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Starts 8 June 2025 10:15
Ends 8 June 2025
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What Makes a Model a Digital Twin? An Atmospheric Science-based Perspective
Explore the distinction between traditional models and digital twins in atmospheric science, examining defining characteristics and applications that transcend specific domains into generalizable principles.
KISSCaltech
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KISSCaltech
2544 Courses
51 minutes
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Overview
Explore the distinction between traditional models and digital twins in atmospheric science, examining defining characteristics and applications that transcend specific domains into generalizable principles.
Syllabus
- Introduction to Digital Twins
- Fundamental Characteristics of Digital Twins
- Components of Atmospheric Science Digital Twins
- Design and Implementation Challenges
- Case Studies in Atmospheric Science
- Transdisciplinary Applications
- Future of Digital Twins in Atmospheric Science
- Course Summary and Key Takeaways
Definition and origin of digital twins
Traditional models vs. digital twins
The role of digital twins in atmospheric science
Real-time data integration
Continuous updating and validation
Interactivity and simulation capabilities
Data sources and sensors
Computational models and algorithms
Visualization and user interfaces
Data quality and integration
Scalability and computational demands
Privacy and security considerations
Weather forecasting and climate modeling
Air quality monitoring and predictions
Disaster management and response
Principles applicable across domains
Transferable insights and methodologies
Collaboration across scientific fields
Emerging trends and technologies
Opportunities for innovation
Implications for research and policy
Recap of critical concepts and definitions
Practical applications and future directions
Final discussion and Q&A session
Subjects
Data Science
