シナリオMIP-CMIP7 IAM定量化: マーカーシナリオの調和・補完された排出量と気候結果

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Essential reference dataset for climate scenario analysis and integrated assessment modeling.

🏢実務担当者:Provides benchmark scenarios for transition risk assessment and corporate climate strategy development.

🏛政策担当者:Supports evidence-based target setting and policy evaluation for national and global decarbonization.

これは、調和化されたScenarioMIP排出データのプレリリース版です。データ利用と共有に関する規則については、https://scenariomip.apps.ece.iiasa.ac.at のIAM ScenarioMIPデータのデータ利用・共有規則を参照してください。CMIP7 ScenarioMIP-CMIP7向けIAM ScenarioMIP予測の調和化排出量は、定量化された排出量と土地利用予測を含む、代替となる妥当な将来像から構成されています。ScenarioMIPの主な目的は以下の通りです：将来シナリオの物理的气候システムへの影響と、適応・緩和の考慮を含む自然・社会システムへの影響についての理解を深めるための統合研究を促進すること。シナリオベースの研究に関連する強制力の側面の気候影響に関する焦点を絞った科学的疑問に取り組むための基盤を提供すること。マルチモデルアンサンブルに基づく予測の不確実性を定量化するための改善された手法を対象とする様々な国際的努力のための基盤を提供すること。ScenarioMIPは、世界気候研究計画によって組織された結合モデル相互比較プロジェクトの一部であり、気候科学、統合評価モデリング（IAM）、緩和、および影響・適応・脆弱性（IAV）のコミュニティにわたる研究を統合するものです。シナリオ開発プロセスには7つのIAMチームが参加しました。各シナリオは複数のIAMで実装され、利用可能なモデル解釈からマーカーシナリオが選択されました。現在のプレリリースは、マーカーシナリオの調和化排出量のみで構成されています。追加の非マーカー定量化の調和化排出量は後日提供されます。このプレリリースは限られたデータを収録しており、より多くのデータ変数の公開が今後予定されています。利用可能なデータは、気候エミュレータMAGICCとその気候結果に入力された排出変数です。報告される排出変数はCMIP7の歴史的排出量に調和化されており、CMIP7の地球システムモデルの強制力と整合的です：温室効果ガス濃度とグリッド化された排出量は、Earth System Grid Federationで入手可能です（input4MIPs参照：https://input4mips-cvs.readthedocs.io/en/latest/）。詳細については、以下にお問い合わせください：科学リーダー：Keywan Riahi（IIASA、[email protected]）、Detlef van Vuuren（PBL、[email protected]）CMIP7向け排出量の調和化と補完：Jarmo Kikstra（IIASA、[email protected]）、Zebedee Nicholls（Climate Resource、IIASA、Uni Melbourne、[email protected]）ScenarioMIP IAMマーカーチーム：高排出経路（H）はGCAMにより開発主連絡先：Mel George（[email protected]）モデリングチーム：Christoph J. Bertram（[email protected]）、Andrew G. Miller、Xin Zhao、Claudia Rodes Bachs、Jay Fuhrman、Rachel Hoesly、Haewon C. McJeon、Brian O'Neill、Yang Ou、Jon Sampedro、Steven J. Smith、Dirk-Jan Van de Ven、Matt Gidden、Ryna Cui（CGS-UMD [メリーランド大学カレッジパーク校グローバルサステナビリティセンター、公共政策学部、メリーランド州、米国]、KAIST、BC3、北京大学）高から低への排出経路（HL）はWITCHにより開発主連絡先：Laurent Drouet（[email protected]）モデリングチーム：Lara Aleluia Reis、Marco Gambarini、Cindy Azuero、Massimo Tavoni（CMCC）。特定貢献者：Pietro Andreoni（非CO2、ミラノ工科大学）、Nicolas Schlegel（最適化、CMCC）、Stefan FrankおよびYazhen Wu（GLOBIOM、IIASA）中排出経路（M）はIMAGEにより開発主連絡先：Detlef van Vuuren（[email protected]）モデリングチーム：Vassilis Daioglou、Isabela Tagomori、Harmen-Sytze de Boer、Mathijs Harmsen、Ioannis Dafnomilis、Elena Hooijschuur、Maarten van den Berg、Rik van Heerden、Mark Dekker、Jonathan Doelman、Elke Stehfest、Astrid Bos、Willem-Jan van Zeist、Hermen Luchtenbelt（PBL）中から低への排出経路（ML）はCOFFEEにより開発主連絡先：Roberto Schaeffer（[email protected]）、Luiz Bernardo Baptista（[email protected]）、Gerd Angelkorte（[email protected]）モデリングチーム：Pedro Rochedo、Luis Felipe Sivolella、Rebecca Draeger、Pedro Maia、Huang Ken WeiおよびAlexandre Szklo（COPPE）低排出経路（L）はMESSAGE-GLOBIOM-GAINSにより開発主連絡先：Oliver Fricko（[email protected]）、Yazhen Wu（[email protected]）、Shaohui Zhang（[email protected]）モデリングチーム：Oliver Fricko、Yazhen Wu、Shaohui Zhang、Stefan Frank、Mykola Gusti、Lena Höglund-Isaksson、Aneeque Javid、Siddarth Joshi、Diogo Kramel、Alessio Mastrucci、Florian Mazcek、Setu Pelz、Yoga Pratama、Holger Rogner、Jun Shepard、Juliana Arbelaez-Gaviria、Luca Casamassima、Jinfeng Chang、Matt Gidden、Adriana Gomez-Sanabria、Anders Hammer-Stromman、Yiyi Ju、Jarmo Kikstra、Younha Kim、Paul Natsuo Kishimoto、Marta Kozicka、Tamás Krisztin、David Leclère、Andrey Lessa Derci Augustynczik、Measrainsey Meng、Amanda Palazzo、Miguel Poblete、Leopold Ringwald、Sibylle Rouet-Pollakis、Pallav Purohit、Gamze Unlu、Adriano Vinca、Fabian Wagner、Wilfried Winiwarter、Xiuming Zhang、Michael Wögerer、Behnam Zakeri、Zbigniew Klimont、Shonali Pachauri、Petr Havlík、Bas van Ruijven、Keywan Riahi、Volker Krey低から負への排出経路（LN）はAIMにより開発主連絡先：Shinichiro Fujimori（[email protected]）、Osamu Nishiura（[email protected]）、Tomoko Hasegawa（[email protected]）モデリングチーム：Shotaro Mori、Ken Oshiro、Koga Yamazaki、Ryo Totake、Diego Silva、Kiyoshi Takahashi非常に低い排出経路（VL）はREMIND-MAGPIEにより開発主連絡先：lmar Kriegler（[email protected]）、Gunnar Luderer（[email protected]）、Alexander Popp（[email protected]）モデリングチーム：Gabriel Abrahão、Nico Bauer、Lavinia Baumstark、Jan Philipp Dietrich、Florian Humpenöder、Laurin Köhler-Schindler、Fabrice Lécuyer、Leon Merfort、Jessica Strefler（PIK）大気汚染：Shaohui Zhang、Zbigniew Klimont（IIASA）までお問い合わせください。

AI 翻訳（deepseek-v4-flash）。 正確を期す場合は下の原文を参照してください。

This is a pre-release of the harmonized ScenarioMIP emissions data. Please refer to the Rules for data use and data sharing of the IAM ScenarioMIP Data at https://scenariomip.apps.ece.iiasa.ac.at. Harmonized Emissions of the IAM ScenarioMIP projections for CMIP7 ScenarioMIP-CMIP7 consists of alternative plausible futures including quantified emissions and land use projections. The primary objectives of ScenarioMIP are to: Facilitate integrated research leading to a better understanding of the physical climate system consequences of future scenarios and their impact on natural and social systems, including adaptation and mitigation considerations. Provide a basis for addressing targeted science questions about the climate effects of aspects of forcing relevant to scenario-based research. Provide a basis for various international efforts that target improved methods to quantify projection uncertainties based on multi-model ensembles. ScenarioMIP is part of the Coupled Model Intercomparison Project organised by the World Climate Research Programme, and integrates research across the climate science, integrated assessment modeling (IAM), mitigation, and impacts, adaptation and vulnerability (IAV) communities. Seven IAM teams participated in the scenario development process. Each scenario has been implemented with multiple IAMs, and a marker scenario was selected from the available model interpretations. The current pre-release comprises the harmonized emissions of the marker scenarios only. Harmonized emissions of additional non-marker quantifications will follow. This pre-release hosts limited data, with the publication of more data variables to follow. The available data are the emissions variables that have gone into the climate emulator MAGICC and its climate outcomes. The reported emissions variables are harmonized to CMIP7 historical emissions, and consistent with CMIP7 earth system model forcings: GHG concentrations and gridded emissions, as available on the Earth System Grid Federation (see input4MIPs: https://input4mips-cvs.readthedocs.io/en/latest/). For more information, please contact: Scientific Lead: Keywan Riahi (IIASA, [email protected]), Detlef van Vuuren (PBL, [email protected]) Emissions harmonization and infilling for CMIP7: Jarmo Kikstra (IIASA, [email protected]), Zebedee Nicholls (Climate Resource, IIASA, Uni Melbourne, [email protected]) ScenarioMIP IAM marker teams: High Emissions Pathway (H) developed by GCAMMain contact: Mel George ([email protected])Modeling team: Christoph J. Bertram ([email protected]), Andrew G. Miller, Xin Zhao, Claudia Rodes Bachs, Jay Fuhrman, Rachel Hoesly, Haewon C. McJeon, Brian O'Neill, Yang Ou, Jon Sampedro, Steven J. Smith, Dirk-Jan Van de Ven, Matt Gidden, Ryna Cui (CGS-UMD [Center for Global Sustainability, School of Public Policy, University of Maryland, College Park, Maryland, USA], KAIST, BC3, Peking University) High-to-Low Emissions Pathway (HL) developed by WITCHMain contact: Laurent Drouet ([email protected])Modeling team: Lara Aleluia Reis, Marco Gambarini, Cindy Azuero, Massimo Tavoni (CMCC). Specific contributors: Pietro Andreoni (non-CO2, Politecnico di Milano), Nicolas Schlegel (optimization, CMCC), Stefan Frank and Yazhen Wu (GLOBIOM, IIASA) Medium Emissions Pathway (M) developed by IMAGEMain contact: Detlef van Vuuren ([email protected])Modeling team: Vassilis Daioglou, Isabela Tagomori, Harmen-Sytze de Boer, Mathijs Harmsen, Ioannis Dafnomilis, Elena Hooijschuur, Maarten van den Berg, Rik van Heerden, Mark Dekker, Jonathan Doelman, Elke Stehfest, Astrid Bos, Willem-Jan van Zeist, Hermen Luchtenbelt (PBL) Medium-to-Low Emissions Pathway (ML) developed by COFFEEMain contact: Roberto Schaeffer ([email protected]), Luiz Bernardo Baptista ([email protected]), Gerd Angelkorte ([email protected])Modeling team: Pedro Rochedo, Luis Felipe Sivolella, Rebecca Draeger, Pedro Maia, Huang Ken Wei and Alexandre Szklo (COPPE) Low Emissions Pathway (L) developed by MESSAGE-GLOBIOM-GAINSMain contact: Oliver Fricko ([email protected]), Yazhen Wu ([email protected]), Shaohui Zhang ([email protected])Modelling Team: Oliver Fricko, Yazhen Wu, Shaohui Zhang, Stefan Frank, Mykola Gusti, Lena Höglund-Isaksson, Aneeque Javid, Siddarth Joshi, Diogo Kramel, Alessio Mastrucci, Florian Mazcek, Setu Pelz, Yoga Pratama, Holger Rogner, Jun Shepard, Juliana Arbelaez-Gaviria, Luca Casamassima, Jinfeng Chang, Matt Gidden, Adriana Gomez-Sanabria, Anders Hammer-Stromman, Yiyi Ju, Jarmo Kikstra, Younha Kim, Paul Natsuo Kishimoto, Marta Kozicka, Tamás Krisztin, David Leclère, Andrey Lessa Derci Augustynczik, Measrainsey Meng, Amanda Palazzo, Miguel Poblete, Leopold Ringwald, Sibylle Rouet-Pollakis, Pallav Purohit, Gamze Unlu, Adriano Vinca, Fabian Wagner, Wilfried Winiwarter, Xiuming Zhang, Michael Wögerer, Behnam Zakeri, Zbigniew Klimont, Shonali Pachauri, Petr Havlík, Bas van Ruijven, Keywan Riahi, Volker Krey Low-to-Negative Emissions Pathway (LN) developed by AIMMain contact: Shinichiro Fujimori ([email protected]), Osamu Nishiura ([email protected]), Tomoko Hasegawa ([email protected])Modeling team: Shotaro Mori, Ken Oshiro, Koga Yamazaki, Ryo Totake, Diego Silva, Kiyoshi Takahashi Very Low Emissions Pathway (VL) developed by REMIND-MAGPIEMain contact: lmar Kriegler ([email protected]), Gunnar Luderer ([email protected]), Alexander Popp ([email protected])Modeling team: Gabriel Abrahão, Nico Bauer, Lavinia Baumstark, Jan Philipp Dietrich, Florian Humpenöder, Laurin Köhler-Schindler, Fabrice Lécuyer, Leon Merfort, Jessica Strefler (PIK) Air pollution: please contact Shaohui Zhang, Zbigniew Klimont (IIASA)

• openalex https://doi.org/10.5281/zenodo.18497403first seen 2026-05-29 05:06:10 · last seen 2026-06-17 09:17:14