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PyFLEXTRKR: a flexible feature tracking Python software for convective cloud analysis
| Content Provider | Scilit |
|---|---|
| Author | Feng, Zhe Hardin, Joseph Barnes, Hannah C. Li, Jianfeng Leung, L. Ruby Varble, Adam Zhang, Zhixiao |
| Copyright Year | 2023 |
| Description | This paper describes the new open-source framework PyFLEXTRKR (Python FLEXible object TRacKeR), a flexible atmospheric feature tracking software package with specific capabilities to track convective clouds from a variety of observations and model simulations. This software can track any atmospheric 2D objects and handle merging and splitting explicitly. The package has a collection of multi-object identification algorithms, scalable parallelization options, and has been optimized for large datasets including global high-resolution data. We demonstrate applications of PyFLEXTRKR on tracking individual deep convective cells and mesoscale convective systems from observations and model simulations ranging from large-eddy resolving (∼100s m) to mesoscale (∼10s km) resolutions. Visualization, post-processing, and statistical analysis tools are included in the package. New Lagrangian analyses of convective clouds produced by PyFLEXTRKR applicable to a wide range of datasets and scales facilitate advanced model evaluation and development efforts as well as scientific discovery. |
| Ending Page | 2776 |
| Page Count | 24 |
| Starting Page | 2753 |
| ISSN | 19919603 |
| e-ISSN | 19919603 |
| DOI | 10.5194/gmd-16-2753-2023 |
| Journal | Geoscientific Model Development |
| Issue Number | 10 |
| Volume Number | 16 |
| Language | English |
| Publisher | Copernicus GmbH |
| Publisher Date | 2023-05-23 |
| Access Restriction | Open |
| Subject Keyword | Software Engineering Convective Clouds |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences Modeling and Simulation |
