YoVDO

Climate Dynamics and Predictability: Insights from Simple Models - 2017 Fall Meeting Lorenz Lecture

Offered By: AGU via YouTube

Tags

Geophysics Courses Data Analysis Courses Complex Systems Courses Stress Analysis Courses Theoretical Physics Courses Scaling Laws Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the Lorenz Lecture from the 2017 AGU Fall Meeting, delivered by William Klein of Boston University. Delve into the importance of simple models in understanding complex systems, focusing on blocks and springs, residual stress, and the Awami Christensen Model. Examine properties, data analysis, and data collapse techniques while investigating Gutenberg-Richter scaling and fault behavior. Gain insights into the implications of these concepts and participate in a thought-provoking Q&A session in this 51-minute conference talk that bridges theoretical physics with practical applications in geophysics.

Syllabus

Intro
John Rendell
Outline
Why Simple Models
Blocks and Springs
Residual Stress
Awami Christensen Model
Properties
Model
Data
Data Collapse
Gutenberg Richter Scaling
Faults
Summary
Implications
Questions


Taught by

AGU

Related Courses

Introduction to Agent-based Modeling with NetLogo
Coursera Project Network via Coursera
Analysing Complexity
Macquarie University via Coursera
Introduction to Complexity Science
Nanyang Technological University via Coursera
Journal Club
Santa Fe Institute via Complexity Explorer
Complexity-GAINs Curriculum
Santa Fe Institute via Complexity Explorer