Contrasting surface and column-averaged CO <sub>2</sub> responses over terrestrial China under carbon peaking and carbon neutrality emission pathways: anthropogenic, biospheric, and regional transport contributions
陸域中国における表層CO2とカラム平均CO2の炭素ピークアウト・カーボンニュートラル排出経路下での対比:人為起源、生物圏、地域輸送の寄与 (AI 翻訳)
Kaiqiang Gu, Yi Yang, Shixiang Su, Xiao‐Ming Hu, Feifan Bian
🤖 gxceed AI 要約
日本語
本研究はWRF-VPRMモデルを用いて、中国の2016年基準、2030年炭素ピークアウト、2060年カーボンニュートラルの3シナリオにおける大気CO2応答を解析した。人為排出の変化に対する表層CO2とXCO2の応答を定量化し、人為起源排出がシナリオ間の差異を支配する一方、生物圏フラックスが季節変動を形成することを示した。また、北京・天津・河北地域の高CO2エピソードは気象条件に強く影響されることを明らかにした。
English
This study uses the WRF-VPRM model to simulate atmospheric CO2 responses over China under baseline (2016), carbon peaking (2030), and carbon neutrality (2060) scenarios. It quantifies the contributions of anthropogenic emissions and biospheric fluxes to surface CO2 and XCO2 changes, finding that anthropogenic emissions dominate scenario differences while biospheric fluxes shape seasonal variations. High-CO2 episodes in the Beijing-Tianjin-Hebei region are strongly modulated by meteorological conditions.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
中国のカーボンニュートラル経路の大気CO2応答を定量的に示しており、日本における排出削減効果の検証や観測戦略の設計に示唆を与える。
In the global GX context
This paper provides a modeling framework to assess the atmospheric impact of emission reduction pathways, relevant for verifying national climate targets and designing observation systems for CO2 monitoring under the Global Stocktake.
👥 読者別の含意
🔬研究者:Provides a method for decomposing anthropogenic vs. biospheric contributions to CO2 changes under emission scenarios, useful for modeling studies.
🏛政策担当者:Demonstrates that atmospheric CO2 responses to emission pathways are modulated by regional transport and biospheric fluxes, emphasizing the need for integrated monitoring and attribution systems for climate policy verification.
📄 Abstract(原文)
Abstract. Understanding how changes in anthropogenic carbon dioxide (CO2) emissions affect surface CO2 mole fraction (surface CO2), column-averaged dry-air CO2 mole fraction (XCO2), and the relative contributions of anthropogenic emissions and biospheric fluxes is essential for evaluating the atmospheric effects of emission mitigation. In this study, the Weather Research and Forecasting Model coupled with the Vegetation Photosynthesis and Respiration Model (WRF-VPRM) was used to simulate three emission scenarios: a 2016 baseline, a 2030 carbon peaking scenario, and a 2060 carbon neutrality scenario, under identical meteorological fields constrained by observations. Contribution decomposition, sensitivity experiments, backward trajectory analysis, and potential source contribution function (PSCF) analysis were combined to diagnose the response mechanisms of atmospheric CO2. Anthropogenic emissions increased by 18.1 % in 2030 relative to 2016, whereas surface CO2 and XCO2 increased by only 0.363 and 0.065 ppm, respectively. In 2060, emissions decreased by 90.3 %, reducing surface CO2 and XCO2 by 1.914 and 0.359 ppm, respectively. The XCO2 response was therefore much weaker than the surface CO2 response. Anthropogenic contributions dominated the differences among scenarios, while biospheric fluxes shaped seasonal variations and became relatively more important under deep emission reductions. The selected high-CO2 episodes in the Beijing-Tianjin-Hebei (BTH) region were strongly modulated by meteorological conditions. Local accumulation dominated under stagnant conditions, whereas upstream transport dominated under favorable transport conditions. These results indicate that atmospheric CO2 responses to carbon peaking and carbon neutrality pathways are jointly shaped by anthropogenic mitigation, biospheric fluxes, and regional transport.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5194/egusphere-2026-3527first seen 2026-07-13 05:39:48
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