Abstract

Earth science and artificial intelligence: best practices and fundamental issues give a thorough, step-by-step explanation of AI procedures for resolving Earth Science issues. The book focuses on the most difficult issues in applying AI to Earth system sciences, including training data preparation, model selection, hyper parameter tuning, model structure optimization, spatiotemporal generalization, converting model output into products, and describing trained models. Regardless of prior AI knowledge, it also offers full-stack workflow lessons to guide readers through the whole process. The book addresses the complexity of Earth system issues in AI engineering and provides complete guidance for geoscientists who intend to use AI in their everyday work.

Keywords: Artificial intelligence; Atmospheric; Earthquake;Electromagnetism; Petro physics