{"id":26067568,"url":"https://github.com/echeynet/sst_hd","last_synced_at":"2026-04-21T14:33:02.493Z","repository":{"id":108866564,"uuid":"337693090","full_name":"ECheynet/SST_HD","owner":"ECheynet","description":"Matlab functions to import the high-resolution sea surface temperature data from the JPL OurOcean group","archived":false,"fork":false,"pushed_at":"2023-08-11T07:39:44.000Z","size":1173,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2024-01-29T10:16:11.218Z","etag":null,"topics":["ocean-sciences","oceanography","sea-surface-temperature","sst"],"latest_commit_sha":null,"homepage":"","language":"MATLAB","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ECheynet.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2021-02-10T10:45:20.000Z","updated_at":"2023-07-08T08:11:06.000Z","dependencies_parsed_at":"2023-03-15T13:30:45.251Z","dependency_job_id":"2bec401f-7765-4c8b-be20-d85124d3bb97","html_url":"https://github.com/ECheynet/SST_HD","commit_stats":{"total_commits":20,"total_committers":1,"mean_commits":20.0,"dds":0.0,"last_synced_commit":"367f86527dfeb8d69327df9433d2a880c7eb0055"},"previous_names":[],"tags_count":4,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ECheynet%2FSST_HD","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ECheynet%2FSST_HD/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ECheynet%2FSST_HD/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ECheynet%2FSST_HD/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ECheynet","download_url":"https://codeload.github.com/ECheynet/SST_HD/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242614076,"owners_count":20158223,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ocean-sciences","oceanography","sea-surface-temperature","sst"],"created_at":"2025-03-08T21:45:12.468Z","updated_at":"2026-04-21T14:33:02.448Z","avatar_url":"https://github.com/ECheynet.png","language":"MATLAB","funding_links":["https://www.buymeacoffee.com/echeynet"],"categories":[],"sub_categories":[],"readme":"# Automated importation of sea surface temperature data\nMatlab functions to import the high-resolution sea surface temperature data from the JPL OurOcean group\n\n[![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)\n[![DOI](https://zenodo.org/badge/337693090.svg)](https://zenodo.org/badge/latestdoi/337693090)\n\n\u003ca href=\"https://www.buymeacoffee.com/echeynet\" target=\"_blank\"\u003e\u003cimg src=\"https://www.buymeacoffee.com/assets/img/custom_images/orange_img.png\" alt=\"Buy Me A Coffee\" style=\"height: 25px !important;width: 120px !important;box-shadow: 0px 3px 2px 0px rgba(190, 190, 190, 0.5) !important;-webkit-box-shadow: 0px 3px 2px 0px rgba(190, 190, 190, 0.5) !important;\" \u003e\u003c/a\u003e\n\n## Summary\n\nThe 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.\n\n## Content\n\nThe repository contains:\n  - The function getSST, which read the netcdf files and extract the SST data, time and corresponding coordinates\n  - An example within the Matlab livescript Documentation.mlx\n  \n\n## References\n[1] https://podaac.jpl.nasa.gov/dataset/JPL_OUROCEAN-L4UHfnd-GLOB-G1SST\n\n[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\n\n[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.\n\n[4] https://se.mathworks.com/matlabcentral/fileexchange/50390-borders\n\n## Example 1 (case of the North Sea) \n\nThe fitting of the extended SEIR model to real data provides the following results:\n\n![SST map of the North Sea](illustration.jpg)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fecheynet%2Fsst_hd","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fecheynet%2Fsst_hd","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fecheynet%2Fsst_hd/lists"}