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
Mosnier C, Britz W, Julliere T, De Cara S, Jayet P-A, Havlik P, Frank S ORCID: https://orcid.org/0000-0001-5702-8547, & Mosnier A (2019). Greenhouse gas abatement strategies and costs in French dairy production. Journal of Cleaner Production 236: e117589. DOI:10.1016/j.jclepro.2019.07.064.
Bischiniotis K, van den Hurk B, Coughlan de Perez E, Veldkamp T, Nobre G, & Aerts J (2019). Assessing time, cost and quality trade-offs in forecast-based action for floods. International Journal of Disaster Risk Reduction 40: e101252. DOI:10.1016/j.ijdrr.2019.101252.
Heino M ORCID: https://orcid.org/0000-0003-2928-3940, Godø OR, & Dieckmann U ORCID: https://orcid.org/0000-0001-7089-0393 (2019). The generalization of Gulland’s method: how to estimate maturity ogives when juvenile data are missing while spawner demography is known. Fisheries Research 219: e105265.
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