Preparing data for climate change analysis using MATLAB
The principal obective of this activity is to be critical when using data and be able to quickly indentify a dataset with low consistency. In this activity, the student will learn
- to inspect different key characteristics of a dataset (space uniformity, time variation).
- different strategies data providers are using for filling missing data and how to reveal them.
Context for Use
This activity is designed for the people 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
Proposal (Acrobat (PDF) 88kB Aug19 19)
Handout (Acrobat (PDF) 551kB Aug19 19)
dataset (Matlab .MAT File 23.2MB Aug19 19)
Code (Zip Archive 3kB Aug19 19)
livescript.mlx (MATLAB Live Script 741kB Nov5 19)
livescript.pdf (Acrobat (PDF) 4.8MB Nov5 19)
Teaching Notes and Tips
References and Resources
AghaKouchak, A., et al. "Remote sensing of drought: Progress, challenges and opportunities." Reviews of Geophysics 53.2 (2015): 452-480.
Martinez, A. "Climate change and extreme values analysis", Teaching Computation in the Sciences Using MATLAB Exemplary Teaching Activities collection (2018). https://serc.carleton.edu/teaching_computation/workshop_2019/activities/231095.html