Climate change challenges societal functioning, likely requiring considerable adaptation to cope with future altered weather patterns. Machine learning (ML) algorithms have advanced dramatically, triggering breakthroughs in other research sectors, and recently suggested as aiding climate. Although a considerable number of isolated Earth System features have been analysed with AI techniques, more generic application to understand better the full climate system has not occurred. For instance, AI may aid tele connection identification, where complex feedbacks make characterisation difficult from direct equation analysis or visualization of measurements and Earth System model (ESM) diagnostics.