Automated importation of sea surface temperature data

versión 1.2 (706 KB) por 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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Actualizada 15 Feb 2021

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Automated importation of sea surface temperature data

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

View Automated importation of sea surface temperature data on File Exchange

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

Citar como

E. Cheynet (2022). Automated importation of sea surface temperature data (https://github.com/ECheynet/SST_HD/releases/tag/v1.2), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2020b
Compatible con la versión R2016b y siguientes
Compatibilidad con las plataformas
Windows macOS Linux
Agradecimientos

Inspirado por: borders

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