Integration of models for low carbon economy

G.F. Belete, A. Voinov

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
24 Downloads (Pure)

Abstract

Designing the transition to low carbon economy is a very complex task that touches upon a wide variety of climate-energy-economic systems. We need to explore the various possible climate mitigation scenarios at different temporal and spatial scales. However, due to the diversity of the involved disciplines it is difficult to find one complete and unified modeling approach that works equally well in all those different domains. As a result we have to select 'appropriate' models, which represent only specific aspects of the scenarios and assemble them 'coherently'. In this research we have identified some challenges in integrating multidisciplinary models; and have developed a conceptual design for a multidisciplinary model integration framework that can harmonize the technical, semantic, and dataset aspects of interoperability.
Original languageEnglish
Title of host publicationBold visions for environmental modelling
Subtitle of host publicationproceedings of the 7th international congress on environmental modelling and software (iEMSs)
EditorsD.P. Ames, N.W.T. Quinn, A.E. Rizzoli
PublisherInternational Environmental Modelling and Software Society (iEMSs)
Pages1897-1904
Number of pages8
ISBN (Print)978-88-9035-744-2
Publication statusPublished - 2014
Event7th International Congress on Environmental Modelling and Software, iEMSs 2014: Bold visions for environmental modelling - San Diego, United States
Duration: 15 Jun 201419 Jun 2014
Conference number: 7
https://scholarsarchive.byu.edu/iemssconference/2014/

Conference

Conference7th International Congress on Environmental Modelling and Software, iEMSs 2014
Country/TerritoryUnited States
CitySan Diego
Period15/06/1419/06/14
Internet address

Keywords

  • METIS-308893

Fingerprint

Dive into the research topics of 'Integration of models for low carbon economy'. Together they form a unique fingerprint.

Cite this