Transforming Climate Change Understanding: Harnessing The Power of Data and Machine Learning
摘要
In the evolving landscape of climate informatics, a novel discipline emerges, fostering a synergy between climate scientists and data scientists. The relationship aims to develop innovative tools that facilitate the analysis of complex and expanding datasets, both observed and simulated, ultimately connecting the fields of data and comprehension. The Earth’s climate system is experiencing unparalleled transformations, driven by anthropogenic factors such as the release of greenhouse gases and the loss of forests. The interplay of computational science and artificial intelligence emerges as a pivotal force in unravelling the intricacies of transformative shifts, guiding researchers toward the formulation of effective strategies for mitigation and adaptation. The advent of groundbreaking instruments has ushered in an era where profound examination, meticulous representation, and sharp foresight are attainable, revolutionizing the domain of climate science. This chapter explores into the multifaceted applications of computational science and artificial intelligence, probing deeper into their significant impacts on our understanding of climate change.