Overview
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Explore the groundbreaking Lorenz Lecture delivered by Donald L. Turcotte at the 2002 AGU Fall Meeting. Delve into the fascinating world of self-organized complexity and its applications across various scientific disciplines. Examine major advancements in predictability, drainage networks, and diffusion-limited aggregation. Investigate time series analysis, magnetic field dynamics, and power loss scaling. Uncover the intricacies of Lorentz equations and their relevance to global climate models. Discover the connections between semiconductors, rivers, and self-organized criticality. Learn about universal statistical distributions and their significance in slider block models and power law distributions. Analyze the Gutenberg-Richter relationship and its implications for hazard forecasts. Explore the forest fire model and its application to Baja California forest fires. Despite potential rendering issues due to the age of the original file, this 49-minute lecture offers valuable insights into complex systems and their far-reaching implications in geophysics and beyond.
Syllabus
Introduction
Selforganized complexity
Major steps forward
Predictability
Drainage Networks
Diffusion limited aggregation
Time series
Magnetic field
Power loss scaling
Lorentz equations
Global climate models
Semiconductors
Rivers
Selforganized criticality
Universal Statistical Distribution
Slider Block Models
Power Law Distribution
Gutenberg Richter
Hazard forecasts
Forest fire model
Baja California forest fires
Taught by
AGU