Eddy-Driven Jet Object data from ERA5 winters 1979-2020 ...
Author: Jacob PerezContact: scjp@leeds.ac.uk Paper title: A new characterization of the North Atlantic eddy-driven jet using2-dimensional moment analysis Code used to generate this data can be found at https://github.com/scjpleeds/EDJO-identification. Information about data: Each .npy file contains...
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| Format: | Dataset |
| Language: | unknown |
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Zenodo
2024
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| Online Access: | https://dx.doi.org/10.5281/zenodo.10053894 https://zenodo.org/doi/10.5281/zenodo.10053894 |
| Summary: | Author: Jacob PerezContact: scjp@leeds.ac.uk Paper title: A new characterization of the North Atlantic eddy-driven jet using2-dimensional moment analysis Code used to generate this data can be found at https://github.com/scjpleeds/EDJO-identification. Information about data: Each .npy file contains the variable data for the winters (December, January and February) between 1979/80-2019/2020, in a daily format. File names containing *_lm.npz contain data defined by the largest mass EDJO on each day. File names containing *_full.npz contain EDJO data for days with two objects or more. Array lengths are 3701. Loading and Accessing the data: Accessing data from the largest mass can be done by, data = np.load(filename). To list all variables in a file, print(data.files). Once the data is loaded you can access the relevant variable by, phibar = np.squeeze(np.vstack(data['phibar'])) ... |
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