Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 15, issue 11
Articles | Volume 15, issue 11
https://doi.org/10.5194/essd-15-4849-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-4849-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 11
Data description paper
 | 
31 Oct 2023
Data description paper |  | 31 Oct 2023

A global 5 km monthly potential evapotranspiration dataset (1982–2015) estimated by the Shuttleworth–Wallace model

Shanlei Sun, Zaoying Bi, Jingfeng Xiao, Yi Liu, Ge Sun, Weimin Ju, Chunwei Liu, Mengyuan Mu, Jinjian Li, Yang Zhou, Xiaoyuan Li, Yibo Liu, and Haishan Chen

Viewed

Total article views: 1,867 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,366 447 54 1,867 137 44 51
  • HTML: 1,366
  • PDF: 447
  • XML: 54
  • Total: 1,867
  • Supplement: 137
  • BibTeX: 44
  • EndNote: 51
Views and downloads (calculated since 02 Mar 2023)
Cumulative views and downloads (calculated since 02 Mar 2023)

Viewed (geographical distribution)

Total article views: 1,867 (including HTML, PDF, and XML) Thereof 1,806 with geography defined and 61 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 May 2024
Download
Short summary
Based on various existing datasets, we comprehensively considered spatiotemporal differences in land surfaces and CO2 effects on plant stomatal resistance to parameterize the Shuttleworth–Wallace model, and we generated a global 5 km ensemble mean monthly potential evapotranspiration (PET) dataset (including potential transpiration PT and soil evaporation PE) during 1982–2015. The new dataset may be used by academic communities and various agencies to conduct various studies.
Read more
Altmetrics
Final-revised paper
Preprint