TECA: A Parallel Toolkit for Extreme Climate Analysis
Copyright policy )TECA: A Parallel Toolkit for Extreme Climate Analysis
AbstractWe present TECA, a parallel toolkit for detecting extreme events in large climate datasets. Modern climate datasets expose parallelism across a number of dimensions: spatial locations, timesteps and ensemble members. We design TECA to exploit these modes of parallelism and demonstrate a prototype implementation for detecting and tracking three classes of extreme events: tropical cyclones, extra-tropical cyclones and atmospheric rivers. We process a modern TB-sized CAM5 simulation dataset with TECA, and demonstrate good runtime performance for the three case studies.
- Lawrence Berkeley National Laboratory United States
- University of North Texas United States
Feature Detection and Tracking, 97 Mathematics And Computing, Parallel Analysis, Feature Detection And Tracking, Climate Analysis, 54 Environmental Sciences Feature Detection And Tracking
Feature Detection and Tracking, 97 Mathematics And Computing, Parallel Analysis, Feature Detection And Tracking, Climate Analysis, 54 Environmental Sciences Feature Detection And Tracking
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