The Network for Greening the Financial System (NGFS) is a group of 65 central banks and supervisors and 12 observers committed to sharing best practices, contributing to the development of climate– and environment–related risk management in the financial sector and mobilizing mainstream finance to support the transition toward a sustainable economy. More
This Scenario Explorer presents an ensemble of quantitative, model-based climate change mitigation pathways underpinning the Special Report on Global Warming of 1.5°C (SR15) by the Intergovernmental Panel on Climate Change (IPCC) published in 2018. The ensemble was also used and extended in the IPCC's Special Report on Climate Change and Land (SRCCL, 2019). Scenario Explorer More
The CD-LINKS consortium has developed a set of consistent national and global low-carbon development pathways that take current national policies and the Nationally Determined Contributions (NDCs) as an entry point for short-term climate action and then transition to long-term goals of 1.5 and 2°C as defined by the Paris Agreement. More
The Shared Socioeconomic Pathways (SSPs) will be used alongside the Representative Concentration Pathways (RCPs) to analyze the feedbacks between climate change and socioeconomic factors, such as world population growth, economic development and technological progress. IIASA began work in 2011 on quantifying one of the five SSPs. The Energy Program has spearheaded the cross-program collaboration with the Population and Ecosystem Services Management programs. 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 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
Last edited: 25 June 2020
Hunt, J. , Zakeri, B. , Leal Filho, W., Schneider, P.S., de Assis Brasil Weber, N., Vieira, L.W., Ermel, C., de Castro, N.J., et al. (2021). Swimming pool thermal energy storage, an alternative for distributed cooling energy storage. Energy Conversion and Management 230, E113796. 10.1016/j.enconman.2020.113796.
Vieira, L.W., Marques, A.D., Schneider, P.S., José da Silva Neto, A., Viana, F.A.C., Abdel-jawad, M., Hunt, J. , & Siluk, J.C.M. (2020). Methodology for ranking controllable parameters to enhance operation of a steam generator with a combined Artificial Neural Network and Design of Experiments approach. Energy and AI, e100040. 10.1016/j.egyai.2020.100040. (In Press)
Jie, D., Xu, X., & Guo, F. (2020). The future of coal supply in China based on non-fossil energy development and carbon price strategies. Energy, e119644. 10.1016/j.energy.2020.119644. (In Press)
Awais, M., Parkinson, S., Zakeri, B. , McPherson, M., & Riahi, K. (2020). Leveraging new open-source modelling tools to rapidly prototype pathways for achieving SDG7 and mid-century climate targets in Pakistan. In: AGU Fall Meeting, 11-17 December 2018.
Vinca, A. , Parkinson, S., Riahi, K. , Byers, E. , Siddiqi, A., Muhammad, A., Ilyas, A., Yogeswaran, N., et al. (2020). Transboundary cooperation a potential route to sustainable development in the Indus basin. Nature Sustainability 10.1038/s41893-020-00654-7.
Smith, S.J., Klimont, Z. , Drouet, L., Harmsen, M., Luderer, G., Riahi, K. , van Vuuren, D.P., & Weyant, J.P. (2020). The Energy Modeling Forum (EMF)-30 study on short-lived climate forcers: introduction and overview. Climatic Change 163 (3), 1399-1408. 10.1007/s10584-020-02938-5.
McKenna, C.M., Maycock, A.C., Forster, P.M., Smith, C., & Tokarska, K.B. (2020). Stringent mitigation substantially reduces risk of unprecedented near-term warming rates. Nature Climate Change 10.1038/s41558-020-00957-9. (In Press)
International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313