We help governments, multinational organisations, businesses, and communities understand risks and opportunities as the world decarbonises and responds to climate change.
Our models and data are widely used by the global science community and Intergovernmental Panel on Climate Change processes. We use these to provide clear, trustworthy insights - supporting action on climate change from the global stage to the local level.
From past emissions to future solutions, we work across the entire chain of climate analysis data and models.
Historical emissions
Emissions projections
Sectoral decarbonisation pathways
Assessment of warming implications
Earth System Model evaluation
Earth System Model input datasets
Regional climate impacts
We project the temperature rise that results from emissions and energy-transition scenarios using MAGICC, one of the world’s most widely used and respected reduced-complexity climate models. MAGICC has supported climate science and policy for more than 30 years and has been used throughout assessment processes of the Intergovernmental Panel on Climate Change, including the Sixth Assessment Report.
Our staff have been the core developers of MAGICC since 2004. We support multilateral institutions, advisory firms and other organisations to assess the warming implications of their emissions pathways.
We produce high-resolution regional climate impact projections, including for temperature, precipitation and sea level rise, to support physical climate risk analysis. Using the best available science, we estimate impacts at the warming levels and spatial scales most relevant to our clients and collaborators.
We derive transition pathways for energy and energy-intensive sectors globally and for major emitters. Drawing on scenarios developed by the global science community and by sectoral and country specialists, we show the pace and scale of change for energy sources such as coal, gas, solar and wind, and for key industries including steel and cement.
Provided at the level of detail relevant to policy and investment decisions, our pathways illuminate how the physical economy must change to meet emissions targets and limit warming.
We produce authoritative, widely used emissions datasets for all countries, tracking historical emissions since 1750 and projecting trajectories to 2050 based on national targets. Our data underpins major international assessments, including the UNEP Emissions Gap Report, and is referenced in metrics used across the finance sector.
We synthesise results from global and country-specific modelling and help clients and collaborators access, use and understand the data, including how projections are changing and why.
We build and maintain some of the world’s most widely used climate models and datasets. We develop software interfaces and provide expert support so clients and collaborators can access, understand and apply these tools and insights in their work.
We play a leading role in parts of CMIP7, the global collaboration that brings together the world’s climate modelling centres to prepare the science underpinning upcoming assessments by the Intergovernmental Panel on Climate Change.
Our team develops datasets built from satellite and ground-based observations, and creates methods and software to rapidly evaluate and benchmark earth system models.
MAGICC is also linked with major economic and energy models, enabling consistent comparison of emissions and climate outcomes across scenarios.
We work with governments, providing modelling, data and expert advice to support policy development, sectoral decarbonisation, emissions budgets and the assessment of national targets and pathways.
We work with multilateral organisations, including the International Energy Agency and United Nations agencies. We provide software, data and advice to evaluate the warming implied by their scenarios, assess the implications of national pledges and long-term targets, and understand regional climate risks.
We work with researchers worldwide, including at the University of Melbourne and the International Institute for Applied Systems Analysis. Together we advance climate science through shared tools, reduced-complexity climate models, emissions and forcing datasets, and model comparison exercises.
We work with professional services and research companies to assess the temperature outcomes of the scenarios they explore. We provide emissions time series, regional climate impact data and sectoral decarbonisation pathways to support evaluation of transition and physical risk.
We work with civil society organisations and think tanks, providing independent, evidence-based analysis, data and tools to inform public debate, advocacy and accountability.
We work with financial institutions, providing data and advice on country emissions and future pathways. Our sectoral transition and regional impact datasets help investors assess exposure to transition and physical risks, including in the context of prudential reporting.