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Toolkit for Extreme Climate Analysis (TECA) Tutorial

What will I learn?

The primary goal is that you come away from this tutorial inspired and enabled to use the Toolkit for Extreme Climate Analysis (TECA) in your own research. Specifically, by the end of this tutorial, you will be able to:

  • apply existing TECA tools to a climate dataset
  • write a custom TECA application using Python
  • create a new TECA algorithm in Python

How will I learn?

This tutorial will use a combination of short lectures interspersed with lengthy practical exercises on a real supercomputing system.

What do I need to know in advance?

This tutorial assumes that participants

  • are proficient in the use of Unix-type command line systems
  • have some familiarity with programming (Python experience isn’t strictly necessary; if you know R, for example, the skills should be transferable for this tutorial)
  • have some experience with netCDF-based climate data
  • have accounts on NERSC
  • have access to data in the m3522 CFS directory at NERSC

Who is leading the tutorial?

I’m Travis A. O’Brien, an Assistant Professor at Indiana University Bloomington and Visiting Faculty at Lawrence Berkeley National Lab. My research focuses on understanding the factors that control variability and trends in extreme weather. Along with Dr. Mark Risser, I co-lead the Computational and Statistical Infrastructure team within the Calibrated and Systematic Characterization, Attribution, and Detection of Extreme (CASCADE) project, which is the main project that sponsors the development of TECA. I am also one of the developers of TECA (Dr. Burlen Loring is the primary developer).

What will we do in the tutorial?

This three-hour tutorial will roughly follow this outline:

Lecture Duration Mode of Instruction Activity
1 15 min Lecture Overview of TECA and its three main ways of being used
1 20 min Lab Use teca_metadata_probe to get the properties of a large netCDF dataset
1 15 min Lab Use teca_cf_restripe to subselect & rewrite a dataset
2 10 min Lecture Custom TECA Python applications
2 50 min Lab Write and test teca_heatwave_detect.py
3 30 min Lab Continue work on teca_heatwave_detect.py
3 20 min Lab Use teca_temporal_reduce to generate composites of heatwave conditions
3 10 min Discussion Other options TECA applications

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