Global Methane Flux Estimates from Satellite Inversion (2019-2024)

Global gridded surface methane (CH4) fluxes from 2019 to 2024 are estimated using the GONGGA-CH4 inversion system. The dataset assimilates blended TROPOMI and GOSAT satellite data and uses prescribed hydroxyl radical fields from the CAMS EAC4 reanalysis. Yilong Wang created this dataset, last updated in April 2026.

Use Cases

• Analyze spatiotemporal patterns of global methane flux from gridded surface estimates.
• Validate bottom-up emission inventories against top-down inversion results from TROPOMI and GOSAT data.
• Study regional methane source contributions using the prescribed CAMS EAC4 hydroxyl radical fields.
• Model atmospheric methane transport and chemistry by integrating the estimated surface fluxes.

Strengths

• Covers a 6-year time range from 2019 to 2024.
• Integrates data from two satellite instruments, TROPOMI and GOSAT.
• Uses observation-constrained OH fields from the CAMS EAC4 reanalysis.

Limitations

• Dataset size is 26.3 MB, indicating a relatively coarse or aggregated spatial resolution.
• Specific row/column counts and spatial resolution details are unknown.
• Relies on prescribed OH fields, introducing dependency on the accuracy of the CAMS reanalysis.

Provenance

Source

GONGGA-CH4 inversion system by Yilong Wang.

Collection Method

Inversion estimates generated through assimilation of blended TROPOMI and GOSAT satellite data.

Time Range

2019 to 2024.

Freshness

Last updated in April 2026, covering data through 2024.

Geography

Global gridded coverage.