Identifying Climate Analogues Using Scalable Data Techniques

Explore 'Climate Twin Search,' a tool designed to identify historical climate analogues for locations like Paris in 2024. Motivated by the need to understand unprecedented climates caused by climate change, it leverages scalable computing techniques to tackle challenges in comparing extensive datasets. This aids in adaptation planning and visualizing climate trajectories, addressing the central research question of locating historical climate parallels for contemporary climates.