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) |
|---|---|
| Pages (from-to) | 1069-1090 |
| Number of pages | 22 |
| Journal | Geoscientific Model Development |
| Volume | 10 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 7 2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
All Science Journal Classification (ASJC) codes
- Modeling and Simulation
- General Earth and Planetary Sciences
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