Weather and climate extremes pose challenges for adaptation and mitigation policies as well as disaster risk management, emphasizing the value of Climate Services in supporting strategic decision-making. Today Climate Services can benefit from an unprecedented availability of data, in particular from the Copernicus Climate Change Service, and from recent advances in Artificial Intelligence (AI) to exploit the full potential of these data. The main objective of CLINT is the development of an AI framework composed of Machine Learning (ML) techniques and algorithms to process big climate datasets for improving Climate Science in the detection, causation and attribution of Extreme Events, including tropical cyclones, heatwaves and warm nights, and extreme droughts, along with compound events and concurrent extremes. Specifically, the framework will support (1) the detection of spatial and temporal patterns, and evolutions of climatological fields associated with Extreme Events, (2) the validation of the physically based nature of causality discovered by ML algorithms, and (3) the attribution of past and future Extreme Events to emissions of greenhouse gases and other anthropogenic forcing. The framework will also cover the quantification of the Extreme Events impacts on a variety of socio-economic sectors under historical, forecasted and projected climate conditions by developing innovative and sectorial AI-enhanced Climate Services. These will be demonstrated across different spatial scales, from the pan European scale to support EU policies addressing the Water-Energy-Food Nexus to the local scale in three types of Climate Change Hotspots. Finally, these services will be operationalized into Web Processing Services, according to most advanced open data and software standards by Climate Services Information Systems, and into a Demonstrator to facilitate the uptake of project results by public and private entities for research and Climate Services development.

Recent studies from the IPCC indicate that Europe is particularly prone to increased risks of river and coastal floods, droughts resulting in water restrictions and damages from extreme weather such as heat events and wildfires. Evaluations also show a huge potential to reduce these risks with novel adaptation strategies. Researchers, innovators and incubators develop innovative products and services to reduce the increased climate change risks. Many of these innovations however hardly arrive at the markets. BRIGAID BRIdges the GAp for Innovations in Disaster resilience. BRIGAID's approach is supported by three pillars. (1) At first BRIGAID takes into account the geographical variability of climate-related hazards and their interaction with socio-economic changes, (2) BRIGAID establishes structural, on-going support for innovations that are ready for validation in field tests and real life demonstrations and (3) BRIGAID develops a framework that enables an independent, scientific judgement of the socio-technological effectiveness of an innovation. BRIGAID's objective is ambitious but achievable with strong consortium partners in EU, two Associated Countries and support from Overseas Territories. BRIGAID (a) brings actively together innovators and end-users in Communities of Innovation, resulting in increased opportunities for market-uptake; (b) contributes to the development of a technological and performance standards for adaptation options by providing a Test and Implementation Framework (TIF) and test facilities throughout Europe; (c) Improves innovation capacity and the integration of new knowledge by establishing an innovators network and (d) strengthens the competitiveness and growth of companies with the support of a dedicated business team. Finally BRIGAID develops a business models and market outreach to launch innovations to the market and secure investments in innovations beyond BRIGAID’s lifetime.