emIAM v1.0: an emulator for integrated assessment models using marginal abatement cost curves

Abstract. We developed an emulator for integrated assessment models (emIAM) based on a marginal abatement cost (MAC) curve approach. Drawing on the output of IAMs in the Exploring National and Global Actions to reduce Greenhouse gas Emissions (ENGAGE) Scenario Explorer and the GET model, we derived an extensive array of MAC curves, encompassing 10 IAMs, at the global and regional levels for 10 regions; three gases (CO2, CH4, and N2O); eight portfolios of available mitigation technologies; and two emission sources. We tested the performance of emIAM by coupling it with the simple climate model ACC2 (ACC2–emIAM). Our analysis showed that the optimizing climate–economy model ACC2–emIAM adequately reproduced a majority of the original IAM emission outcomes under similar conditions. This can facilitate systematic exploration of IAMs with small computational resources. emIAM holds the potential to enhance the capabilities of simple climate models as a tool for calculating cost-effective pathways directly aligned with temperature targets.

Authors

Institutions

Publication Details

Journal
Geoscientific model development
Published
2025-03-11
DOI
https://doi.org/10.5194/gmd-18-1575-2025
Citations
1
Primary Topic
Climate Change Policy and Economics
Type
article
Field-Weighted Citation Impact
3.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

emIAM v1.0: an emulator for integrated assessment models using marginal abatement cost curves

Katsumasa Tanaka, Mariliis Lehtveer, Daniel J. A. Johansson, Philippe Ciais et al.
1 citations
Geoscientific model development
Climate Change Policy and Economics
3.13
article

emIAM v1.0: an emulator for integrated assessment models using marginal abatement cost curves

Katsumasa Tanaka, Mariliis Lehtveer, Daniel J. A. Johansson, Philippe Ciais, Weiwei Xiong
article en
1 citations

Abstract

Abstract. We developed an emulator for integrated assessment models (emIAM) based on a marginal abatement cost (MAC) curve approach. Drawing on the output of IAMs in the Exploring National and Global Actions to reduce Greenhouse gas Emissions (ENGAGE) Scenario Explorer and the GET model, we derived an extensive array of MAC curves, encompassing 10 IAMs, at the global and regional levels for 10 regions; three gases (CO2, CH4, and N2O); eight portfolios of available mitigation technologies; and two emission sources. We tested the performance of emIAM by coupling it with the simple climate model ACC2 (ACC2–emIAM). Our analysis showed that the optimizing climate–economy model ACC2–emIAM adequately reproduced a majority of the original IAM emission outcomes under similar conditions. This can facilitate systematic exploration of IAMs with small computational resources. emIAM holds the potential to enhance the capabilities of simple climate models as a tool for calculating cost-effective pathways directly aligned with temperature targets.

Geoscientific model developmentVol. 18(5)
Centre National de la Recherche Scientifique (FR), Université de Versailles Saint-Quentin-en-Yvelines (FR), National Institute for Environmental Studies (JP), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), China University of Geosciences (CN), Laboratoire des Sciences du Climat et de l'Environnement (FR), CEA Paris-Saclay (FR), Chalmers University of Technology (SE)
Openalex Percentile: Top 10%
Climate Change Policy and Economics
3.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

emIAM v1.0: an emulator for integrated assessment models using marginal abatement cost curves — Katsumasa Tanaka, Mariliis Lehtveer, et al. · Geoscientific model development (2025) | TGRS Research Map | TGRS