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SCE

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Field Value
Description SC-Earth provides global point-based daily surface climate data from January 1950 to December 2019. It encompasses various climate variables, facilitating comprehensive climate research and modeling efforts.
Folder /datasets/meteorological/SC-Earth
Discipline Meteorology / Climate Sciences / Hydrology
DOI 10.1175/JCLI-D-21-0067.1
Link Access Data
Public true
Publication Date 2021-07-01
Downloaded 2024-10-31
Time Resolution Daily (Jan 1950 - Dec 2019)
Spatial Resolution Point-based - Global
Data Type NetCDF
Dataset Size 22G
Number of Files 16
Usage 
$ module avail
$ module load datasets
$ module load meteorological/SC-Earth/2021-07-01
Usage Policy Link http://creativecommons.org/licenses/by/4.0/
Usage Policy This dataset is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Users may use, share, adapt, and redistribute the data with appropriate credit to the dataset authors. A link to the license must be included (https://creativecommons.org/licenses/by/4.0/), and any modifications should be clearly indicated. Users are responsible for ensuring that the dataset is appropriate for their applications.
Citation Tang, G., Clark, M. P., & Papalexiou, S. M. (2021). SC-Earth: A Station-Based Serially Complete Earth Dataset from 1950 to 2019. Journal of Climate, 34(16), 6493-6511. https://doi.org/10.1175/JCLI-D-21-0067.1
BibTeX
📜 View BibTeX citation
@article { SCEarthAStationBasedSeriallyCompleteEarthDatasetfrom1950to2019,
      author = "Guoqiang Tang and Martyn P. Clark and Simon Michael Papalexiou",
      title = "SC-Earth: A Station-Based Serially Complete Earth Dataset from 1950 to 2019",
      journal = "Journal of Climate",
      year = "2021",
      publisher = "American Meteorological Society",
      address = "Boston MA, USA",
      volume = "34",
      number = "16",
      doi = "10.1175/JCLI-D-21-0067.1",
      pages=      "6493 - 6511",
      url = "https://journals.ametsoc.org/view/journals/clim/34/16/JCLI-D-21-0067.1.xml"
}