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New AI approach sharpens picture of carbon export in the Southern Ocean

New AI approach sharpens picture of carbon export in the Southern Ocean
Over the course of 10 days, a robotic BGC-Argo float moves up and down the water column, collecting ocean conditions across vast regions and then transmitting that data to scientists. Credit: Kim Fulton-Bennett, 2020/MBARI

The Southern Ocean plays an important role in global climate and carbon cycling. Understanding carbon export in this region is critical for modeling Earth's changing climate and evaluating potential ocean-based climate interventions.

In the vast expanse of the Southern Ocean, invisible highways of flow from the surface to the . This "carbon superhighway" is a key part of Earth's climate system, moving carbon dioxide from the atmosphere into the ocean's depths, where it can be stored for decades or centuries. Measuring the speed and capacity of that highway鈥攁nd how it is changing鈥攈as long challenged scientists, especially in the planet's most remote waters.

A new study led by MBARI Postdoctoral Fellow Guillaume Liniger, in collaboration with the University of Washington Cooperative Institute for Climate, Ocean, and Ecosystem Studies (CICOES) and the Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) project, sheds new light on ocean productivity and carbon export in the Southern Ocean.

Combining a massive trove of data from robotic floats with cutting-edge machine learning, the team found the ocean's ability to store atmospheric carbon is even greater鈥攁nd growing faster鈥攖han previously thought.

Published this month in Global Biogeochemical Cycles, the shows that annual net community production (ANCP)鈥攁 measure of how much carbon is converted into organic matter and exported to depth鈥攊ncreased by nearly 1% per year between 2004 and 2022. On average, the Southern Ocean exports 3.91 billion metric tons of carbon each year. The research also suggests that traditional methods for estimating ANCP from seasonal nitrate changes may underestimate true carbon export by roughly one-third.

"The ocean plays an integral role in Earth's climate. This work is an important step forward in understanding productivity and carbon cycling in the Southern Ocean that can help improve models of our changing climate," said Liniger.

Unlocking the secrets of a remote ocean

Encircling Antarctica, the Southern Ocean plays an outsized role in the global climate. It covers only about a third of the global ocean's surface area but accounts for a much larger share of oceanic carbon uptake. Powerful winds and currents mix deep, nutrient-rich waters to the surface, fueling blooms of microscopic phytoplankton. These tiny plants use sunlight and nitrate to grow, pulling in carbon dioxide from the atmosphere in the process.

As phytoplankton die or are consumed, a portion of their carbon-rich material sinks, carrying atmospheric carbon to the deep ocean. This biological carbon pump is a critical climate regulator. But harsh weather, sea ice, and sheer remoteness make it one of the most difficult systems to observe directly.

A network beneath the waves

SOCCOM, an hosted by the Scripps Institution of Oceanography to study the Southern Ocean, is part of the international Biogeochemical-Argo (BGC-Argo) program that deploys autonomous profiling floats equipped with sensors that measure temperature, salinity, oxygen, nitrate, pH, and other key variables. Since 2014, SOCCOM has released more than 300 floats into the Southern Ocean. These floats surface every 10 days to transmit their data via satellite.

MBARI has been instrumental in developing and refining the chemical sensors that make these measurements possible. "These floats are our eyes and ears in a part of the ocean where shipboard measurements are sparse," said MBARI Senior Scientist Ken Johnson, a co-author on the new study. "They give us year-round, basin-wide coverage that was unimaginable a decade ago."

Teaching machines to see patterns

The new research hinged on an ambitious step: teaching an artificial neural network to recognize patterns in nitrate data collected by the floats. Nitrate is a vital nutrient for phytoplankton growth and a reliable way to measure ANCP. By constraining the neural network with the dense spatial and temporal coverage from BGC-Argo, and correcting for physical and sampling biases using the Biogeochemical Southern Ocean State Estimate model, the research team generated consistent nitrate estimates across the entire Southern Ocean and throughout the year.

"We wanted a model that could fill in the gaps of both space and time and approximate the physical and biogeochemical conditions of the Southern Ocean as realistically as possible," explained Liniger. "Machine learning gave us a way to do that."

A clearer, and bigger, number

With these improved nitrate fields, the researchers recalculated ANCP and found that the Southern Ocean's carbon export is not only substantial, but also increasing. The results aligned with satellite observations showing rising surface chlorophyll concentrations and with model outputs predicting higher export fluxes.

Equally important, the analysis revealed a blind spot in common approaches. Estimates based solely on the seasonal drawdown of nitrate during spring and summer missed significant exports happening outside that window, leading to undercounts of about 38%. This finding has implications for how scientists calculate global carbon budgets and how they validate climate models.

Global data, shared impact

Like MBARI, SOCCOM makes all of its data freely available, supporting research on ocean chemistry and climate worldwide. This openness is by design: the Southern Ocean is a shared global resource, and understanding its role in climate regulation requires international collaboration.

"This work shows the power of combining open, high-quality data with innovative analysis," said Johnson. "It's not just about producing a better number, it's about providing the tools policymakers and resource managers need to make informed decisions about the future of the ocean鈥攁nd the entire planet."

Looking ahead

As climate change accelerates, keeping a close eye on the Southern Ocean's carbon dynamics is crucial. This machine learning approach offers an improved way to monitor long-term trends and detect emerging changes in this critical system.

As part of MBARI's ongoing work to understand the ocean-climate connection, we envision applying similar methods to other regions and expanding the range of variables predicted by neural networks. Using from state-of-the-art research vessels to advanced AI, our researchers will continue to explore the integral role of the ocean in Earth's carbon cycle and climate.

As we make the invisible flows of the carbon superhighway more visible, we hope to increase our understanding of the climate system we all depend on and gain new insights to help guide decision-making about climate change and evaluate ocean-based climate interventions.

This research also demonstrates MBARI's commitment to leveraging our advanced technology and engineering expertise to answer fundamental questions about polar environments and other components of the cryosphere. This information can help resource managers and policymakers make decisions about the future of this important ecosystem.

More information: Guillaume Liniger et al, Two Decades of Increase in Southern Ocean Net Community Production Revealed by BGC鈥怉rgo Floats, Global Biogeochemical Cycles (2025).

Journal information: Global Biogeochemical Cycles

Citation: New AI approach sharpens picture of carbon export in the Southern Ocean (2025, August 27) retrieved 27 August 2025 from /news/2025-08-ai-approach-sharpens-picture-carbon.html
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