National Scenarios Data 2025 - Business As Usual, Current Policies and Net-Zero
国家シナリオデータ2025 - 現状趨勢、現行政策、ネットゼロ (AI 翻訳)
Saritha Sudharmma Vishwanathan, Shinichiro Fujimori, Roberto Schaeffer, Frédéric Ghersi, Alauki Patel, Philip Hackstock, David Almeida, Anuj Pathak, Shoyeb Khan, Ambiyah Abdullah, Varun Agarwal, Jiseok Ahn, David Almeida, Thalia Hernández Amezcua, Gerd Brantes Angelkorte, Raphael Apeaning, Muhammad Awais, Dan Azevedo, Maria-Iro Baka, Luiz Bernardo Baptista +30
🤖 gxceed AI 要約
日本語
本論文は、36カ国57のモデリングチームによる国家別気候シナリオのリポジトリを構築し、標準化されたメタデータで一貫した評価を可能にした。現状趨勢、現行政策、ネットゼロの3経路を提供し、国家レベルの技術発展と急速な移行をグローバル文脈で表現する。データ品質検証プロセスも実装している。
English
This paper presents a repository of national climate scenarios from 57 modeling teams across 36 countries, with standardized metadata for consistent evaluation. It covers business-as-usual, current policies, and net-zero pathways, enhancing national representation in global mitigation scenarios and supporting technology transitions. A customized vetting process ensures data quality.
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
日本はSSBJ開示やGX政策の進展に伴い、国家別シナリオの標準化が投資家対応や政策評価に重要。本データセットは日本のモデルチームも参加し、国内の排出経路分析の国際比較を可能にする。
In the global GX context
This dataset addresses the lack of standardized national scenarios in global climate assessments, complementing IPCC and IAM frameworks. It supports national-level policy evaluation and transition finance by providing consistent, comparable data across countries, aligning with ISSB and TCFD disclosure needs.
👥 読者別の含意
🔬研究者:Provides a standardized national scenario ensemble for cross-country mitigation analysis and model intercomparison.
🏢実務担当者:Offers reference scenarios for corporate transition planning and climate risk assessment.
🏛政策担当者:Supports evidence-based national climate policy design and international reporting.
📄 Abstract（原文）
This is a pre-print of the National Scenarios Data 2025 - Business As Usual, Current Policies and Net-Zero [Paper and SI]. Abstract: Climate change mitigation scenario datasets are a valuable resource that explores socioeconomic pathways, emissions trajectories, and energy transitions. Global mitigation scenario ensembles have been compiled under specific protocols to support scientific assessments and ease of comparison. By contrast, national scenarios have not historically been collected and assessed in a standardized manner; hence remain rarely collected, coordinated and/or systematically assessed at global level. To address these gaps, this study presents a repository of national scenarios containing submissions from 57 modelling teams across 36 countries with standardized metadata to facilitate consistent evaluation. These scenarios reflect socioeconomic development and climate policy measures under three distinct pathways: business as usual, current policies and net-zero targets. We have implemented a customized vetting process during this pilot stage to ensure data quality and consistency. This scenario ensemble addresses a major critique of the global mitigation scenarios by improving national representation at both the model and scenario development level. It also strengthens the representation of technological development and rapid transitions at national-level in a global context. For more information, please contact: Saritha Sudharmma Vishwanathan (Kyoto University, vishwanathan.saritha.5t@kyoto-u.ac.jp, sarithasv@iima.ac.in) Scientific Working Group Co-Chairs: Saritha Sudharmma Vishwanathan (Kyoto University, vishwanathan.saritha.5t@kyoto-u.ac.jp, sarithasv@iima.ac.in) Shinichiro Fujimori (Kyoto University, NIES, IIASA) Roberto Schaeffer (COPPE/UFRJ) Data Processing for Scenario dataset: Saritha Sudharmma Vishwanathan (Kyoto University) Data Quality Check: Saritha Sudharmma Vishwanathan (Kyoto University), Shoyeb Khan (RA, IIMA), Alauki Patel (RA, IIMA) and Anuj Pathak (PhD student, Kyoto University) National Modelling and Scenario Forum (NMSF) Database Infrastructure (Model registration, Scenario submission issues): Phillip Hackstock (IIASA), David Almeida (IIASA), Saritha Sudharmma Vishwanathan (Kyoto University), Daniel Huppmann (IIASA) Data Contributors: Subnational, National, Regional and Global modelling teams
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.21830821first seen 2026-08-11 04:40:47
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。