https://github.com/echeynet/sst_hd

Matlab functions to import the high-resolution sea surface temperature data from the JPL OurOcean group
https://github.com/echeynet/sst_hd

ocean-sciences oceanography sea-surface-temperature sst

Last synced: 3 months ago
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Matlab functions to import the high-resolution sea surface temperature data from the JPL OurOcean group

• Host: GitHub
• URL: https://github.com/echeynet/sst_hd
• Owner: ECheynet
• License: bsd-3-clause
• Created: 2021-02-10T10:45:20.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2023-08-11T07:39:44.000Z (almost 2 years ago)
• Last Synced: 2024-01-29T10:16:11.218Z (over 1 year ago)
• Topics: ocean-sciences, oceanography, sea-surface-temperature, sst
• Language: MATLAB
• Homepage:
• Size: 1.12 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 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](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://se.mathworks.com/matlabcentral/fileexchange/87222-automated-importation-of-sea-surface-temperature-data)

[![DOI](https://zenodo.org/badge/337693090.svg)](https://zenodo.org/badge/latestdoi/337693090)



## 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](illustration.jpg)