the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Improved Comparability and System-Wide Verification to Support a Scalable Carbon Credit Market
Abstract. Achieving net-zero emissions over the coming decades requires unprecedented reductions in anthropogenic emissions of greenhouse gases (GHGs) complemented by a rapid ramp-up in the magnitude of global carbon dioxide removal (CDR). The carbon credit market (CCM) is emerging as a means to finance both emissions reductions and carbon dioxide removal from the atmosphere. To achieve necessary growth on these fronts, the total scope and diversity of projects that are candidates for inclusion in the CCM must expand, necessitating a means of comprehensively assessing the quality of carbon credit projects (CCPs) based on their ability to make quantifiable reductions to GHG concentrations in the atmosphere. Toward a comprehensive quality assessment, we propose a framework to assess and differentiate CCPs based on their estimated impact on atmospheric GHG composition. In parallel, we propose a path towards verification of the aggregated atmospheric impact of CCM actions, since a detectable and attributable signal in atmospheric GHG composition can be viewed as the clearest measure of their climate forcing and, therefore, effectiveness.
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Status: open (until 21 Mar 2026)
- RC1: 'Comment on egusphere-2025-6457', Xueyuan Gao, 11 Mar 2026 reply
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This Perspective proposes a conceptual framework—the Atmospheric Impact Framework (AIF)—to evaluate carbon credit projects based on their measurable impact on atmospheric greenhouse gas concentrations. The paper argues that the ultimate test of carbon credit effectiveness should be observable changes in atmospheric GHG composition and proposes combining atmospheric observations, modeling systems, and risk-adjusted accounting to compare heterogeneous carbon credit types. The authors bring together expertise from atmospheric science, Earth system modeling, and carbon cycle research, and the paper offers an important high-level scientific perspective linking atmospheric monitoring infrastructure to carbon market integrity. The proposal to connect bottom-up MRV approaches with top-down atmospheric verification is particularly compelling and aligns with ongoing efforts to improve transparency in the voluntary carbon market.
I have some specific comments: