TECA, Toolkit for Extreme Climate Analysis, User’s Guide

TECA is a framework for parallel data analyitics on large scale systems built by the DOE. TECA has algorithms for extreme event detection and analysis of detected events. Written in C++, TECA uses MPI and threads, to delivers state of the art performance and scaling. It’s Python bindings provide an easy way to script analyisis suitable to any need and to develop new diagnostics. Paired with NERSC’s shifter solution Python based analytics using TECA can run at largest scale on DOE HPC systems.

Fig. 1 Storm Tracks Generated by TECA

Contents:

• Installation
  • On a Cray Supercomputer
    • Overview
    • Configure script
  • On a laptop or desktop
    • A Python only install
    • Compiling TECA from sources
    • Installing dependencies
  • Post Install
• TECA Applications
  • Tropical Cyclone Detector
    • Command Line Arguments
    • Example
  • Tropical Cyclone Trajectories
    • Analyses produced by the stats stage
    • Command Line Arguments
    • Example
  • TC Wind Radii
    • Command Line Arguments
    • Example
  • Tropical Cyclone Statistics
    • Command Line Arguments
    • Analysis
    • Example
  • TC Trajectory Scalars
    • Command Line Arguments
    • Example
  • TC Wind Radii Stats
    • Command Line Arguments
    • Example
  • Event Filter
    • Command Line Arguments
    • Example
• Python
  • Pipeline Construction, Configuration and Execution
  • Algorithm Development
    • Report Phase
    • Request Phase
    • Execute
    • The Report Callback
    • The Request Callback
    • The Execute Callback
    • Arrays
    • Metadata
    • Array Collections
    • Tables
    • Cartesian Meshes
• Development
  • Testing
  • Timing and Profiling
    • Compilation
    • Runtime controls
    • Visualization