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Lagrangian trajectories representing surface drift from the Cape Verde islands

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Zenodo2022-05-27 更新2026-05-25 收录
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<strong>Example trajectories from a biophysical Lagrangian simulation</strong> This is 25x 50.000 example trajectories from biophysical experiments performed with Parcels. The trajectories are a tiny subset of a much bigger collection of trajectories that have been simulated with the aim of learning about the fate of particles drifting away from the Cape Verde islands. Note, that these trajectories should not be used for biological or physical science but merely serve as study objects for developing, testing, or benchmarking (stasticical) methods and algorithms. <strong>Details of the experiments</strong> The trajectories are taken from 25 sets of biophysical simulations which differ in the year they represent. Particles are seeded between mid of August and start of December of the years 1993 to 2017. They are subject to Ocean surface currents simulated by a high-resolution ocean model and subject to Stokes Drift estimated by a wave simulation data provided by the Copernicus Marine Service (https://marine.copernicus.eu/). <strong>Data store</strong> The data come as a Zarr store inside of a ZIP file "cape_verde_drift_trajectories_1993-2017.zarr.zip" which you need to download and unzip to be able to read it, e.g., with Xarray's open_zarr method. <strong>Variables and their meaning</strong> <code>"obs"</code> contains the time step since the larva started to exist. Each trajectory covers up to 881 daily positions. <code>"traj"</code> indicates the trajectory ID. <code>"lat"</code> and <code>"lon"</code> contain the horizontal positions in degrees Latitude and Longitude. <code>"temp"</code> contains the ambient temperature in degrees Celsius the simulated larva would have felt. <code>"time"</code> contains time stamps for each position. <code>"z"</code> contains the vertical positions of the simulated larva in meters counted downwards. <strong>Using the data</strong> This data set is licensed under a Creative Commons Attribution 4.0 International License. If you use the data, we'd love to get a notice to wrath@geomar.de. This is, however, not required.

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Zenodo
创建时间:
2022-05-27
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