PyFLEXTRKR: a flexible feature tracking Python software for convective cloud analysis
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...
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| Published in | Geoscientific Model Development Vol. 16; no. 10; pp. 2753 - 2776 |
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| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Katlenburg-Lindau
Copernicus GmbH
23.05.2023
Copernicus Publications, EGU Copernicus Publications |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1991-9603 1991-959X 1991-962X 1991-9603 1991-962X |
| DOI | 10.5194/gmd-16-2753-2023 |
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| Summary: | 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. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 PNNL-SA-179219 USDOE National Science Foundation (NSF) AC05-76RL01830; AC05-00OR22725; AC02-05CH11231; 1661662 USDOE Office of Science (SC), Biological and Environmental Research (BER) |
| ISSN: | 1991-9603 1991-959X 1991-962X 1991-9603 1991-962X |
| DOI: | 10.5194/gmd-16-2753-2023 |