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Automated importation of sea surface temperature data

E. Cheynet

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    <subfield code="a">&lt;p&gt;Summary&lt;/p&gt;

&lt;p&gt;Matlab functions to import the high-resolution sea surface temperature data from the JPL OurOcean group&lt;/p&gt;

&lt;p&gt;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.&lt;/p&gt;


&lt;p&gt;The repository contains:&lt;/p&gt;

	&lt;li&gt;The function getFilesName, which extract the address of the netcdf files containing the SST data&lt;/li&gt;
	&lt;li&gt;The function getSST, which read the netcdf files and extract the SST data, time and corresponding coordinates&lt;/li&gt;
	&lt;li&gt;An example within the Matlab livescript Documentation.mlx&lt;/li&gt;


&lt;p&gt;[1] &lt;a href=""&gt;;/a&gt;&lt;/p&gt;

&lt;p&gt;[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&lt;/p&gt;

&lt;p&gt;[3] Greene, Chad A., et al. &amp;quot;The Climate Data Toolbox for MATLAB.&amp;quot; Geochemistry, Geophysics, Geosystems, American Geophysical Union (AGU), July 2019, doi:10.1029/2019gc008392.&lt;/p&gt;

&lt;p&gt;[4] &lt;a href=""&gt;;/a&gt;&lt;/p&gt;

&lt;p&gt;Example 1 (case of the North Sea)&lt;/p&gt;

&lt;p&gt;The fitting of the extended SEIR model to real data provides the following results:&lt;/p&gt;

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