Automated importation of sea surface temperature data
Updated 15 Feb 2021
Matlab functions to import the high-resolution sea surface temperature data from the JPL OurOcean group
The function getSST reads and store the sea surface temperature (SST) produced daily by the JPL OurOcean group . The dataset is described in more details in Chao et al. . 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.
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
 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
 Greene, Chad A., et al. “The Climate Data Toolbox for MATLAB.” Geochemistry, Geophysics, Geosystems, American Geophysical Union (AGU), July 2019, doi:10.1029/2019gc008392.
The fitting of the extended SEIR model to real data provides the following results:
E. Cheynet (2022). Automated importation of sea surface temperature data (https://github.com/ECheynet/SST_HD/releases/tag/v1.2), GitHub. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
Inspired by: borders
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