信頼性アンサンブル平均法を用いた異なるシナリオ下の炭素中立時における中国の気候極値予測

Projections of Climate Extremes over China Under Carbon Neutrality in Different Scenarios Using the Reliability Ensemble Averaging Method (原題)

Huanhuan Zhu, Brian Odhiambo Ayugi

Atmosphere📚 査読済 / ジャーナル2026-11-02#気候科学Origin: CN

DOI: 10.3390/atmos17111080

原典: https://doi.org/10.3390/atmos17111080

🤖 gxceed AI 要約

日本語

CMIP6の12モデルと改良型REA法を用い、SSP1-1.9/2.6シナリオ下で炭素中立到達後の中国の極端気候を予測した研究。炭素中立は2042/2063年に到達し、気温・降水極値が地域別に増加する。早期の炭素中立達成が極端現象の悪化抑制に寄与しうると示す。

English

Using 12 CMIP6 models and an improved reliability ensemble averaging method, this study projects China's climate extremes after carbon neutrality under SSP1-1.9/2.6. Carbon neutrality is reached in 2042/2063, with regionally varying increases in temperature and precipitation extremes. Earlier neutrality could mitigate worsening extremes.

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

日本のGX実務への直接的接続は薄いが、炭素中立シナリオの物理的影響評価は適応策・気候リスク開示（TCFD物理リスク）の基礎資料として参考になる。

In the global GX context

Adds regional physical-risk evidence for post-neutrality climate extremes, relevant to TCFD/ISSB physical risk assessment and adaptation planning under net-zero pathways, though focused on China.

👥 読者別の含意

🔬研究者:CMIP6モデルの地域別極値予測と不確実性評価の手法として参考になる。

🏢実務担当者:中国拠点の物理的気候リスク評価・適応計画の基礎データとして活用可能。

🏛政策担当者:炭素中立達成時期の前倒しが極端気象抑制に寄与することを示す政策根拠。

📄 Abstract（原文）

This study investigated future changes in extreme climate events over China under carbon neutrality using an improved reliability ensemble averaging (REA) method, based on 12 Coupled Model Intercomparison Project Phase 6 (CMIP6) models under the SSP1-1.9 and SSP1-2.6 scenarios. Results indicated that carbon neutrality is reached in 2042/2063 under SSP1-1.9/SSP1-2.6. Relative to 1995–2014, the areal-mean increases in annual mean temperature (Tav), hottest day temperature (TXx), coldest night temperature (TNn), total precipitation (Prcptot), and heavy precipitation (R95p) are 1.27/1.61 °C, 1.31/1.69 °C, 1.45/1.84 °C, 9.5/13.3%, and 20.8/29.6% under SSP1-1.9/SSP1-2.6, respectively. Larger increases in Tav and TNn occur in northeastern (NE) and northern China, while those in TXx occur in northwestern (NW) China. Temperature projections are most (least) robust in southeastern China (NE). Prcptot increases largely in the Tibetan Plateau (TB) and NE, while R95p increases largely in TB and south of the Yangtze River. The smallest but most robust precipitation increase is in southwestern China, while the least robust is in NW. The areal-mean Tav, TXx, and TNn increase by 0.34 °C, 0.38 °C, and 0.39 °C under SSP1-2.6 (late carbon neutrality) compared with SSP1-1.9 (early carbon neutrality), while those for Prcptot and R95p increase by 3.8% and 8.8%, respectively. Achieving carbon neutrality earlier may contribute to mitigating future climate change and reducing the worsening of extreme temperature and precipitation extremes over parts of China.

🔗 Provenance — このレコードを発見したソース

openalex https://doi.org/10.3390/atmos17111080first seen 2026-11-04 04:50:13 · last seen 2026-11-06 04:48:10

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