Articles | Volume 16, issue 10
https://doi.org/10.5194/gmd-16-2753-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-2753-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
PyFLEXTRKR: a flexible feature tracking Python software for convective cloud analysis
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, Washington, USA
Joseph Hardin
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, Washington, USA
Hannah C. Barnes
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, Washington, USA
Cooperative Institute for Research in Environmental Sciences at the
University of Colorado, Boulder, Colorado, USA
NOAA Global Systems Laboratory, Boulder, Colorado, USA
Jianfeng Li
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, Washington, USA
L. Ruby Leung
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, Washington, USA
Adam Varble
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, Washington, USA
Zhixiao Zhang
Department of Atmospheric Sciences, University of Utah, Salt Lake
City, Utah, USA
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18 citations as recorded by crossref.
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- Analysing 23 years of warm-season derechos in France: a climatology and investigation of synoptic and environmental changes L. Fery & D. Faranda 10.5194/wcd-5-439-2024
- TAMS: a tracking, classifying, and variable-assigning algorithm for mesoscale convective systems in simulated and satellite-derived datasets K. Núñez Ocasio & Z. Moon 10.5194/gmd-17-6035-2024
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- cloudbandPy 1.0: an automated algorithm for the detection of tropical–extratropical cloud bands R. Pilon & D. Domeisen 10.5194/gmd-17-2247-2024
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- Mesoscale Convective Systems in DYAMOND Global Convection‐Permitting Simulations Z. Feng et al. 10.1029/2022GL102603
16 citations as recorded by crossref.
- Tracking Mesoscale Convective Systems in IMERG and Regional Variability of Their Properties in the Tropics M. Rajagopal et al. 10.1029/2023JD038563
- An objective identification technique for potential vorticity structures associated with African easterly waves C. Fischer et al. 10.5194/gmd-17-4213-2024
- The Effects of Shallow Cumulus Cloud Shape on Interactions Among Clouds and Mixing With Near‐Cloud Environments J. Chen et al. 10.1029/2023GL106334
- On the relationship between precipitation extreme and local temperature over eastern China based on convection permitting simulations: roles of different moisture processes and precipitation types G. Dai et al. 10.1007/s00382-024-07467-w
- Environmental Controls on MCS Lifetime Rainfall Over Tropical Oceans X. Chen et al. 10.1029/2023GL103267
- tobac v1.5: introducing fast 3D tracking, splits and mergers, and other enhancements for identifying and analysing meteorological phenomena G. Sokolowsky et al. 10.5194/gmd-17-5309-2024
- A Lagrangian perspective on the lifecycle and cloud radiative effect of deep convective clouds over Africa W. Jones et al. 10.5194/acp-24-5165-2024
- Weather radar utility in hazard detection and response M. Benson et al. 10.5055/jem.0868
- Tracking precipitation features and associated large-scale environments over southeastern Texas Y. Liu et al. 10.5194/acp-24-8165-2024
- A database of deep convective systems derived from the intercalibrated meteorological geostationary satellite fleet and the TOOCAN algorithm (2012–2020) T. Fiolleau & R. Roca 10.5194/essd-16-4021-2024
- Analysing 23 years of warm-season derechos in France: a climatology and investigation of synoptic and environmental changes L. Fery & D. Faranda 10.5194/wcd-5-439-2024
- TAMS: a tracking, classifying, and variable-assigning algorithm for mesoscale convective systems in simulated and satellite-derived datasets K. Núñez Ocasio & Z. Moon 10.5194/gmd-17-6035-2024
- Responses of summer mesoscale convective systems to irrigation over the North China Plain based on convection-permitting model simulations Y. Wang et al. 10.1088/2515-7620/ad78ba
- Summertime Near‐Surface Temperature Biases Over the Central United States in Convection‐Permitting Simulations H. Qin et al. 10.1029/2023JD038624
- cloudbandPy 1.0: an automated algorithm for the detection of tropical–extratropical cloud bands R. Pilon & D. Domeisen 10.5194/gmd-17-2247-2024
- Lifecycle of updrafts and mass flux in isolated deep convection over the Amazon rainforest: insights from cell tracking S. Gupta et al. 10.5194/acp-24-4487-2024
Latest update: 23 Nov 2024
Short summary
PyFLEXTRKR is a flexible atmospheric feature tracking framework with specific capabilities to track convective clouds from a variety of observations and model simulations. The package has a collection of multi-object identification algorithms and has been optimized for large datasets. This paper describes the algorithms and demonstrates applications for tracking deep convective cells and mesoscale convective systems from observations and model simulations at a wide range of scales.
PyFLEXTRKR is a flexible atmospheric feature tracking framework with specific capabilities to...