ScenarioMIP-CMIP7 IAM quantification: Harmonized and Infilled Emissions and Climate Outcomes for Marker Scenarios
Authors/Creators
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Kikstra, Jarmo1, 2
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Nicholls, Zebedee1
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Högner, Annika
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Zecchetto, Marco
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Köhler-Schindler, Laurin
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Kriegler, Elmar3, 4
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Fujimori, Shinichiro5
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Hasegawa, Tomoko
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Oliver, Fricko1
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Krey, Volker1, 6
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van Ruijven, Bas1
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Baptista, Luiz Bernardo
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Schaeffer, Roberto7
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Daioglou, Vassilis8
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Bertram, Christoph9, 4
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George, Mel10, 9
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O'Neill, Brian10
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Drouet, Laurent11, 12
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Aleluia Reis, Lara
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Huppmann, Daniel1
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Humpenöder, Florian4
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Popp, Alexander4
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Klimont, Zbigniew1
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Nishiura, Osamu
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Smith, Steven
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Harmsen, Mathijs13, 8
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Luderer, Gunnar14, 4
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van Vuuren, Detlef15, 8
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Riahi, Keywan1
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1.
International Institute for Applied Systems Analysis
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2.
Imperial College London
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3.
University of Potsdam
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4.
Potsdam Institute for Climate Impact Research
- 5. Kyoto Univresity
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6.
Norwegian University of Science and Technology
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7.
Universidade Federal do Rio de Janeiro
- 8. Utrecht University
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9.
University of Maryland, College Park
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10.
Pacific Northwest National Laboratory
- 11. Centro Euro-Mediterraneo sui Cambiamenti Climatici
- 12. Fondazione Eni Enrico Mattei
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13.
Netherlands Environmental Assessment Agency
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14.
Technische Universität Berlin
- 15. PBL Netherlands Environmental Assessment Agency
Description
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:
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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.
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Provide a basis for addressing targeted science questions about the climate effects of aspects of forcing relevant to scenario-based research.
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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:
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Scientific Lead: Keywan Riahi (IIASA, riahi@iiasa.ac.at), Detlef van Vuuren (PBL, Detlef.vanVuuren@pbl.nl)
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Emissions harmonization and infilling for CMIP7: Jarmo Kikstra (IIASA, kikstra@iiasa.ac.at), Zebedee Nicholls (Climate Resource, IIASA, Uni Melbourne, zebedee.nicholls@climate-resource.com)
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ScenarioMIP IAM marker teams:
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High Emissions Pathway (H) developed by GCAM
Main contact: Mel George (georgemv@umd.edu)
Modeling team: Christoph J. Bertram (bertram@umd.edu), 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 WITCH
Main contact: Laurent Drouet (laurent.drouet@cmcc.it)
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 IMAGE
Main contact: Detlef van Vuuren (detlef.vanvuuren@pbln.nl)
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 COFFEE
Main contact: Roberto Schaeffer (roberto@ppe.ufrj.br), Luiz Bernardo Baptista (luizbernardo@ppe.ufrj.br), Gerd Angelkorte (angelkorte@ppe.ufrj.br)
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-GAINS
Main contact: Oliver Fricko (fricko@iiasa.ac.at), Yazhen Wu (wuyazhen@iiasa.ac.at), Shaohui Zhang (shaohui.zhang@iiasa.ac.at)
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 AIM
Main contact: Shinichiro Fujimori (fujimori.shinichiro.8a@kyoto-u.ac.jp), Osamu Nishiura (nishiura.osamu@nies.go.jp), Tomoko Hasegawa (thase@fc.ritsumei.ac.jp)
Modeling team: Shotaro Mori, Ken Oshiro, Koga Yamazaki, Ryo Totake, Diego Silva, Kiyoshi Takahashi -
Very Low Emissions Pathway (VL) developed by REMIND-MAGPIE
Main contact: lmar Kriegler (kriegler@pik-potsdam.de), Gunnar Luderer (gunnar.luderer@pik-potsdam.de), Alexander Popp (popp@pik-potsdam.de)
Modeling team: Gabriel Abrahão, Nico Bauer, Lavinia Baumstark, Jan Philipp Dietrich, Florian Humpenöder, Laurin Köhler-Schindler, Fabrice Lécuyer, Leon Merfort, Jessica Strefler (PIK)
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- Air pollution: please contact Shaohui Zhang, Zbigniew Klimont (IIASA)