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

Details

• Journal Title:
  Earth System Science Data
• Personal Author:
  Urraca, Ruben ; Janssens-Maenhout, Greet ; Álamos, Nicolás ; Berna-Peña, Lucas ; 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 ; Puliafito, Enrique ; Roest, Geoffrey ; Rossi, Simone ; Soulie, Antonin ; Visschedijk, Antoon
• NOAA Program & Office:
  OAR (Oceanic and Atmospheric Research) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; CSL (Chemical Sciences Laboratory)
• Description:
  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-GLOB-ANT 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).
• Source:
  Earth System Science Data, 16(1), 501-523
• DOI:
  https://doi.org/10.5194/essd-16-501-2024
• ISSN:
  1866-3516
• Format:
  PDF
• Publisher:
  Copernicus GmbH
• Document Type:
  Journal Article
• License:
  https://creativecommons.org/licenses/by/4.0/
• Rights Information:
  CC BY
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha-512:0e6428641e328bde1efdd5d3356921d7490f8ff9e0ccab559f1d23a0d01d9a508313c4d4b767625fc16b263007e9ec3e9a6d24d7e19d312b0420f451d5f51bd3
• Download URL:
  https://repository.library.noaa.gov/view/noaa/65933/noaa_65933_DS1.pdf
• File Type:
  [PDF - 3.17 MB ]