The Role of Artificial Intelligence in Climate Change Visualisation

Abstract

   The visualisation of climate change impacts plays a crucial role in understanding the complexities of this global challenge, informing decision-making, and catalysing action. This research paper explores the pivotal role of Artificial Intelligence (AI) in climate change visualisation, presenting an in-depth analysis of AI techniques and methodologies for processing, analysing, and visualising climate-related data. The paper examines the applications of AI-driven predictive modelling, image recognition, computer vision, and interactive visualisation in addressing key climate change challenges, such as sea-level rise prediction, deforestation monitoring, urban heat mapping, and extreme weather forecasting. Through a comprehensive review of case studies and applications, the paper highlights the transformative potential of AI in enhancing climate change communication, stakeholder engagement, and decision support. Furthermore, the paper discusses the challenges and ethical considerations associated with AI-driven climate change visualisation, including data quality, algorithmic bias, interdisciplinary collaboration, and continued innovation. By synthesising current research findings and future directions, the paper provides valuable insight into the opportunities and challenges of leveraging AI for climate action and sustainable development.

Keywords: Artificial Intelligence, Climate Change, Extreme Weather Forecasting, Image                    Recognition, Sustainable Development.