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The concept of nexus thinking has gained traction amongst the applied research community to examine cross-sector linkages between land, water, and energy strategies. A nexus approach identifies the interactions among sectors to better understand the synergies and trade-offs involved in meeting future resource demands in a sustainable way.

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). 

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. 

The IPCC AR5 Scenarios Database documents the long-term scenarios as reviewed in the Fifth Assessment Report (AR5) of Working Group III of the Intergovernmental Panel on Climate Change (IPCC).

A database of greenhouse gas emission mitigation scenarios.

An exploratory research and resulting scenario about how far transformative changes on the energy end-use side can lead to.

A database with scenarios from the integrated assessment community to expedite climate change assessments.

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.

The Global Energy Assessment (GEA) Scenario database documents results and assumptions of the GEA energy transformation pathways that underpin the GEA. The database serves as a central data repository for the dissemination of GEA scenario information.

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.

An interactive Web-based scenario analysis tool which allows the assessment of multiple energy access policies.

An interactive Web-based scenario analysis tool which allows the concurrent assessment of multiple energy objectives.

This Scenario Explorer presents an ensemble of quantitative, model-based pathways underpinning the Sixth Assessment Report (AR6) of Working Group III by the Intergovernmental Panel on Climate Change (IPCC), entitled Climate Change 2022: Mitigation of Climate Change.

The Horizon 2020 project ENGAGE quantifies avoided climate change impacts through analysis of the exposure and associated costs for individual sectors and regions to climate change at different levels of and timing for global peak temperature. A particular focus is placed on quantifying the benefits (or trade-offs) of climate policies on biodiversity, food, poverty, water, air quality, health, and employment, particularly for vulnerable populations.

IIASA researchers teamed up with NGFS to publish an updated set of climate scenarios to assess future climate-related risks and influence sustainability goals.

A historical database of energy use by country or region, energy level, sector, energy carrier, and end-use type.

The Energy and Carbon Emissions Inventory Database (ECDB) compares major global inventories of primary energy use and carbon emissions.

The SD-ET analysis provides a novel methodological framework of using observed historical patterns of technological change to test the plausibility of future scenarios of technological change to meet climate change mitigation goals.

MAGICC is a reduced complexity Earth system model that has been widely used in climate science for over three decades, most notably in multiple IPCC reports. It is most often used in a probabilistic setup, providing information not only about our best-estimate of future climate change but also the uncertainty that arises from interactions between the Earth system’s many components. MAGICC is also as the climate component in multiple integrated assessment models (IAMs). 

This high-resolution electrification dataset for Sub-Saharan Africa is developed at the Energy Program of the International Institute for Applied Systems Analysis (IIASA) in cooperation with the Fondazione Eni Enrico Mattei (FEEM).