SSTG dataset: A Global Gridded Sea Surface Temperature Data (2002–2019)-National Tibetan Plateau Data Center

The SSTG dataset is a global sea surface temperature data during the period of 2002-2019, in Celsius, in monthly temporal and 0.041° spatial resolution.

It is produced by combing daily in situ SST data and daily satellite SST retrieval data from two infrared (MODIS and AVHRR) and three passive microwave (AMSR-E, AMSR2, Windsat) radiometers after calibration by using a temperature depth and observation time correction model. The accuracy assessments indicate that the reconstructed dataset exhibits significant improvements and can be used for mesoscale ocean phenomenon analyses.

File naming and required software

The file consists of 19 parts:
1) Metadata for SSTG.docx: this file;
2) XXXX_SSTG.rar: it contains data of SSTG. It contains 18 folders (one for each year). Except for the folder named 2002_SST which has 6 images, each of the remaining folders has 12 images (one scene per month). XXXX is the UTC year. Each phase consists of two files, including *.img (SSTG image) and *.hdr (image coordinate information).
The naming convention for SSTG dataset is yyyymmdd_yyyymmdd.img (or hdr), where: yyyy is the UTC year; mm is the UTC month; dd is the UTC day.

Data Citations Data citation guideline What's data citation?

Cite as:

Mao, K. (2021). SSTG dataset: A Global Gridded Sea Surface Temperature Data (2002–2019). National Tibetan Plateau Data Center, DOI: 10.5281/zenodo.4419804. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Cao, M., Mao, K., Yan, Y., Shi, J., Wang, H., Xu, T., Fang, S., & Yuan, Z. (2021). A new global gridded sea surface temperature data product based on multisource data. Earth System Science Data, 13(5), 2111–2134. https://doi.org/10.5194/essd-13-2111-2021( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Copyright & License

To respect the intellectual property rights, protect the rights of data authors,expand servglacials of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)