Climate Analytics Lab

Improving climate projections with machine learning

Let’s get hands-on with the data! You should have already received the example notebook with paths and data in.

Topics

You will be touching on the following topics.

  • Exploring the CMIP6 output data
  • Learning about xarray and plotting climate datasets

Tasks

  • Plot a map of the average global temperature between 2005-2015.
  • Plot a map of the difference in global temperature from 1850-1900 to 2005-2015 with appropriate colorbar and title.
  • Plot similar maps for precipitation and daily maximium temperature.
  • Plot a global average time-series of the variables above. Optionally include multiple ensemble members (or an indication of the spread across ensemble members).
  • Each team member pick another variable and produce similar plots for those.

Questions

No questions this week, but please prepare to present your plots and discuss your findings in class next week.