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Author Archive for mmaheigan

A small pH bias can make Southern Ocean CO₂ uptake look too weak

Posted by mmaheigan 
· Friday, May 22nd, 2026 

The Southern Ocean is one of the most important regions for absorbing anthropogenic CO₂, and it is one of the most challenging places to observe, until Biogeochemical (BGC) Argo floats began to monitor this remote region year-round. Yet, CO₂ uptake estimates based on float data have suggested a much weaker uptake Southern Ocean than estimates from ships and aircraft observations. This strongly challenges the conventional view of Southern Ocean carbon sink and raises questions about the float pH data. Could this disagreement come from a bias in the pH measurements used to calculate float-derived pCO₂?

A study published in Scientific Reports, tested this by comparing BGC Argo float data with high-quality ship-based observations across the Southern Ocean. Rather than focusing only on the surface or on a small number of float-ship crossover points, we carried out a basin-scale, multi-variable, whole-profile comparison using GLODAP as a reference, and then checked the surface signal independently with OceanSODA.

First, we focused on old subsurface waters with minimal anthropogenic carbon, where ship and float data collected at different times are comparable. Float temperature, salinity, nitrate, oxygen, and algorithm-estimated total alkalinity (TA) were consistent with ship data. pH from floats, in contrast, was systematically lower (by ~ 0.021 units), leading to higher derived pCO₂ (by ~ 20 µatm) and dissolved inorganic carbon (DIC). At the surface, two independent approaches suggest that float-derived pCO₂ is biased high by 15 ± 3 µatm on average. This bias is larger than previously recognized and is large enough to help explain why float-based estimates have made Southern Ocean CO₂ uptake appear weaker than estimates from other observing platforms.

Figure caption: Conceptual summary of how a small negative bias in float pH can propagate into a positive bias in derived surface pCO₂. In this study, basin-scale float–ship comparisons and surface checks against OceanSODA suggest that float-derived Southern Ocean surface pCO₂ is biased high by 15 ± 3 µatm, which would make CO₂ uptake by the Southern Ocean appear weaker than it actually is.

These findings do not diminish the value of BGC Argo float data. Instead, they show how essential careful calibration is when autonomous observations are used to quantify air-sea CO₂ exchange. We suggest that future float pH adjustment should use multiple reference depths, rather than rely on a single deep reference point. Combining improved float calibration with continued ship-based measurements will significantly strengthen our ability to quantify the Southern Ocean carbon sink and its role in the global carbon cycle. 

Authors:
Chuqing Zhang (University of Southampton; National Oceanography Centre Southampton)
Yingxu Wu (Polar and Marine Research Institute, Jimei University)
Peter J. Brown (National Oceanography Centre)
David Stappard (University of Southampton; National Oceanography Centre Southampton)
Amavi N. Silva (University of Southampton; National Oceanography Centre Southampton; GEOMAR Helmholtz Centre for Ocean Research Kiel)
Toby Tyrrell (University of Southampton; National Oceanography Centre Southampton)

 

Citation: Zhang, C., Wu, Y., Brown, P.J. et al. A systematic bias in float pH leads to overestimation of derived pCO2 and underestimation of carbon uptake by the Southern Ocean. Sci Rep 16, 13929 (2026). https://doi.org/10.1038/s41598-026-43863-4

 

 

What happens when marine snow and oil mix?

Posted by mmaheigan 
· Friday, May 22nd, 2026 

The Deepwater Horizon oil spill (April-July 2010) in the NE Gulf of Mexico provided researchers with an opportunity to explore what happens when marine snow and oil mix. Marine snow are detrital particles or aggregates consisting of inorganic and organic components, such as bacteria, phytoplankton cells, zooplankton fecal pellets, and mucous feeding webs, and are important in the biological pump and export of carbon to deep water. It is now known that marine snow and oil interact to form marine-oil-snow (MOS) which sediments to the seafloor, supported by observations from experiments, sediment traps, and sediment cores.

In a recent study published in the Journal of Geophysical Research Oceans, the authors provide additional analyses of the impact of oil on marine snow. The SIPPER camera imaging system was deployed on 13 cruises between May 2010 and August 2014 (during and after the oil spill), collecting more than 117 million images of aggregates. Analyses of these images indicated that diatom chains and Acantharian (small animals) spines were relatively common components of aggregates. The oil spill, combined with high Mississippi River outflow, resulted in marine snow concentrations that were significantly higher with larger-sized particles during the oil spill than in follow-on years. The shape of particles was consistently elongated in all years compared to the spherical shape assumed for simulations of particle sinking speeds. Analysis of the fractal dimension or surface roughness of particles indicated that during the oil spill (May 2010) aggregates had significantly higher fractal dimensions, suggesting that oil droplets in the marine-oil-snow reduced the amount of empty space within aggregates, thereby increasing particle density and increasing the sedimentation of oil. Fractal dimensions also increased with particle size in all years and, therefore, was not an impact of the oil spill. These data provide a baseline for future biogeochemical studies in the northern Gulf of Mexico and for model development for future oil spill response scenarios.

Figure caption. The abundance and distribution of marine snow was spatially variable, but unusually high in the upper 20 m of the water column during the summer following the Deepwater Horizon (DWH) oil spill (upper panel). Previously reported concentrations were 1,000 – 6,000 particles m-3. High concentrations occurred at the DWH platform site and shelf edge stations (lower right panel). Smaller sized particles were abundant near surface with larger particles (up to 1 cm) observed deeper in the water column (lower left panel). Examples of marine snow images are shown at the bottom. nVd is the normalized particle volume spectra, d is the median diameter within each particle size bin.

 

Authors:
Kendra L. Daly (University of South Florida)
George Jackson (Texas A&M University)
Andrew Remsen (Bureau of Ocean Energy Management)
Kurt Kramer (OceanSpace Sensors)
Palak Dave (Moffitt Cancer Center and Research Institute)
Dmitry B. Goldgof (University of South Florida)
Lawrence Hall (University of South Florida)

 

Citation:

Daly, K. L., Jackson, G., Remsen, A., Kramer, K., Dave, P., Goldgof, D. B., & Hall, L. (2026). Marine snow dynamics in the NE Gulf of Mexico: Particle abundance, characteristics, and impacts on Deepwater Horizon oil sedimentation. Journal of Geophysical Research: Oceans, 131, e2025JC023316. https://doi.org/10.1029/2025JC023316

 

Register for the 7th DMS(P) Symposium: Sulfur Carbon Nexus in the SOLAS Sphere

Posted by mmaheigan 
· Monday, May 18th, 2026 

A joint workshop with SCOR, SOLAS, and Schmidt Sciences: Climate

October 12-15, 2026 in person at Bigelow Laboratory (Boothbay Harbor, Maine) and online.

The organosulfur compound dimethylsulfoniopropionate (DMSP) ignited an entire subfield of biogeochemistry to investigate the precursor of the “anti-greenhouse gas” dimethylsulfide (DMS). Since then, decades of research have unveiled the importance of DMS(P), and related compounds, to carbon cycling and air-sea interactions, and ultimately an outsized contribution to global climate. This Symposium will bring together a diversity of researchers interested in synthesizing the inextricable link of the sulfur and carbon cycles from cellular to global scale processes. OCB will provide partial support for this workshop, to be held at the Bigelow Laboratory later this year in partnership with Schmidt Sciences: Climate, SOLAS, and SCOR.

Leads: Stephen Archer (Bigelow Laboratory for Ocean Sciences), Erin McParland (Oregon State University), David Kieber (State University of New York) and Patricia Matrai (Bigelow Laboratory for Ocean Sciences), Katherina Petrou (University of Technology Sydney) and Elisabeth Deschaseaux (Institut de Ciènces del Mar).

This will be the first DMS(P) Symposium gathering since the 6th Symposium, held in Barcelona, Spain, in 2014! More information will continue to be updated on the Symposium webpage.

The sessions are:
Atmosphere: carbon – sulfur chemistry and aerosols
Air-sea exchange of carbon – sulfur compounds
Carbon-sulfur ocean processes: molecular to ecosystem to global
Translating observations into models: biogeochemistry to climate

Registration is now open. 

Learn more and register

New OCSIF Subcommittee

Posted by mmaheigan 
· Thursday, May 14th, 2026 

This new OCSIF OCB subcommittee focused on identifying and addressing uncertainties in the seawater carbonate system and increasing measurement inter-comparability, now has a full membership – see the new members and more info here.

New BECS publications!

Posted by mmaheigan 
· Friday, May 8th, 2026 

Two papers published by the BECS WG!

Schultz, C., Luo, J. Y., Brady, D. C., Fulweiler, R. W., Long, M. H., Petrik, C. M., Testa, J. M., Benway, H. M., Burdige, D., Cecchetto, M. M., Elegbede, I., Evans, N., Frenzel, A., Gillen, K., Herbert, L. C., Hirsh, H. K., Lessin, G., Levin, L., Maiti, K., Malkin, S., Mincks, S. L., Nmor, S., Pham, A., Pinckney, J., Rabouille, C., Rahman, S., Rakshit, S., Ray, N. E., Sasaki, D. K., Siedlecki, S. A., Somes, C., Stubbins, A., Sulpis, O., Trevisan, C., Xu, Y., Yin, H. (2025). Elucidating the role of marine benthic carbon in a changing world. Global Biogeochemical Cycles, 39, e2025GB008643. https://doi.org/10.1029/2025GB008643.

Siedlecki, S., Nmor, S., Lessin, G., Kearney, K., Rakshit, S., Petrik, C., Luo, J., Schultz, C., Sasaki, D., Gillen, K., Pham, A., Somes, C., Brady, D., Testa, J., Rabouille, C., Elegbede, I., and Sulpis, O. (2025). Sediment Biogeochemistry Model Intercomparison Project (SedBGC_MIP): motivation and guidance for its experimental design, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-1846.

 

 

SOOS webinar and ECR call for leadership in WGs

Posted by mmaheigan 
· Tuesday, May 5th, 2026 

SOOS & APECS are seeking Early Career Researchers (ECRs) to join the leadership of several Regional Working Groups:

    • Amundsen and Bellingshausen Sector (ABS)
    • Ross Sea
    • West Antarctic Peninsula and Scotia Arc (WAPSA)

This role helps connect observations, data & people across regions while contributing to coordination, communication, and community building in Southern Ocean science.

You’ll also gain:
– international network connections
– experience in science coordination & leadership
– potential contributions to publications

Deadline: 18 May 2026
Apply

———————————————————-

Webinar! New ways to eat: ecological influences on novel feeding in WAP humpback whales

Listen to Jenny Allen (University of St Andrews ) talk about novel feeding behaviour in humpback whales on 7 May 2026 at 13:00 UTC – brought to you by the SOOS WAPSA working group.
Everyone welcome!
Register here: go.soos.aq/WAPSA_webinar_register

 

Register today for these upcoming OCB webinars

Posted by mmaheigan 
· Thursday, April 30th, 2026 

May 28, 11am ET SedMIP webinar
Introducing GFDL's Carbon, Benthic Ecosystems, and Diagenesis model (CBED) - Jessica Luo (NOAA GFDL) and Subhadeep Rakshit (Princeton Univ)
Register

 

June 23, 1pm ET: Metabarcoding Intercal WG webinar
OCB meta-eukomics: Insights from a microeukaryote metatranscriptomics intercomparison effort (Speakers: Natalie Cohen, Univ Georgia; Sarah Hu, TAMU; Harriet Alexander, WHOI)

MetaZooGene Intercalibration Experiment, Director's Cut: Unpacking the Details (Speaker: Leocadio Blanco Bercial, BIOS/ASU)
Register

 

June 25, 11 am SedMIP webinar - Olivier Sulpis (CEREGE, France) and Hinne van der Zant (LIENs, La Rochelle University, France) on the RADI model (https://doi.org/10.5194/egusphere-2025-2244).
Register

 

Find all upcoming and past OCB webinars here, and watch recordings on topical playlists on the OCB YouTube Channel.

El Niño-driven changes in the tropical Pacific O2 content and structure

Posted by mmaheigan 
· Wednesday, April 29th, 2026 

What drives the year-to-year variability of dissolved oxygen (O2) in the tropical Pacific? A recent study explored this question using a global high-resolution model with active ocean biogeochemistry along with a machine learning based estimate of dissolved oxygen from Argo floats. El Niño and La Niña events play a major role in regulating the O2 content and distribution in the tropical Pacific. El Niño events result in excess O2 in the eastern tropical Pacific and reduced O2 in the west. La Niña yields opposite patterns. In contrast to previous speculations that lower model resolution leads to an underestimate of observed O2 variability in this region, we find little difference in the amplitude of the O2 content change between models of different resolution (~1º vs 0.1º) and the observations-based machine learning estimate. ENSO-driven variability of O2 in the eastern tropical Pacific is driven by large opposing physical and biological contributions: reduced upwelling of low-O2 waters and weaker O2 consumption at depth due to suppressed biological productivity during El Niño dominate over the reduction in O2 ventilation by vertical turbulent mixing and the Equatorial Undercurrent, and the opposite occurs during La Niña. This subtle balance between competing processes suggests that future changes in O2 in the tropical Pacific are likely to be sensitive to local changes in equatorial Pacific circulation and productivity, in addition to changes in large scale O2 supply from the mid and high latitude basins as the ocean warms and stratifies. These O2 changes have important implications for understanding and predicting marine ecosystem health and fisheries productivity throughout the tropical Pacific.

 

Figure: ENSO impacts on temperature and O2 shown as regression of Nino 3.4 index on a) temperature anomalies, and b) O2 anomalies in a high resolution simulation of CESM. Panel c) illustrates the main mechanisms governing the O2 response to El Niño events.

Authors
Yassir A. Eddebbar (Scripps Institution of Oceanography)
M L. Hoffman (Scripps Institution of Oceanography)
Jonathan D. Sharp (UW/NOAA)
Daniel B. Whitt (NASA Ames)
Aneesh C. Subramanian (CU Boulder)
Sam Stevenson (UC Santa Barbara)

@NCAR_CGD @CUBoulderATOC @Scripps_Ocean @aneeshcs @CLIVAR @USCLIVAR

 

Citation: Eddebbar, Y. A., Hoffman, E. L., Sharp, J. D., Whitt, D. B., Subramanian, A. C., & Stevenson, S. (2026). ENSO-Driven Variability of Oxygen Content and Distribution in the Tropical Pacific. Journal of Climate, 39(5), 1333-1353. https://doi.org/10.1175/JCLI-D-25-0476.1

When plastics slip into the carbon cycle

Posted by mmaheigan 
· Wednesday, April 29th, 2026 

What if a tiny amount of plastic could make the ocean’s carbon appear thousands of years older than it really is?

For decades, oceanographers have relied on routine measurements of particulate organic carbon to understand how carbon moves through the ocean, how long it persists, and how it shapes Earth’s climate. These measurements, based on combusting or oxidizing environmental samples and measuring the carbon released as CO₂, assume that the carbon being measured comes from natural biological sources. But what if that assumption is no longer safe?

Microplastics are now pervasive throughout the ocean, from coastal waters to the open sea. These tiny fragments originate from the breakdown of larger plastic debris or are manufactured directly for commercial and industrial uses. Once they enter marine systems through rivers, wastewater, or runoff, they mix seamlessly with natural particles and are easily captured during routine sampling of particulate organic matter. Critically, the analytical tools used to quantify carbon in these samples cannot distinguish plastic-derived carbon from carbon produced by living organisms.

In our study, we set out to test how much this hidden overlap matters. Using controlled experiments, we demonstrate that even very small amounts of fossil fuel–derived plastic can substantially bias standard measurements of organic matter composition. When microplastics contribute as little as ~1% of a sample’s mass, they introduce large isotopic errors, shifting Δ¹⁴C values by approximately −258‰ and δ¹³C values by −3.65‰. In radiocarbon terms, this translates into organic matter appearing roughly 4,000 years older than it actually is.

Figure: Relationship between δ¹³C, C:N, and radiocarbon (¹⁴C) age for sedimentary organic matter – polyethylene sediment admixtures. Colored boxes denote typical δ¹³C ranges of major carbon reservoirs (POC, DOC, terrestrial). Pie charts show measured positions of polyethylene admixtures (percent polyethylene by mass in parentheses), with yellow and blue sectors representing apparent marine and terrestrial contributions inferred from a two-endmember mixing model. Even 1% polyethylene contamination (red outline) substantially shifts apparent source attribution and radiocarbon age (red values). The black curve shows the modeled δ¹³C–C:N relationship

These findings reveal a quiet but consequential problem. Radiocarbon measurements are widely used to estimate how long carbon persists in the ocean and how resistant it is to degradation. If microplastics are inadvertently included in samples, natural organic carbon can appear artificially older and more stable than it truly is. Because most carbon biogeochemistry studies do not routinely account for the presence of microplastics, existing datasets and models may already be influenced by this contamination to unknown degrees.

Carbon isotope measurements are crucial for estimates of oceanic carbon budgets, inform climate models, and shape our understanding of how the ocean moderates atmospheric CO₂. If microplastics have been altering these measurements for years, then some interpretations of carbon cycling and climate feedbacks may need to be revisited. Recognizing microplastics not only as pollutants, but also as analytical interlopers, is an essential step toward improving the accuracy of ocean carbon science and ensuring that future observations reflect the ocean’s true biological signal.

 

Authors
Luis E. Medina Faull
Gordon T. Taylor
Steven R. Beaupré
(all at School of Marine and Atmospheric Sciences, Stony Brook University)

 

Citation: Medina Faull LE, Taylor GT, Beaupré SR (2025) Microplastic contaminants potentially distort our understanding of the ocean’s carbon cycle. PLoS One 20(10): e0334546. https://doi.org/10.1371/journal.pone.0334546

OCB will support participation in Cornell Summer Satellite Remote Sensing Workshop

Posted by mmaheigan 
· Wednesday, March 25th, 2026 

OCB will support participation in Cornell Summer Satellite Remote Sensing Workshop
June 1 – June 12, 2026, Cornell University, Ithaca New York

The Cornell Summer Satellite Remote Sensing Workshop is being offered once again this year. The workshop is highly methods-oriented and intended to give participants the practical skills needed to work independently to acquire, analyze and visualize large data sets derived from a wide range of ocean satellite sensors.

Strong emphasis is given to ocean color remote sensing and the use of NASA’s SeaDAS software to derive mapped imagery of geophysical parameters using satellite data derived from the most popular ocean color sensors.  Pre-written python scripts will be used in conjunction with SeaDAS to enable processing large quantities of ocean color data from Level-1 to Level-3.  In addition, the workshop will address the acquisition and use of Level-3 satellite data products for sea surface temperature, ocean wind speed and sea surface height.

A central goal of the course is to develop good python programming skills that are needed to make effective use of satellite data to routinely monitor ocean conditions, gain new insights into ocean dynamics, and to rigorously test new hypotheses.  Participants will work with both Jupyter Notebooks and executing python scripts from the Unix Terminal.

For more information about the training workshop content and enrollment process:
Visit: http://oceanography.eas.cornell.edu/satellite
Email: Bruce Monger

OCB will provide tuition, housing, and a travel stipend for up to 4 US-based participants in this training course. Please send the following materials in a single formatted PDF file to hbenway@whoi.edu by April 13:

1) Abbreviated (2 pages max) CV 
2) 1-page statement of interest about how this course would benefit your education, research, and/or professional goals. 

Applications will be reviewed the week of April 13, and applicants will be notified the week of April 20. 

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