On the one hand, this is still a major challenge as national GHG inventories follow globally harmonized methodologies based on the guidelines established by the Intergovernmental Panel on Climate Change, but these can be implemented differently for individual countries. Moreover, in many countries the capability to systematically produce detailed and annually updated GHG inventories is still lacking. On the other hand, spatially-explicit datasets quantifying sources and sinks of carbon dioxide, methane and nitrous oxide emissions from Earth Observations (EO) are still limited by many sources of uncertainty. While national GHG inventories follow diverse methodologies depending on the availability of activity data in the different countries, the proposed comparison with EO-based estimates can help improve our understanding of the comparability of the estimates published by the different countries. Indeed, EO networks and satellite platforms have seen a massive expansion in the past decade, now covering a wide range of essential climate variables and offering high potential to improve the quantification of global and regional GHG budgets and advance process understanding. Yet, there is no EO data that quantifies greenhouse gas fluxes directly, rather there are observations of variables or proxies that can be transformed into fluxes using models. Here, we report results and lessons from the ESA-CCI RECCAP2 project, whose goal was to engage with National Inventory Agencies to improve understanding about the methods used by each community to estimate sources and sinks of GHGs and to evaluate the potential for satellite and in-situ EO to improve national GHG estimates. Based on this dialogue and recent studies, we discuss the potential of EO approaches to provide estimates of GHG budgets that can be compared with those of national GHG inventories. We outline a roadmap for implementation of an EO carbon-monitoring program that can contribute to the Paris Agreement.en_GB
dc.description.sponsorshipEuropean Space Agencyen_GB
dc.description.sponsorshipEuropean Union Horizon 2020en_GB
dc.format.extent15-
dc.format.mediumElectronic
dc.identifier.citationVol. 17, article 15en_GB
dc.identifier.doihttps://doi.org/10.1186/s13021-022-00214-w
dc.identifier.grantnumberESRIN/ 4000123002/18/I-NBen_GB
dc.identifier.grantnumber776810en_GB
dc.identifier.urihttp://hdl.handle.net/10871/131636
dc.identifierORCID: 0000-0003-1821-8561 (Sitch, Stephen)
dc.identifierScopusID: 6603113016 (Sitch, Stephen)
dc.identifierResearcherID: F-8034-2015 (Sitch, Stephen)
dc.language.isoenen_GB
dc.publisherBMCen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/36183029en_GB
dc.relation.urlhttps://www.bgc-jena.mpg.de/geodb/projects/Data.phpen_GB
dc.relation.urlhttps://www.fao.org/faostat/en/#homeen_GB
dc.relation.urlhttps://luh.umd.edu/en_GB
dc.relation.urlhttps://doi.pangaea.de/10.1594/PANGAEA.921846en_GB
dc.rights© The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.en_GB
dc.subjectCarbon dioxideen_GB
dc.subjectEarth observationen_GB
dc.subjectGreenhouse gasesen_GB
dc.subjectLand-use changeen_GB
dc.subjectMethaneen_GB
dc.subjectParis agreementen_GB
dc.titleOn the use of Earth Observation to support estimates of national greenhouse gas emissions and sinks for the Global stocktake process: lessons learned from ESA-CCI RECCAP2en_GB
dc.typeArticleen_GB
dc.date.available2022-11-04T12:03:34Z
dc.identifier.issn1750-0680
exeter.article-number15
exeter.place-of-publicationEngland
dc.descriptionThis is the final version. Available on open access from BMC via the DOI in this recorden_GB
dc.descriptionAvailability of data and materials: The dataset(s) supporting the conclusions of this article available in the multiple repositories. Outputs of Net Biosphere Production and fire emissions from DGVMs used here will be made available through a public repository upon publication of this study. Wetland emission data from inversions and DGVMs from the Global Methane Budget are available through the data repository of RECCAP2 (https://www.bgc-jena.mpg.de/geodb/projects/Data.php) upon request. Country-level FLUC data from BLUE and from the BK in GCB2021 can be provided upon request by J. Pongratz. National GHG Inventory data are publicly available in the respective reports. FAO data are available at https://www.fao.org/faostat/en/#home. The LUH2 dataset is available at https://luh.umd.edu/. The HILDA + dataset (v1) is available at https://doi.pangaea.de/10.1594/PANGAEA.921846. SMOS-IC v2 L-VOD are available upon request to Jean-Pierre Wigneron (jean-pierre.wigneron@inra.fr).en_GB
dc.identifier.eissn1750-0680
dc.identifier.journalCarbon Balance and Managementen_GB
dc.relation.ispartofCarbon Balance Manag, 17(1)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-09-04
dc.rights.licenseCC BY
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-10-01
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-11-04T12:01:08Z
refterms.versionFCDVoR
refterms.dateFOA2022-11-04T12:03:43Z
refterms.panelCen_GB
refterms.dateFirstOnline2022-10-01


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© The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Except where otherwise noted, this item's licence is described as © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.