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.
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.
the Creative Commons Attribution 4.0 License.
Data description article
| 
21 May 2025
Data description article |
| 21 May 2025
| 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
Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
Institute for Sustainability, Energy, and Environment (iSEE), University of Illinois Urbana-Champaign, Urbana, IL, USA
National Center for Supercomputing Applications, University of Illinois Urbana-Champaign, Urbana, IL, USA
Atmospheric, Climate, and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
Keith Oleson
Climate and Global Dynamics Laboratory, NSF National Center for Atmospheric Research, Boulder, CO, USA
Matthias Demuzere
B-Kode VOF, Ghent, Belgium
Xiaoping Liu
Guangdong Key Laboratory for Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
Yangzi Che
Guangdong Key Laboratory for Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
Guangdong Key Laboratory for Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
Yuyu Zhou
Department of Geography, The University of Hong Kong, 999077, Hong Kong SAR, China
Xinchang “Cathy” Li
Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
Viewed
Total article views: 7,437 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Oct 2024)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 5,141 | 1,621 | 675 | 7,437 | 543 | 96 | 137 |
- HTML: 5,141
- PDF: 1,621
- XML: 675
- Total: 7,437
- Supplement: 543
- BibTeX: 96
- EndNote: 137
Total article views: 4,620 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 21 May 2025)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 3,676 | 860 | 84 | 4,620 | 280 | 65 | 95 |
- HTML: 3,676
- PDF: 860
- XML: 84
- Total: 4,620
- Supplement: 280
- BibTeX: 65
- EndNote: 95
Total article views: 2,817 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Oct 2024)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,465 | 761 | 591 | 2,817 | 263 | 31 | 42 |
- HTML: 1,465
- PDF: 761
- XML: 591
- Total: 2,817
- Supplement: 263
- BibTeX: 31
- EndNote: 42
Viewed (geographical distribution)
Total article views: 7,437 (including HTML, PDF, and XML)
Thereof 7,243 with geography defined
and 194 with unknown origin.
Total article views: 4,620 (including HTML, PDF, and XML)
Thereof 4,491 with geography defined
and 129 with unknown origin.
Total article views: 2,817 (including HTML, PDF, and XML)
Thereof 2,752 with geography defined
and 65 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
11 citations as recorded by crossref.
- GloUCP: a global 1 km spatially continuous urban canopy parameters for the WRF model W. Liao et al.
- Urban population exposure to apparent temperature whiplash is projected to increase with global warming Y. Yang & R. Zhao
- Leveraging automated machine learning (AutoML) for urban climate emulation J. Yu et al.
- Dynamic parameterization of global land surface albedo components: Bare soil, non-photosynthetic vegetation, and photosynthetic vegetation A. Jia et al.
- Linking urban population exposure to heatwaves with land cover change across the UK Y. Sun et al.
- Wind tunnel study of wind flow over low- to high-rise building arrays using PIV and POD analysis Y. Zhang et al.
- Systematic evaluation of atmospheric forcing, surface datasets, and mesh effects on kilometer-scale land surface and river modeling L. Li et al.
- Correcting angular effects on MODIS LST in urban areas using an enhanced time-evolving parametric geometric model J. Qin et al.
- Study on parameter calibration of urban land surface models based on multi-objective bayesian optimization Q. Li et al.
- Analytical view factors in urban canopy models with trees: Model development and case study in Brooklyn, New York City C. Wang et al.
- Unraveling the intractable trilemma in urban weather and climate modeling P. Li et al.
11 citations as recorded by crossref.
- GloUCP: a global 1 km spatially continuous urban canopy parameters for the WRF model W. Liao et al.
- Urban population exposure to apparent temperature whiplash is projected to increase with global warming Y. Yang & R. Zhao
- Leveraging automated machine learning (AutoML) for urban climate emulation J. Yu et al.
- Dynamic parameterization of global land surface albedo components: Bare soil, non-photosynthetic vegetation, and photosynthetic vegetation A. Jia et al.
- Linking urban population exposure to heatwaves with land cover change across the UK Y. Sun et al.
- Wind tunnel study of wind flow over low- to high-rise building arrays using PIV and POD analysis Y. Zhang et al.
- Systematic evaluation of atmospheric forcing, surface datasets, and mesh effects on kilometer-scale land surface and river modeling L. Li et al.
- Correcting angular effects on MODIS LST in urban areas using an enhanced time-evolving parametric geometric model J. Qin et al.
- Study on parameter calibration of urban land surface models based on multi-objective bayesian optimization Q. Li et al.
- Analytical view factors in urban canopy models with trees: Model development and case study in Brooklyn, New York City C. Wang et al.
- Unraveling the intractable trilemma in urban weather and climate modeling P. Li et al.
Saved (final revised paper)
Latest update: 16 May 2026
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.
The absence of globally consistent and spatially continuous urban surface input has long...
Altmetrics
Final-revised paper
Preprint