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1
Introduction
2
Selforganized complexity
3
Major steps forward
4
Predictability
5
Drainage Networks
6
Diffusion limited aggregation
7
Time series
8
Magnetic field
9
Power loss scaling
10
Lorentz equations
11
Global climate models
12
Semiconductors
13
Rivers
14
Selforganized criticality
15
Universal Statistical Distribution
16
Slider Block Models
17
Power Law Distribution
18
Gutenberg Richter
19
Hazard forecasts
20
Forest fire model
21
Baja California forest fires
Description:
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. Read more

Complexity and Self-Organization in Earth Systems - Lorenz Lecture 2002

AGU
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