EC4MACS - An integrated assessment toolbox of well-established modeling tools to explore the synergies and interactions between climate change, air quality and other policy objectives

Nguyen B, Wagner F, & Schoepp W (2012). EC4MACS - An integrated assessment toolbox of well-established modeling tools to explore the synergies and interactions between climate change, air quality and other policy objectives. In: ICT as Key Technology against Global Warming. Eds. Auweter, A., pp. 94-108 Berlin/Heidelberg: Springer. DOI:10.1007/978-3-642-32606-6_8.

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Abstract

EC4MACS (European Consortium for Modelling of Air Pollution and Climate Strategies establishes a suite of modelling tools for a comprehensive integrated assessment of the effectiveness of emission control strategies for air pollutants and greenhouse gases. This assessment brought together expert knowledge in the fields of energy, transport, agriculture, forestry, land use, atmospheric dispersion, health and vegetation impacts, and it developed a coherent outlook into the future options to reduce atmospheric pollution in Europe. In this paper, first we introduce background to the EC4MACS framework, which links well-established sectoral models of the most relevant policy areas. In this context, an ETL package is used to gather extracted information from multiple model data sources. The integrated data are loaded into the GAINS (Greenhouse gas-Air pollution Interactions and Synergies) Data Warehouse. Afterwards, a web service based toolbox is developed to publish EC4MACS key data, which are represented in this paper in terms of case studies.

Item Type: Book Section
Uncontrolled Keywords: EC4MACS; Data warehouse; ETL (Extraction - Transformation - and Loading process); Web services; Integrated Assessment Model; GHG (greenhouse gas) emissions; pollutant
Research Programs: Mitigation of Air Pollution (MAG)
Air Quality & Greenhouse Gases (AIR)
Bibliographic Reference: In: A. Auweter et al. (Eds); ICT as Key Technology against Global Warming; Springer Berlin Heidelberg pp.94-108
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:47
Last Modified: 04 Apr 2016 10:18
URI: http://pure.iiasa.ac.at/10078

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