Dataset Open Access

GHG data from inverse models and UNFCCC national inventories v0.1

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

GHG (CO2, CH4, N2O) 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:

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

  • 'land flux (all land)' -> land flux from all land 
  • 'land flux (managed land)' -> land flux from managed land
  • 'land flux (managed land + lateral adjustment)' -> land flux from managed land by adjusting the lateral flux

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

  • 'anthropogenic (method x)' -> anthropogenic emissions from managed land. x could be 1, 2, 3.1 and 3.2, representing different methods to calculate the emissions in this sector:
  • 'fossil' -> emissions from the fossil sector
  • 'agriculture & waste' -> emissions from the agriculture and waste sector combined
  • 'biomass burning' -> emissions from biomass burning

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

- 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.

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

Files (1.1 MB)
Name Size
CH4_inversion_2000-2017.csv
md5:a32de4ebf9861641688ac6f1fae539ab
607.8 kB Download
CO2_inversion_1990-2019.csv
md5:2ebb3455c0c764abb77ceeb342774a65
115.6 kB Download
Inventory_1990-2019.csv
md5:19a09e497c3cd29f8ab46642451d4078
68.0 kB Download
Inventory_1990-2019_IPCC.csv
md5:d0abf6d24b41c50389b7c2c03ee869ef
291.6 kB Download
N2O_inversion_1997-2016.csv
md5:de2e584f6b041ac3f9841f0399d330b4
14.1 kB Download
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