全球智库信息集成服务系统(G2TT): A Methodology and Implementation of Automated Emissions Harmonization for Use in Integrated Assessment Models.

G2TT

来源类型	Article
规范类型	其他
DOI	10.1016/j.envsoft.2018.04.002
	A Methodology and Implementation of Automated Emissions Harmonization for Use in Integrated Assessment Models.
	Gidden M; Fujimori S; van den Berg M; Klein D; Smith SJ; van Vuuren D
发表日期	2018
出处	Environmental Modelling & Software 105: 187-200
出版年	2018
语种	英语
摘要	Emissions harmonization refers to the process used to match greenhouse gas (GHG) and air pollutant results from Integrated Assessment Models (IAMs) against a common source of historical emissions. To date, harmonization has been performed separately by individual modeling teams. For the hand-over of emission data for the Shared Socioeconomic Pathways (SSPs) to climate model groups, a new automated approach based on commonly agreed upon algorithms was developed. This work describes the novel methodology for determining such harmonization methods and an open-source Python software library implementing the methodology. A case study is presented for two example scenarios (with and without climate policy cases) using the IAM MESSAGE-GLOBIOM that satisfactorily harmonize over 96% of the total emissions trajectories while having a negligible effect on key long-term climate indicators. This new capability enhances the comparability across different models, increases transparency and robustness of results, and allows other teams to easily participate in intercomparison exercises by using the same, openly available harmonization mechanism
主题	Energy (ENE)
关键词	Integrated Assessment Models, Harmonization, Greenhouse Gases (GHGs), Air Pollution
URL	http://pure.iiasa.ac.at/id/eprint/15214/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/131345
推荐引用方式 GB/T 7714	Gidden M,Fujimori S,van den Berg M,et al. A Methodology and Implementation of Automated Emissions Harmonization for Use in Integrated Assessment Models.. 2018.