Tracer-based Rapid Anthropogenic Carbon Estimation (TRACE)
<p>The ocean is one of the largest sinks for anthropogenic carbon dioxide (C<span class="inline-formula"><sub>anth</sub></span>) and its removal of carbon dioxide (CO<span class="inline-formula"><sub>2</sub>)</span> from the a...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/17/3073/2025/essd-17-3073-2025.pdf |
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| Summary: | <p>The ocean is one of the largest sinks for anthropogenic carbon dioxide (C<span class="inline-formula"><sub>anth</sub></span>) and its removal of carbon dioxide (CO<span class="inline-formula"><sub>2</sub>)</span> from the atmosphere has been valued at hundreds of billions to trillions of US dollars in climate mitigation annually. The ecosystem impacts caused by planet-wide shifts in ocean chemistry resulting from marine C<span class="inline-formula"><sub>anth</sub></span> accumulation are an active area of research. For these reasons, we need accessible tools to quantify ocean C<span class="inline-formula"><sub>anth</sub></span> inventories and distributions and to predict how they might evolve in response to future emissions and mitigation activities. Unfortunately, C<span class="inline-formula"><sub>anth</sub></span> estimation methods are typically only accessible to trained scientists and modelers with access to significant computational resources. Here, we make modifications to the transit time distribution approach for C<span class="inline-formula"><sub>anth</sub></span> estimation that render the method more accessible. We also release software (BRCScienceProducts, 2025) called “Tracer-based Rapid Anthropogenic Carbon Estimation version 1” (TRACEv1) that allows users – with one line of code – to obtain C<span class="inline-formula"><sub>anth</sub></span> and water mass age estimates throughout the global open ocean from user-supplied values of geographic location, pressure, salinity, temperature, and the estimate year. We use this code to generate a data product of global gridded open-ocean C<span class="inline-formula"><sub>anth</sub></span> distributions (TRACEv1_GGC<span class="inline-formula"><sub>anth</sub></span>; Carter, 2025) that ranges from the preindustrial era through 2500 under a range of Shared Socioeconomic Pathways (SSPs, or atmospheric CO<span class="inline-formula"><sub>2</sub></span> concentration pathways). We estimated the skill of these estimates by reconstructing C<span class="inline-formula"><sub>anth</sub></span> in models with known distributions of C<span class="inline-formula"><sub>anth</sub></span> and transient tracers and by conducting perturbation tests. In the model-based reconstruction test, TRACEv1 reproduces the global ocean C<span class="inline-formula"><sub>anth</sub></span> inventory to within <span class="inline-formula">±10</span> % in 1980 and 2014. We discuss implications and limitations of the projected C<span class="inline-formula"><sub>anth</sub></span> distributions and highlight ways that the estimation strategy might be improved. One finding is that the ocean will continue to increase its net C<span class="inline-formula"><sub>anth</sub></span> inventory at least through 2500 due to deep-ocean ventilation, even with the SSP in which intense mitigation successfully decreases atmospheric C<span class="inline-formula"><sub>anth</sub></span> by <span class="inline-formula">∼60</span> % in 2500 relative to the 2024 concentration. A notable limitation of this and similar projections made with TRACEv1 is that ongoing and potential future warming and changing oceanic circulation patterns with climate change are not captured by the method. The data products generated by this research are available as MATLAB code (<a href="https://doi.org/10.5281/zenodo.15692788">https://doi.org/10.5281/zenodo.15692788</a>, BRCScienceProducts, 2025) and a spatially and temporally gridded data product (<a href="https://doi.org/10.5281/zenodo.15692788">https://doi.org/10.5281/zenodo.15692788</a>, BRCScienceProducts, 2025).</p> |
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| ISSN: | 1866-3508 1866-3516 |