GHG data from inverse models and UNFCCC national inventories, Global, 1990-2019

Deng, Zhu; Ciais, Philippe; Tzompa-Sosa, Zitely; Saunois, Marielle; Chevallier, Frédéric; Tan, Chang; Sun, Taochun; Ke, Piyu; Cui, Yanan; Liu, Zhu

Anthropogenic greenhouse gas (carbon dioxide, methane, nitrous oxide) data from inverse models and UNFCCC national inventories

This dataset contains 5 datasets, including GHG data from inverse models and UNFCCC national inventories in the top emitter countries:

  1. CO2_inversion_1990-2019: annual CO2 flux from from 6 inversion models in three sectors:

    1. Land flux from all land
    2. Land flux from managed land
    3. Land flux from managed land by adjusting the lateral flux

  2. CH4_inversion_2000-2017: CH4 flux from from 10 in-situ inversion (2000-2017) and 11 satellite inversion (2010-2017) models from four sectors:

    1. Anthropogenic emissions from managed land.
    2. Emissions from the fossil sector
    3. Emissions from the agriculture and waste sector combined
    4. Emissions from biomass burning

  3. N2O_inversion_1997-2016: anthropogenic N2O emissions from from 3 models.

  4. Inventory_1990-2019: inventory data collecting from UNFCCC national inventories. The classification of sectors is corresponding with the inversion data files for each gas specie.

  5. Inventory_1990-2019_IPCC: inventory data collecting from UNFCCC national inventories in IPCC category.

Citation

In order to use these data, you must cite this data set with the following citation:

Deng, Zhu, Ciais, Philippe, Tzompa-Sosa, Zitely, Saunois, Marielle, Chevallier, Frédéric, Tan, Chang, Sun, Taochun, Ke, Piyu, Cui, Yanan, & Liu, Zhu. (2021). GHG data from inverse models and UNFCCC national inventories v0.1 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5089799

Kontakt

Ciais, Phillipe

Metadaten-Zugang

DCAT in RDF/XML-Format

DCAT in Turtle-Format

DCAT in JSON-LD-Format

APGC Dataset Metadata in JSON-Format

Daten und Ressourcen

Zusätzliche Informationen

Feld Wert
Identifikator DOI: 10.5281/zenodo.5089799
Projekt(e)
Institut Tsinghua University
Quelle https://zenodo.org/record/5089799
Publikationsdatum 2022-07-10
Version 1.0
Produkt Greenhouse gas flux data from inverse models and national inventories
Sensor(en) Atmospheric inversion
Dateien
  1. CO2_inversion_1990-2019.csv
  2. CH4_inversion_2000-2017.csv
  3. N2O_inversion_1997-2016.csv
  4. Inventory_1990-2019.csv
  5. Inventory_1990-2019_IPCC.csv
Variablen [Einheiten]
  1. Party: Country
  2. Year: Year of estimated emissions
  3. Sector: Emission sector ['anthropogenic', 'fossil', 'agriculture & waste', 'biomass burning', 'land flux (all land)', 'land flux (managed land)', 'land flux (managed land + lateral adjustment)']. 'anthropogenic" method could be 1, 2, 3.1 and 3.2, representing different methods to calculate the emissions in this sector
  4. CTE_GOSAT: Annual methane emissions from satellite inversion [Tg CH4 yr-1]
  5. CTE_SURF: Annual methane emissions from in-situ inversion [Tg CH4 yr-1]
  6. GELCA_SURF: Annual methane emissions from in-situ inversion [Tg CH4 yr-1]
  7. LMDzPYVAR_GOSAT1: Annual methane emissions from satellite inversion [Tg CH4 yr-1]
  8. LMDzPYVAR_GOSAT2: Annual methane emissions from satellite inversion [Tg CH4 yr-1]
  9. LMDzPYVAR_GOSAT3: Annual methane emissions from satellite inversion [Tg CH4 yr-1]
  10. LMDzPYVAR_GOSAT5: Annual methane emissions from satellite inversion [Tg CH4 yr-1]
  11. LMDzPYVAR_GOSAT6: Annual methane emissions from satellite inversion [Tg CH4 yr-1]
  12. LMDzPYVAR_SURF1: Annual methane emissions from in-situ inversion [Tg CH4 yr-1]
  13. LMDzPYVAR_SURF2: Annual methane emissions from in-situ inversion [Tg CH4 yr-1]
  14. MIROCv4_SURF: Annual methane emissions from in-situ inversion [Tg CH4 yr-1]
  15. NICAM_SURF: Annual methane emissions from in-situ inversion [Tg CH4 yr-1]
  16. NTF-4DVAR_NIES_GOSAT: Annual methane emissions from satellite inversion [Tg CH4 yr-1]
  17. NTF-4DVAR_NIES_SURF: Annual methane emissions from in-situ inversion [Tg CH4 yr-1]
  18. TM5-4DVAR_GOSAT1: Annual methane emissions from satellite inversion [Tg CH4 yr-1]
  19. TM5-4DVAR_GOSAT2: Annual methane emissions from satellite inversion [Tg CH4 yr-1]
  20. TM5-4DVAR_SURF1: Annual methane emissions from in-situ inversion [Tg CH4 yr-1]
  21. TM5-4DVAR_SURF2: Annual methane emissions from in-situ inversion [Tg CH4 yr-1]
  22. TM5-CAMS_GOSAT: Annual methane emissions from satellite inversion [Tg CH4 yr-1]
  23. TM5-CAMS_SURF: Annual methane emissions from in-situ inversion [Tg CH4 yr-1]
  24. SURF_med: Median annual methane emissions from in-situ inversions [Tg CH4 yr-1]
  25. SURF_min: Minimum annual methane emissions from in-situ inversions [Tg CH4 yr-1]
  26. SURF_max: Maximum annual methane emissions from in-situ inversions [Tg CH4 yr-1]
  27. GOSAT_med: Median annual methane emissions from satellite inversions [Tg CH4 yr-1]
  28. GOSAT_min: Minimum annual methane emissions from satellite inversions [Tg CH4 yr-1]
  29. GOSAT_max: Maximum annual methane emissions from satellite inversions [Tg CH4 yr-1]
  30. CAMS: Annual carbon dioxide emissions from CAMS inversion [Tg CO2 yr-1]
  31. CARBOSCOPE: Annual carbon dioxide emissions from CARBOSCOPE inversion [Tg CO2 yr-1]
  32. CTE: Annual carbon dioxide emissions from CTE inversion [Tg CO2 yr-1]
  33. MIROC: Annual carbon dioxide emissions from MIROC inversion [Tg CO2 yr-1]
  34. NISMON: Annual carbon dioxide emissions from NISMON inversion [Tg CO2 yr-1]
  35. UOE: Annual carbon dioxide emissions from UOE inversion [Tg CO2 yr-1]
  36. CAMS (N2O): Annual nitrous oxide emissions from CAMS inversion [Tg N2O yr-1]
  37. GEOSCHEM: Annual nitrous oxide emissions from GEOSCHEM inversion [Tg N2O yr-1]
  38. TOMCAT: Annual nitrous oxide emissions from TOMCAT inversion [Tg N2O yr-1]
Region Global
Räumlicher Bezug
Räumliche Auflösung Country
Räumliche Abdeckung Latitude -90 to 90, Longitude -180 to 180
Zeitliche Abdeckung 1990-2019
Zeitliche Auflösung Annual
Format CSV
Is Supplement To

Deng, Z., Ciais, P., Tzompa-Sosa, Z. A., Saunois, M., Qiu, C., Tan, C., Sun, T., Ke, P., Cui, Y., Tanaka, K., Lin, X., Thompson, R. L., Tian, H., Yao, Y., Huang, Y., Lauerwald, R., Jain, A. K., Xu, X., Bastos, A., Sitch, S., Palmer, P. I., Lauvaux, T., d'Aspremont, A., Giron, C., Benoit, A., Poulter, B., Chang, J., Petrescu, A. M. R., Davis, S. J., Liu, Z., Grassi, G., Albergel, C., Tubiello, F. N., Perugini, L., Peters, W., and Chevallier, F.: Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions, Earth Syst. Sci. Data, 14, 1639–1675, https://doi.org/10.5194/essd-14-1639-2022, 2022.
Zusammenhang mit

Ausdehnung des Datensatzes