Automated importation of sea surface temperature data

Version 2.0 (714 ko) par E. Cheynet
Matlab functions to import the high-resolution sea surface temperature data from the JPL OurOcean group (0.01 deg lat-lon gridded data).
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Mise à jour 30 juin 2023

Automated importation of sea surface temperature data

Matlab functions to import the high-resolution sea surface temperature data from the JPL OurOcean group

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Summary

The function getSST reads and store the sea surface temperature (SST) produced daily by the JPL OurOcean group [1]. The dataset is described in more details in Chao et al. [2]. The SST data are available on a grid of 0.009 degree, which represents a horizontal resolution of approximatively 1 km. In the documentation, the second example uses the function borders.m and/or bordersm.m [3,4]. This is the first version of the submission, some bugs may still be present. Credits should go to [1,2] for the dataset.

Content

The repository contains:

  • The function getSST, which read the netcdf files and extract the SST data, time and corresponding coordinates
  • An example within the Matlab livescript Documentation.mlx

References

[1] https://podaac.jpl.nasa.gov/dataset/JPL_OUROCEAN-L4UHfnd-GLOB-G1SST

[2] Chao, Y., Z. Li, J. D. Farrara, and P. Huang: Blended sea surface temperatures from multiple satellites and in-situ observations for coastal oceans, 2009: Journal of Atmospheric and Oceanic Technology, 26 (7), 1435-1446, 10.1175/2009JTECHO592.1

[3] Greene, Chad A., et al. “The Climate Data Toolbox for MATLAB.” Geochemistry, Geophysics, Geosystems, American Geophysical Union (AGU), July 2019, doi:10.1029/2019gc008392.

[4] https://se.mathworks.com/matlabcentral/fileexchange/50390-borders

Example 1 (case of the North Sea)

The fitting of the extended SEIR model to real data provides the following results:

SST map of the North Sea

Citation pour cette source

E. Cheynet (2024). Automated importation of sea surface temperature data (https://github.com/ECheynet/SST_HD/releases/tag/v2.0), GitHub. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2022b
Compatible avec les versions R2016b et ultérieures
Plateformes compatibles
Windows macOS Linux
Remerciements

Inspiré par : borders

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Version Publié le Notes de version
2.0

See release notes for this release on GitHub: https://github.com/ECheynet/SST_HD/releases/tag/v2.0

1.2

See release notes for this release on GitHub: https://github.com/ECheynet/SST_HD/releases/tag/v1.2

1.1

See release notes for this release on GitHub: https://github.com/ECheynet/SST_HD/releases/tag/v1.1

1.0

Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.
Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.