# National quantifications of methane emissions from fuel exploitation using high resolution inversions of satellite observations

## TL;DR

Satellite data reveals that methane emissions from fossil fuel exploitation are significantly higher than reported, especially in major emitting countries.

## Contribution

This study provides high-resolution global methane emission estimates using satellite data, revealing under-reporting by major emitters.

## Key findings

- Global oil-gas methane emissions are 62.7 ± 11.5 Tg a−1, 30% higher than UNFCCC reports.
- Coal emissions are estimated at 32.7 ± 5.2 Tg a−1, consistent with prior estimates.
- Eight countries exceed a 5% methane emission intensity from oil-gas, with Venezuela, Iraq, and Angola reaching 20%.

## Abstract

Reducing methane emissions from fossil fuel exploitation (oil, gas, coal) is an important target for climate policy, but current national emission inventories submitted to the United Nations Framework Convention on Climate Change (UNFCCC) are highly uncertain. Here we use 22 months (May 2018-Feb 2020) of satellite observations from the TROPOMI instrument to better quantify national emissions worldwide by inverse analysis at up to 50 km resolution. We find global emissions of 62.7 ± 11.5 (2σ) Tg a−1 for oil-gas and 32.7 ± 5.2 Tg a−1 for coal. Oil-gas emissions are 30% higher than the global total from UNFCCC reports, mainly due to under-reporting by the four largest emitters including the US, Russia, Venezuela, and Turkmenistan. Eight countries have methane emission intensities from the oil-gas sector exceeding 5% of their gas production (20% for Venezuela, Iraq, and Angola), and lowering these intensities to the global average level of 2.4% would reduce global oil-gas emissions by 11 Tg a−1 or 18%.

High-resolution satellite data enables a unique verification of national methane emissions worldwide. Global estimates are 63 Tg a−1 for oil-gas, 30% higher than the UNFCCC reports due to under-reporting by four largest emitters, and 33 Tg a−1 for coal, consistent with previous estimates.