title: The Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP): project framework.
abstract: The Inter-Sectoral Impact Model Intercomparison Project offers a framework to compare climate impact projections in different sectors and at different scales. Consistent climate and socio-economic input data provide the basis for a cross-sectoral integration of impact projections. The project is designed to enable quantitative synthesis of climate change impacts at different levels of global warming. This report briefly outlines the objectives and framework of the first, fast-tracked phase of Inter-Sectoral Impact Model Intercomparison Project, based on global impact models, and provides an overview of the participating models, input data, and scenario set-up.
authors.affiliation: Potsdam Institute for Climate Impact Research, 14412 Potsdam, Germany.
authors.forename: Lila
authors.initials: L
authors.lastname: Warszawski
authors.forename: Katja
authors.initials: K
authors.lastname: Frieler
authors.forename: Veronika
authors.initials: V
authors.lastname: Huber
authors.forename: Franziska
authors.initials: F
authors.lastname: Piontek
authors.forename: Olivia
authors.initials: O
authors.lastname: Serdeczny
authors.forename: Jacob
authors.initials: J
authors.lastname: Schewe
mesh_terms: D000383:Agriculture / Q000706:statistics & numerical data; D001272:Atmosphere / Q000032:analysis*; D058448:Biota; D002245:Carbon Dioxide / Q000032:analysis*; D057231:Climate Change / Q000706:statistics & numerical data*; D004777:Environment; D005544:Forecasting / Q000379:methods*; D006801:Humans; D008288:Malaria / Q000453:epidemiology; D008962:Models, Theoretical; D012959:Socioeconomic Factors; D013696:Temperature; D014881:Water Supply / Q000706:statistics & numerical data
chemical_list: D002245:Carbon Dioxide
keywords: climate data; multi-sector