CyTRACK: An open-source and user-friendly python']python toolbox for detecting and tracking cyclones

被引:2
作者
Perez-Alarcon, Albenis [1 ,2 ,3 ]
Coll-Hidalgo, Patricia [1 ]
Trigo, Ricardo M. [3 ,4 ]
Nieto, Raquel [1 ]
Gimeno, Luis [1 ]
机构
[1] Univ Vigo, Ctr Invest Marina, Environm Phys Lab EPhysLab, Campus Lagoas S-N, Orense 32004, Spain
[2] Univ La Habana, Dept Meteorol, Inst Super Tecnol & Ciencias Aplicadas, Havana 10400, Cuba
[3] Univ Lisbon, Inst Dom Luiz IDL, Fac Ciencias, P-1749016 Lisbon, Portugal
[4] Univ Fed Rio De Janeiro, Dept Meteorol, BR-21941919 Rio De Janeiro, Brazil
关键词
Cyclones; Detection and tracking; !text type='Python']Python[!/text; Reanalysis dataset; Climate models; TROPICAL CYCLONES; EXTRATROPICAL CYCLONES; INTERANNUAL VARIABILITY; CLIMATOLOGICAL ASPECTS; IDENTIFICATION METHOD; DETECTION SCHEME; REANALYSIS DATA; STORM-TRACKS; ALGORITHM; DATASETS;
D O I
10.1016/j.envsoft.2024.106027
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This work introduces CyTRACK (Cyclone TRACKing framework), a new open-source, comprehensive and userfriendly Python toolbox for detecting and tracking cyclones in model and reanalysis datasets. The kernel of CyTRACK is based on detecting critical cyclone centres in the mean sea level pressure field at a single time slice, which are then filtered following several threshold parameters. This paper also compares ten years of CyTRACK outputs forced with the ERA5 reanalysis against best-track archives and available cyclones track datasets. The results reveal that CyTRACK can capture the inter-annual (year to year) and intra annual (seasonal cycle) variability of cyclone frequency, life cycle characteristics and spatial distribution of track densities. Largest differences were observed in the annual and seasonal frequency. In summary, CyTRACK provides a user-friendly framework for sensitivity analysis of several free parameters used to perform the tracking, and it is useful for case or climatological studies of cyclone features.
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页数:16
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