The AMPERE database, operated by IIASA for the AMPERE consortium, hosts the model results for work packages 2, 3, and 5, as well as the results from the model diagnostics project. AMPERE scenario data were used in a series of research papers, which were published in a special issue of Technological Forecasting and Social Change as well as other journals. In addition, the results were used in the 5th Assessment Report of Working Group III of the IPCC. More
The LIMITS Scenario database, operated by IIASA for the LIMITS consortium, hosts the results of the LIMITS modeling comparison exercise. The LIMITS project aims at advancing the understanding of the implementation of climate policies consistent with 2 degree Celsius. The main objective of the project is to provide an assessment of the emissions reductions strategies at the level of the world and the major global economies. More
The world food system model comprises a series of national and regional agricultural economic models. It provides a framework for analyzing the world food system, viewing national food and agricultural components as embedded in national economies, which in turn interact with each other at the international trade level. More
Last edited: 02 May 2016
21 Nov 2019 - 22 Nov 2019
Willaarts B, Lechón Y, Mayor B, de la Rúa C, & Garrido A (2020). Cross-sectoral implications of the implementation of irrigation water use efficiency policies in Spain: A nexus footprint approach. Ecological Indicators 109: no.105795. DOI:10.1016/j.ecolind.2019.105795.
Nielson SN, Fath B ORCID: https://orcid.org/0000-0001-9440-6842, Bastianoni S, Marques JC, Müller F, Patten BC, Ulanowicz RE, Jørgensen SE, et al. (2020). A New Ecology: Systems Perspective, Second Edition. Elsevier. ISBN 978-0-444-63757-4 DOI:10.1016/C2015-0-01948-7.
Wang M, Tang T ORCID: https://orcid.org/0000-0002-2867-9241, Burek P ORCID: https://orcid.org/0000-0001-6390-8487, Havlik P, Krisztin T, Kroeze C, Leclere D, Strokal M, et al. (2019). Increasing nitrogen export to sea: A scenario analysis for the Indus River. Science of the Total Environment 694: e133629. DOI:10.1016/j.scitotenv.2019.133629.
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