Datasets to Transient Attracting Profiles in the Great Pacific Garbage Patch

Summary This repository contains supplementary datasets to the publication Transient Attracting Profiles in the Great Pacific Garbage Patch (Kunz et al., 2024, preprint). TRansient Attracting Profiles (TRAPs, Serra et al. (2020), Serra and Haller (2016)) have been computed using the TRAPs detection software by Mattia Serra (2020). Raw TRAPs were further post-processed, tracked and analysed using software by Luca Kunz (2024). Here we provide two comprehensive datasets: the TRAPS GPGP dataset: This dataset contains 20 years of TRAP detections with various attributes like e.g. TRAP lifetimes, propagation speeds and pattern detections in the surrounding vorticity field. It comes in 20 yearly files named MULTIOBS_24HI_e025_TRAPS_GPGP_20XX.pkl. the TRAPS DRIFTERS HPS dataset: This dataset contains 20 years of drifter-TRAP pair detections with attributes like e.g. drifter-TRAP distances, drifter retention times and TRAP attraction strengths. It comes in one file named MULTIOBS_24HI_e025_GDP_24HI_TRAPS_DRIFTERS_HPS_0019_r075.pkl. You can use these scripts to open the datasets and follow the analysis in Kunz et al. (2024): aa_define_classes.ipynbrxa_read_TRAPS_GPGP.ipynbrxb_read_TRAPS_DRIFTERS_HPS.ipynbrxc_ANALYSIS_EXAMPLES.ipynb Make sure you adopt the directory structure that is provided here. You can use the .yml file to set up the working environment via conda env create -f trapsgpgp_condaenvexport.yml or conda create -n trapsgpgp -f trapsgpgp_condaenvexport.yml. For supplementary videos, see: https://doi.org/10.5281/zenodo.10943728 Source data Raw TRAPs and relative vorticity are derived from daily snapshots of near-surface geostrophic + Ekman currents from the product Global Total Surface and 15m Current (COPERNICUS-GLOBCURRENT) from Altimetric Geostrophic Current and Modeled Ekman Current Reprocessing that is provided by the E.U. Copernicus Marine Service (CMEMS, 2022a). Surface drifter positions have been consulted from the Global Drifter Program (Lumpkin and Centurioni, 2019). This repository does not include raw TRAP detections, raw drifter data or relative vorticity fields but they can be shared upon request. Acknowledgements This work is a contribution to the project L3 Meso- to submesoscale turbulence in the ocean of the Collaborative Research Centre TRR 181 Energy Transfer in Atmosphere and Ocean funded by the German Research Foundation (DFG) and has been conducted in collaboration with The Ocean Cleanup. Please cite When using the data, please cite Kunz, L., Griesel, A., Eden, C., Duran, R., and Sainte-Rose, B.: Transient Attracting Profiles in the Great Pacific Garbage Patch, Ocean Sci., 20, 1611–1630, https://doi.org/10.5194/os-20-1611-2024, 2024. and provide a link to the repository.## 摘要 本仓库为发表于《Transient Attracting Profiles in the Great Pacific Garbage Patch》（Kunz等，2024，预印本）的论文提供补充数据集。瞬态吸引剖面（Transient Attracting Profiles，简称TRAPs，Serra等，2020；Serra与Haller，2016）由Mattia Serra（2020）开发的TRAPs检测软件计算得到。原始TRAPs数据后续经Luca Kunz（2024）开发的软件完成后处理、追踪与分析。本仓库提供两组完整数据集： ### TRAPS GPGP数据集 该数据集包含20年的TRAPs检测结果，涵盖TRAPs生命周期、传播速度、周围涡度场模式检测等多项属性。数据以20个年度文件形式存储，文件命名格式为`MULTIOBS_24HI_e025_TRAPS_GPGP_20XX.pkl`。 ### TRAPS DRIFTERS HPS数据集 该数据集包含20年的浮标-TRAP配对检测结果，涵盖浮标与TRAP的距离、浮标滞留时间、TRAP吸引强度等多项属性。数据存储于单个文件中，文件名为`MULTIOBS_24HI_e025_GDP_24HI_TRAPS_DRIFTERS_HPS_0019_r075.pkl`。 您可使用以下脚本打开数据集并复现Kunz等人（2024）论文中的分析流程：`aa_define_classes.ipynb`、`rxa_read_TRAPS_GPGP.ipynb`、`rxb_read_TRAPS_DRIFTERS_HPS.ipynb`、`rxc_ANALYSIS_EXAMPLES.ipynb`。 请务必遵循本仓库提供的目录结构。您可通过.yml环境配置文件搭建工作环境，执行命令：`conda env create -f trapsgpgp_condaenvexport.yml` 或 `conda create -n trapsgpgp -f trapsgpgp_condaenvexport.yml`。 补充视频可访问：https://doi.org/10.5281/zenodo.10943728 ## 源数据 原始TRAPs数据与相对涡度场源自欧盟哥白尼海洋服务中心（CMEMS，2022a）发布的《Altimetric Geostrophic Current and Modeled Ekman Current Reprocessing》产品中的全球总表面与15米海流（Global Total Surface and 15m Current, COPERNICUS-GLOBCURRENT）近表层地转流与埃克曼流的日快照数据。表层浮标位置数据源自全球浮标项目（Global Drifter Program，Lumpkin与Centurioni，2019）。本仓库未包含原始TRAPs检测结果、原始浮标数据或相对涡度场，如有需要可申请获取。 ## 致谢 本研究隶属于德国研究基金会（DFG）资助的合作研究中心TRR 181“大气与海洋中的能量传递”项目中的“海洋中尺度到亚中尺度湍流L3”子课题，并与The Ocean Cleanup团队合作完成。 ## 引用说明 使用本数据集时，请引用以下论文：Kunz, L., Griesel, A., Eden, C., Duran, R., 与 Sainte-Rose, B.：Transient Attracting Profiles in the Great Pacific Garbage Patch, Ocean Sci., 20, 1611–1630, https://doi.org/10.5194/os-20-1611-2024, 2024. 并附上本仓库的链接。