Automated importation of sea surface temperature data

Summary 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 [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 with 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 getFilesName, which extract the address of the netcdf files containing the SST data 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