Why Global Methane Emissions Are Rising Again Despite a Slowdown in Their Atmospheric Growth
Global methane emissions rebounded in 2024, even though atmospheric concentration showed a slowdown in its growth. This paradoxical trend raises crucial questions for the climate and the fight against warming.
Global methane emissions, a powerful greenhouse gas, rebounded in 2024, despite a notable slowdown in the increase of their concentration in the atmosphere. This apparent divergence puzzles scientists and climatologists because methane plays a key role in climate change.
An unexpected rebound in global methane emissions
According to a study published in Nature Climate on May 6, 2026, global methane emissions increased in 2024. This rise occurs even as the growth of atmospheric methane concentration slowed down. In other words, even if the methane level in the air is no longer increasing as fast, the total amount released into the atmosphere is rising again.
This finding, based on the analysis of satellite data and atmospheric measurements, highlights a complexity in the methane cycle that is still poorly understood.
How to measure and explain this contradiction?
Methane is detected and quantified thanks to neural networks applied to satellite data, notably those collected by the Copernicus programs and ground stations. These technologies allow distinguishing actual emissions from natural variations or atmospheric sinks, such as oxidation by hydroxyl radicals.
The slowdown in atmospheric methane growth could reflect an increase in these natural sinks or chemical processes limiting accumulation. But simultaneously, anthropogenic sources — agriculture, fossil fuel exploitation, landfills — seem to have regained strength, hence the rebound in emissions.
What this rebound means for the climate fight
Methane is about 80 times more effective than CO2 at trapping heat over a 20-year period. Thus, this return to rising emissions challenges international efforts to limit warming to +1.5 °C.
This complex dynamic forces climate predictive models to integrate finer parameters on methane cycles and their interactions with the environment. The machine learning tool used to analyze this data improves forecast accuracy by better identifying methane sources and sinks.
For example, models from the European Centre for Medium-Range Weather Forecasts (ECMWF) now benefit from this enriched data, allowing more precise anticipation of regional climate impacts related to this gas.
Geographical and sectoral origins of emissions
A significant share of methane emissions comes from specific regions where human activities are intense. Hydrocarbon exploitation — notably natural gas and oil — generates leaks that contribute significantly to the overall balance. Furthermore, agricultural areas, particularly cattle farming, are recognized as major sources via enteric fermentation and organic waste management.
Landfills and waste disposal sites also represent a non-negligible source. These various sectors experience variable dynamics depending on national policies, technological innovations, and agricultural practices. This sectoral variability complicates scientists’ task of refining their models to better attribute emissions to their precise origins.
The geographical distribution also shows that some emerging countries, in rapid industrialization phases, see their emissions increase due to intensification of industrial and agricultural activities. These trends contrast with those of developed countries where mitigation measures have been implemented, sometimes leading to stabilization or even local emission decreases.
Natural mechanisms and their role in methane dynamics
Methane has a complex natural cycle involving exchanges between the atmosphere, soils, oceans, and the biosphere. For example, wetlands are the primary natural source of methane, generating about one-third of global emissions. However, these areas are sensitive to climatic variations and can both increase or decrease their emissions depending on environmental conditions.
Moreover, methane is destroyed in the atmosphere mainly by a chemical reaction with hydroxyl radicals, which constitutes an important natural "sink." An increase in the concentration of these radicals could partly explain the slowdown in atmospheric methane growth observed, even if emissions are rising.
This paradox highlights the importance of better understanding feedbacks between natural and anthropogenic emissions. For example, global warming can modify soil temperature and humidity, influencing microbial methane production in wetlands or permafrost, which could ultimately amplify natural emissions.
The importance of continuous monitoring and innovative technologies
Methane emission monitoring has recently benefited from major technological advances. Satellites equipped with sophisticated sensors now allow near-global and near-real-time detection of emissions. Coupled with artificial intelligence algorithms, these tools facilitate fine and rapid data analysis, making precise source identification possible.
This monitoring capacity is crucial to evaluate the effectiveness of emission reduction policies and to adapt measures based on observed results. It also offers increased transparency, essential for international climate negotiations and accountability of different actors.
Furthermore, satellite data enrich climate models by providing updated information that allows refining projections. This synergy between observation, artificial intelligence, and modeling is a major advance for better anticipating short- and medium-term climate consequences.
In summary
The rebound of global methane emissions in 2024, despite a slowdown in the growth of its atmospheric concentration, reveals the complexity of this greenhouse gas cycle. Technological advances, notably in artificial intelligence and satellite observation, now allow more precise analysis of these dynamics and better identification of sources and sinks with higher resolution.
This study highlights the urgency to strengthen continuous monitoring and the integration of these data into climate models to adjust strategies in the fight against climate change. Understanding interactions between natural and anthropogenic emissions is essential to achieve international global warming limitation goals, notably the +1.5 °C target.
The 2024 emissions rebound is a warning signal that should encourage intensifying efforts to reduce anthropogenic sources and deepen research on natural mechanisms influencing the methane cycle.