This paper introduces an impulse response function (IRF) approach to quantify carbon uptake from ocean alkalinity enhancement, enabling prediction of CO₂ removal over time from short-duration model simulations. Results from global ocean model tests show the method can estimate carbon uptake with only a few percent error, supporting its potential use in robust monitoring, reporting, and verification (MRV) and carbon accounting frameworks for ocean-based carbon dioxide removal (CDR).

This study presents results from APO-MIP1, the first model intercomparison project to evaluate how well atmospheric transport models simulate Atmospheric Potential Oxygen (APO) by comparing them against surface, airborne, and shipboard observations. The findings reveal systematic transport biases and provide new benchmarks and datasets to improve APO flux estimates and understanding of ocean biogeochemical processes.

This study introduces MARBL-8P4Z, an expanded marine ecosystem model in CESM that represents a more realistic plankton food web with multiple phytoplankton groups and zooplankton size classes. The model reproduces observed global patterns in plankton biomass, community structure, and biogeochemistry, improving our ability to capture ecosystem–biogeochemistry interactions and assess climate-driven changes in the ocean.

This study presents global maps of ocean alkalinity enhancement efficiency, showing how air–sea CO₂ equilibration varies by location and season. The results identify distinct fast and slow equilibration phases and highlight where and when OAE deployments may be most effective, with implications for both siting decisions and regional modeling needs.

This study combines physiological trait data with large-ensemble climate model simulations to assess how ocean warming and deoxygenation jointly constrain viable habitats for marine life. The results show that human-driven changes in temperature and oxygen are emerging faster than natural variability and will substantially reduce aerobic habitat volume, pushing many organisms closer to their physiological limits.

This study investigates how Southern Ocean storms influence air–sea CO₂ exchange, finding that extratropical storms tend to drive CO₂ outgassing through enhanced disequilibrium. Comparisons between models and observations reveal large discrepancies, suggesting storms play a larger role in the Southern Ocean carbon sink than is currently captured by climate models.

This study uses CMIP6 Earth system models to assess how sparse ocean observations bias estimates of long-term oxygen decline. The results show that common gap-filling methods likely underestimate global deoxygenation highlighting the need for improved approaches to quantify oxygen trends and their uncertainties.

This study uses an eddy-resolving ocean biogeochemical model to show that vertical mixing plays a major role in supplying oxygen to the tropical Pacific thermocline. The results highlight vertical mixing as a critical, seasonally varying oxygen pathway that complements large-scale circulation and must be represented to accurately predict future oxygen changes.

This study uses airborne CO₂ measurements and an isentropic inverse modeling approach to produce improved estimates of Southern Ocean air–sea CO₂ exchange, revealing previously unresolved seasonal features across latitude bands. The results also identify systematic biases in atmospheric transport models, highlighting the importance of constraining atmospheric mixing to better quantify the Southern Ocean carbon sink.

Early-stage MRV for ocean alkalinity enhancement must prioritize transparency, reproducibility, and comprehensive measurement to underpin future carbon dioxide removal (CDR) markets. While field observations can track alkalinity delivery and local chemical and ecological responses, robust verification of carbon removal will ultimately require validated numerical models.