ESS 403 Global Tectonics

2012

 
 

For over 50 years Plate Tectonics has been the conceptual framework for understanding how Earth works.  Once considered “revolutionary” and controversial, it is now firmly entrenched as the orthodoxy and permeates all discussions of Earth’s evolution and the underlying processes. 


In this course we will examine how geophysical tools are used to probe Earth’s interior.  These include seismology, gravity, magnetics, geodesy, and heat flow.  Interpretations of global processes, based on the geophysical observations, are considered.  You will explore classic and contemporary data sets that provide support (and stimulate new questions ) for the concepts of plate tectonics.   Furthermore, you will investigate observations in the Pacific Northwest that provide new insight in the structure and dynamics of the Cascadia Subduction complex. Issues of uncertainty and non-uniqueness of models are also be considered.


Improving communication skills (oral and written) is an additional focus of this class.  The required weekly technical reports serve to better prepare all students for employment or further graduate education.


This is a demanding 5 credit 400-level course that assumes upper division “critical thinking” and quantitative skills.  A senior ESS major should be adequately prepared.  However, you will be challenged to improve conceptual understandings, quantitative skills,  oral and written communication abilities, and computer skills.  You will use MATLAB to manipulate, analyze, and make figures. You will use large internet accessible data bases to obtain data to analyze.

Introduction

Learning Goals

    (science and technical)


  1. 1.Develop an understanding of geophysical tools, including seismology, gravity, magnetics, heat flow, and geodesy.

  2. 2.Develop an understanding of how geophysical observations are used to elucidate large scale Earth processes

  3. 3. Be able to link Earth processes to an understanding of how Earth evolves

  4. 4.Be able to clearly express technical information in concise reports.

  5. 5.Improve computer skills in working with quantitative information and data bases

  6. 6.Understand basics of observational uncertainties and the propagation of errors

  7. 7.Be able to differentiate forward and inverse models and articulate issues associated with non-uniqueness