Climate-related disinformation undermines public trust, fuels polarisation, and erodes support for policies despite clear scientific consensus. Advances in generative AI and recommendation algorithms make disinformation faster, cheaper, and harder to detect, while fragmenting narratives across languages and cultures. Detection is often reactive, monolingual, and limited to a few platforms, and impact measurement relies on simplistic metrics that equate attention with harm. Existing countermeasures are rarely embedded in real-world communication, education, or policymaking contexts. AURORA CC addresses these gaps by combining AI, social sciences, and community engagement to measure and counter climate disinformation. The project has four integrated objectives: (1) Curate – build a multilingual Climate Knowledge Graph linking scientific evidence to contested policy claims, with accessible outputs for citizens, educators, journalists, and policymakers; (2) Detect – develop an open, multimodal detection architecture that monitors misleading text, images, video, and audio across news, social media, LLM outputs, and Wikipedia, integrating explainable AI and early warning capabilities; (3) Assess – create a 4 Level Damage Assessment Framework to quantify cognitive, behavioural, societal, and policy impacts using causal inference, modelling, and experiments; (4) Empower – co design and deploy proactive interventions in communications, grassroots action, and education, piloted across European countries and sectors. By integrating technical innovation with behavioral insight and participatory design, AURORA CC sets the foundation for an anticipatory, multilingual, identity-aware infrastructure to detect, assess, and counter climate disinformation, strengthening trust in climate science, improving societal resilience, and supporting responsible climate action. The project brings together 13 partners from research, NGOs, universities, SMEs, and media organizations.