Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 5
Articles | Volume 17, issue 5
https://doi.org/10.5194/essd-17-2147-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-2147-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 5
Data description article
 | 
21 May 2025
Data description article |  | 21 May 2025

U-Surf: a global 1 km spatially continuous urban surface property dataset for kilometer-scale urban-resolving Earth system modeling

Yifan Cheng, Lei Zhao, TC Chakraborty, Keith Oleson, Matthias Demuzere, Xiaoping Liu, Yangzi Che, Weilin Liao, Yuyu Zhou, and Xinchang “Cathy” Li

Viewed

Total article views: 6,546 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
4,712 1,182 652 6,546 425 83 120
  • HTML: 4,712
  • PDF: 1,182
  • XML: 652
  • Total: 6,546
  • Supplement: 425
  • BibTeX: 83
  • EndNote: 120
Views and downloads (calculated since 01 Oct 2024)
Cumulative views and downloads (calculated since 01 Oct 2024)

Viewed (geographical distribution)

Total article views: 6,546 (including HTML, PDF, and XML) Thereof 6,364 with geography defined and 182 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 Mar 2026
Download
Short summary
The absence of globally consistent and spatially continuous urban surface input has long hindered large-scale high-resolution urban climate modeling. Using remote sensing, cloud computing, and machine learning, we developed U-Surf, a 1 km dataset providing key urban surface properties worldwide. U-Surf enhances urban representation across scales and supports kilometer-scale urban-resolving Earth system modeling unprecedentedly, with broader applications in urban studies and beyond.
Read more
Share
Altmetrics
Final-revised paper
Preprint