Climate change and extreme values analysis
This activity was selected for the Teaching Computation in the Sciences Using MATLAB Exemplary Teaching Collection
Resources in this collection a) must have scored Exemplary or Very Good in all five review categories, and must also rate as “Exemplary” in at least three of the five categories. The five categories included in the peer review process are
- Computational, Quantitative, and Scientific Accuracy
- Alignment of Learning Goals, Activities, and Assessments
- Pedagogic Effectiveness
- Robustness (usability and dependability of all components)
- Completeness of the ActivitySheet web page
For more information about the peer review process itself, please see https://serc.carleton.edu/teaching_computation/materials/activity_review.html.
This page first made public: Jul 30, 2018
Context for Use
This activity is designed for the public who wants to learn how to be critical with climate data analysis and for the students who are working on data analysis, at any academic level (undergraduate or graduate). Students with limited coding experiences will be able to successfully complete this activity since it involves more thinking than coding. However basic experience in Matlab syntax is preferred. Basic knowledge of data analysis is also preferred but not required.
Description and Teaching Materials
Uploaded as "Teaching Material"
MartinezPorposal (Acrobat (PDF) 86kB Aug2 18)
MartinezData (Text File 27kB Aug2 18)
MartinezCode (Matlab File 6kB Aug2 18)
MartinezHandout (Acrobat (PDF) 449kB Aug2 18)
Teaching Notes and Tips
References and Resources
AghaKouchak A., Easterling D., Hsu K., Schubert S., Sorooshian S. (eds.), 2012, Extremes in a Changing Climate, Springer, ISBN 978-94-007-4478-3
AghaKouchak A., Sellars S., Sorooshian S., Methods of Tail Dependence Estimation, in Extremes in a Changing Climate (eds. AghaKouchak A., Easterling D., Hsu K., Schubert S. and Sorooshian S.), Springer, ISBN 978-94-007-4478-3.
NOAA - Climate at Glance: https://www.ncdc.noaa.gov/cag/global/time-series