What Makes a Model a Digital Twin? An Atmospheric Science-based Perspective

This 51-minute presentation explores the fundamental question of what distinguishes a digital twin from a traditional model, examining their evolution and defining characteristics. Delve into how digital twins have emerged as powerful tools in the AI/ML era despite being conceptualized over three decades ago. Understand the hundreds of applications and various definitions that have accompanied their recent rise to prominence. Through the lens of atmospheric modeling and urban infrastructure applications, discover generalizable principles that transcend specific domains. Learn about the key attributes that define digital twins and how they differ from conventional modeling approaches that have traditionally served as the backbone of knowledge representation and scenario development. For those interested in computational modeling, artificial intelligence, or atmospheric science, this talk from KISSCaltech provides valuable insights into an increasingly important technological paradigm.