CoCO2-MOSAIC 1.0: A global mosaic of regional, gridded, fossil, and biofuel CO2 emission inventories

• Autores: Urraca, Ruben; Janssens Maenhout, Greet; Álamos, Nicolás; Berná Peña, Lucas Luciano; Crippa, Monica; Darras, Sabine; Dellaert, Stijn; Denier van der Gon, Hugo; Dowell, Mark; Gobron, Nadine; Granier, Claire; Grassi, Giacomo; Guevara, Marc; Guizzardi, Diego; Gurney, Kevin; Huneeus, Nicolás; Keita, Sekou; Kuenen, Jeroen; Lopez Noreña, Ana Isabel; Puliafito, Salvador Enrique; Roest, Geoffrey; Rossi, Simone; Soulie, Antonin; Visschedijk, Antoon
• Año de publicación: 2024
• Idioma: inglés
• Tipo de recurso: artículo
• Materia: GLOBAL EMISSIONS INVENTORY; CO2; FOSSIL; BIOGENIC
• Institución: Consejo Nacional de Investigaciones Científicas y Técnicas

Gridded bottom-up inventories of CO2 emissions are needed in global CO2 inversion schemes as priors to initialize transport models and as a complement to top-down estimates to identify the anthropogenic sources. Global inversions require gridded datasets almost in near-real time that are spatially and methodologically consistent at a global scale. This may result in a loss of more detailed information that can be assessed by using regional inventories because they are built with a greater level of detail including country-specific information and finer resolution data. With this aim, a global mosaic of regional, gridded CO2 emission inventories, hereafter referred to as CoCO2-MOSAIC 1.0, has been built in the framework of the CoCO2 project. CoCO2-MOSAIC 1.0 provides gridded (0.1◦ × 0.1◦ ) monthly emissions fluxes of CO2 fossil fuel (CO2ff, long cycle) and CO2 biofuel (CO2bf, short cycle) for the years 2015–2018 disaggregated in seven sectors. The regional inventories integrated are CAMS-REG-GHG 5.1 (Europe), DACCIWA 2.0 (Africa), GEAA-AEI 3.0 (Argentina), INEMA 1.0 (Chile), REAS 3.2.1 (East, Southeast, and South Asia), and VULCAN 3.0 (USA). EDGAR 6.0, CAMS-GLOB-SHIP 3.1 and CAMS-GLOB-TEMPO 3.1 are used for gap-filling. CoCO2-MOSAIC 1.0 can be recommended as a global baseline emission inventory for 2015 which is regionally accepted as a reference, and as such we use the mosaic to inter-compare the most widely used global emission inventories: CAMS-GLOBANT 5.3, EDGAR 6.0, ODIAC v2020b, and CEDS v2020_04_24. CoCO2-MOSAIC 1.0 has the highest CO2ff (36.7 Gt) and CO2bf (5.9 Gt) emissions globally, particularly in the USA and Africa. Regional emissions generally have a higher seasonality representing better the local monthly profiles and are generally distributed over a higher number of pixels, due to the more detailed information available. All super-emitting pixels from regional inventories contain a power station (CoCO2 database), whereas several super-emitters from global inventories are likely incorrectly geolocated, which is likely because regional inventories provide large energy emitters as point sources including regional information on power plant locations. CoCO2-MOSAIC 1.0 is freely available at zenodo (https://doi.org/10.5281/zenodo.7092358; Urraca et al., 2023) and at the JRC Data Catalogue (https://data.jrc.ec.europa.eu/dataset/6c8f9148-ce09-4dca-a4d5-422fb3682389, last access: 15 May 2023; Urraca Valle et al., 2023).
Fil: Urraca, Ruben. European Commission, Joint Research Centre,; Italia
Fil: Janssens Maenhout, Greet. European Commission, Joint Research Centre; Italia. University of Ghent; Bélgica
Fil: Álamos, Nicolás. Universidad de Chile; Chile
Fil: Berná Peña, Lucas Luciano. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
Fil: Crippa, Monica. Uni Systems Italy; Italia
Fil: Darras, Sabine. Observatoire Midi-pyrénées; Francia
Fil: Dellaert, Stijn. TNO. Department Of Climate, Air And Sustainability; Países Bajos
Fil: Denier van der Gon, Hugo. TNO. Department Of Climate, Air And Sustainability; Países Bajos
Fil: Dowell, Mark. European Commission, Joint Research Centre; Italia
Fil: Gobron, Nadine. European Commission, Joint Research Centre; Italia
Fil: Granier, Claire. Université de Toulouse; Francia. Centre National de la Recherche Scientifique; Francia
Fil: Grassi, Giacomo. European Commission, Joint Research Centre; Italia
Fil: Guevara, Marc. Barcelona Supercomputing Center - Centro Nacional de Supercomputacion; España
Fil: Guizzardi, Diego. European Commission, Joint Research Centre,; Italia
Fil: Gurney, Kevin. Northern Arizona University; Estados Unidos
Fil: Huneeus, Nicolás. Universidad de Chile; Chile
Fil: Keita, Sekou. Université de Toulouse; Francia. Centre National de la Recherche Scientifique; Francia
Fil: Kuenen, Jeroen. TNO. Department Of Climate, Air And Sustainability; Países Bajos
Fil: Lopez Noreña, Ana Isabel. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
Fil: Puliafito, Salvador Enrique. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
Fil: Roest, Geoffrey. Northern Arizona University; Estados Unidos
Fil: Rossi, Simone. Arcadia Sit; Italia
Fil: Soulie, Antonin. Université de Toulouse; Francia. Centre National de la Recherche Scientifique; Francia
Fil: Visschedijk, Antoon. TNO. Department Of Climate, Air And Sustainability; Países Bajos