Probabilistic climate projections

Many characteristics of the climate system are uncertain, but decent estimates of uncertainty ranges can be made, based on observations and modelling exercises. Based on collaborations with our research partners, our climate projections make use of this information to produce probabilistic climate projections (as opposed to just “best-estimate” projections), which helps designing strategies for mitigating future climate change and adapting to such changes under uncertainty.


This study, led by scientists from Climate Analytics, an international climate science and policy institute, is first to show that just half a degree of extra warming between 1.5°C and 2°C makes a big difference in terms of heat stress risk posed to Muslims carrying out religious rites in Saudi Arabia during summer, where the mercury frequently climbs over 45°C even now.  
The European Union‘s targets and policies are not yet compatible with the Paris Agreement’s 1.5°C limit. This report, the second country assessment in the Climate Action Tracker's Scaling Up Climate Action Series, analyses areas where the European Union could accelerate its climate action. The report illustrates GHG emissions reductions from such actions, along with other benefits.  
Integrated Assessment Models (IAMs) models are used to evaluate the technological and economic feasibility of climate goals such as the Paris Agreement’s long-term temperature goal to hold global warming well below 2˚C and pursue efforts to limit this warming to 1.5˚C above pre-industrial. The results of these models are assessed in Intergovernmental Panel on Climate Change (IPCC) reports, and play a central role in the IPCC Special Report “Global Warming of 1.5°C” (SR1.5). This briefing sets out some of the important context and caveats in relation to understanding IAMs and their results, particularly in relation to the Paris Agreement’s 1.5°C limit.  


The EU-funded project “Constraining uncertainty of multi-decadal climate projections” (CONSTRAIN) will address crucial knowledge gaps in climate science to significantly improve our understanding of how natural and human factors affect multi-decadal regional climate change. The project will deliver improved climate projections of policy relevance for the next 20 to 50 years, contributing to European research on fundamental climate system processes and climate variability.  
The ISIpedia project is an effort to bridge a gap between the modellers from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) studying the global and regional impacts of climate change on natural and human systems, and stakeholders who may need this knowledge to identify appropriate policies. By creating channels of cooperation between modellers and stakeholders, ISIpedia aims at facilitating the co-production and knowledge transfer of climate impact information. The end-product of ISIpedia will be a user-friendly, freely accessible online encyclopaedia for consistent impacts projections across sectors.  
This project is an extension of the PAS-PNA project in Benin, Senegal and Burkina Faso. In each country, Climate Analytics, together with the national Green Climate Fund (GCF) Accredited Entity, is conducting the pre-feasibility or feasibility studies for selected adaptation projects, providing governments with an evidence-base to support the development of GCF concept notes and funding proposals.  
Science and policy to assist and support SIDSs and LDCs to negotiate a strong international climate regime, enabling low carbon development and supporting adaptation needs.