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Automated importation of sea surface temperature data

E. Cheynet


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  <identifier identifierType="DOI">10.5281/zenodo.4536836</identifier>
  <creators>
    <creator>
      <creatorName>E.  Cheynet</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4854-1469</nameIdentifier>
      <affiliation>University of Bergen</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Automated importation of sea surface temperature data</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <dates>
    <date dateType="Issued">2021-02-12</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4536836</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/ECheynet/SST_HD/tree/v1.1</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4536835</relatedIdentifier>
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  <version>v1.1</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&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;Content&lt;/p&gt;

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

&lt;ul&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;/ul&gt;

&lt;p&gt;References&lt;/p&gt;

&lt;p&gt;[1] &lt;a href="https://podaac.jpl.nasa.gov/dataset/JPL_OUROCEAN-L4UHfnd-GLOB-G1SST"&gt;https://podaac.jpl.nasa.gov/dataset/JPL_OUROCEAN-L4UHfnd-GLOB-G1SST&lt;/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="https://se.mathworks.com/matlabcentral/fileexchange/50390-borders"&gt;https://se.mathworks.com/matlabcentral/fileexchange/50390-borders&lt;/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;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;</description>
  </descriptions>
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