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September 16, 2025Geoscientific model development2 citationsOpen Access

The Atmospheric Potential Oxygen forward Model Intercomparison Project (APO-MIP1): evaluating simulated atmospheric transport of air-sea gas exchange tracers and APO flux products

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YJYuming JinBSBritton B. StephensMLMatthew C. Long

Key Points

  • Significant spread and bias in APO simulations were found at eastern Pacific surface stations, posing challenges for accurate representation.
  • Airborne observations revealed that most atmospheric transport models overestimate tracer diffusive mixing, impacting mid-latitude calculations.
  • Independent mixing constraints were employed to isolate ATM-related biases in simulated APO distributions for better accuracy.
  • Shipboard observations indicated models failed to replicate seasonal APO gradients in key Antarctic regions, suggesting model and flux uncertainties.

Abstract

Abstract. Atmospheric Potential Oxygen (APO, defined as O2 + 1.1 × CO2) is primarily a tracer of ocean biogeochemistry and fossil fuel burning. APO exhibits strong seasonal variability at mid-to-high latitudes, driven mainly by seasonal air-sea O2 exchange. We present results from the first version of the Atmospheric Potential Oxygen forward Model Intercomparison Project (APO-MIP1), which forward transports three air-sea APO flux products in eight atmospheric transport models or model variants, aiming to evaluate atmospheric transport and flux representations by comparing simulations against surface station, airborne, and shipboard observations of APO. We find significant spread and bias in APO simulations at eastern Pacific surface stations, indicating inconsistencies in representing vertical and coastal atmospheric mixing. A framework using airborne APO observations demonstrates that most atmospheric transport models (ATMs) participating in APO-MIP1 overestimate tracer diffusive mixing across moist isentropes (i.e., diabatic mixing) in mid-latitudes. This framework also enables us to isolate ATM-related biases in simulated APO distributions using independent mixing constraints derived from moist static energy budgets from reanalysis, thereby allowing us to assess large-scale features in air-sea APO flux products. Furthermore, shipboard observations show that ATMs are unable to reproduce seasonal APO gradients over Drake Passage and near Palmer Station, Antarctica, which could arise from uncertainties in APO fluxes or model transport. The transport simulations and flux products from APO-MIP1 provide valuable resources for developing new APO flux inversions and evaluating ocean biogeochemical processes.

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Cite This Study

Jin et al. (2025) studied this question.

synapsesocial.com/papers/68d4538f31b076d99fa58d4dhttps://doi.org/10.5194/gmd-18-5937-2025
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