1-km monthly mean temperature dataset for china (1901-2021)

1-km monthly mean temperature dataset for china (1901-2021)



Data Citations Data citation guideline What's data citation?
Cite as:

Peng, S. (2019). 1-km monthly mean temperature dataset for china (1901-2021). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270961. CSTR: 18406.11.Meteoro.tpdc.270961. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Peng, S. Z, Gang, C. , Cao, Y. , & Chen, Y. . (2017). Assessment of climate change trends over the loess plateau in china from 1901 to 2100. International Journal of Climatology.( View Details | Bibtex)

2. Peng, S.Z., Ding, Y.X., Wen, Z.M., Chen, Y.M., Cao, Y., & Ren, J.Y. (2017). Spatiotemporal change and trend analysis of potential evapotranspiration over the Loess Plateau of China during 2011-2100. Agricultural and Forest Meteorology, 233, 183-194. https://doi.org/10.1016/j.agrformet.2016.11.129( View Details | Bibtex)

3. Ding, Y.X., & Peng, S.Z. (2020). Spatiotemporal trends and attribution of drought across China from 1901–2100. Sustainability, 12(2), 477.( View Details | Bibtex)

4. Peng, S.Z., Ding, Y.X., Liu, W.Z., & Li, Z. (2019). 1 km monthly temperature and precipitation dataset for China from 1901 to 2017. Earth System Science Data, 11, 1931–1946. https://doi.org/10.5194/essd-11-1931-2019( 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 services 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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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.


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


Related Resources
Comments

Current page automatically show English comments Show comments in all languages

Download Follow
Keywords
Geographic coverage
East: 136.20 West: 72.20
South: 16.25 North: 55.56
Details
  • Temporal resolution: Monthly
  • Spatial resolution: 1km - 10km
  • File size: 94,515 MB
  • Views: 52415
  • Downloads: 5103
  • Access: Open Access
  • Temporal coverage: 1901.1-2021.12
  • Updated time: 2023-07-22
Contacts
: PENG Shouzhang  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata