Nature Study: Researchers Use Methane ‘Fingerprints’ to Better Track Global Emissions

Smoke rises from a factory in China at the Yangtze River.

A Factory in China at Yangtze River. (Photo courtesy of Wikimedia Commons)

ALBANY, N.Y. (May 12, 2026) — Atmospheric methane levels have surged to record highs in recent years and are projected to increase by as much as 13 percent by 2030, according to a report from the Climate & Clean Air Coalition.

As scientists work to better understand what is driving this rise, a new collaborative study published in Nature Communications used methane isotopologues to trace where recent emissions originate and how they are changing around the world.

Methane isotopologues are natural variations of methane that contain atoms with slightly different masses, such as heavier or lighter forms of carbon or hydrogen. Although they behave the same way in the atmosphere, scientists can distinguish between them using specialized instruments.

These subtle differences act like fingerprints, revealing clues about where the methane comes from and how it has changed over time.

“Methane isotopologues act like natural fingerprints,” said Xueying Yu, research faculty at the University at Albany’s Atmospheric Sciences Research Center and the study’s first author. “They allow us to distinguish between different methane sources and better understand how emissions are evolving.”

To conduct the study, Yu and an international team of researchers combined satellite observations with ground-based methane isotope measurements to refine global emission estimates from 2019 to 2021.

By incorporating isotopic information, the model estimated slightly higher global methane emissions compared to results based on methane observations alone.

The study also revealed important regional differences. Emissions were higher in East Asia (particularly China), South Asia (particularly in India), and Central Africa. In contrast, emissions in the Amazon Basin were lower than previously estimated.

“Methane is a powerful greenhouse gas released from both natural sources and human activities,” Yu said. “Our findings suggest human activities are playing a larger role in recent methane increases than previously thought—especially fossil fuel emissions in regions like China and India—while emissions from natural wetlands in the Amazon appear lower than expected.”

Along with its findings, the study introduces a new approach for tracing methane emissions by simulating isotopes within a fully three-dimensional atmospheric system.

Previous methane isotope studies relied largely on simplified “box models,” which could not fully capture atmospheric transport, mixing, or regional variability. The new framework instead integrates isotopic data directly into a three-dimensional Earth system model.

“This method allows us to combine satellite methane data and ground-based isotope measurements consistently across space and time,” Yu said. “It provides a more physically realistic and better-constrained picture of methane sources and processes than previous approaches.”

The study brought together researchers from the United States, Australia, Japan, France, Denmark and the Netherlands, highlighting a broad international collaboration in atmospheric and Earth system science.

Yu and the research team plan to continue refining their methane modeling approach with support from UAlbany’s Center for Emerging Artificial Intelligence Systems, a $20 million research partnership between IBM and the university.