Abstract
This paper describes a new open-source software framework for automated pointwise feature tracking that is applicable to a wide array of climate datasets using either structured or unstructured grids. Common climatological pointwise features include tropical cyclones, extratropical cyclones and tropical easterly waves. To enable support for a wide array of detection schemes, a suite of algorithmic kernels have been developed that capture the core functionality of algorithmic tracking routines throughout the literature. A review of efforts related to pointwise feature tracking from the past 3 decades is included. Selected results using both reanalysis datasets and unstructured grid simulations are provided.
Original language | English (US) |
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Pages (from-to) | 1069-1090 |
Number of pages | 22 |
Journal | Geoscientific Model Development |
Volume | 10 |
Issue number | 3 |
DOIs | |
State | Published - Mar 7 2017 |
All Science Journal Classification (ASJC) codes
- Modeling and Simulation
- General Earth and Planetary Sciences