Articles | Volume 16, issue 4
https://doi.org/10.5194/essd-16-2007-2024
© Author(s) 2024. 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-16-2007-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
29 Apr 2024
Data description article |
| 29 Apr 2024
| 29 Apr 2024
Global 1 km land surface parameters for kilometer-scale Earth system modeling
Atmospheric, Climate, and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
Atmospheric, Climate, and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
Dalei Hao
Atmospheric, Climate, and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
L. Ruby Leung
Atmospheric, Climate, and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
Viewed
Total article views: 9,257 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Jul 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 6,500 | 2,527 | 230 | 9,257 | 728 | 236 | 325 |
- HTML: 6,500
- PDF: 2,527
- XML: 230
- Total: 9,257
- Supplement: 728
- BibTeX: 236
- EndNote: 325
Total article views: 6,790 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Apr 2024)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 5,196 | 1,423 | 171 | 6,790 | 475 | 175 | 266 |
- HTML: 5,196
- PDF: 1,423
- XML: 171
- Total: 6,790
- Supplement: 475
- BibTeX: 175
- EndNote: 266
Total article views: 2,467 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Jul 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,304 | 1,104 | 59 | 2,467 | 253 | 61 | 59 |
- HTML: 1,304
- PDF: 1,104
- XML: 59
- Total: 2,467
- Supplement: 253
- BibTeX: 61
- EndNote: 59
Viewed (geographical distribution)
Total article views: 9,257 (including HTML, PDF, and XML)
Thereof 9,037 with geography defined
and 220 with unknown origin.
Total article views: 6,790 (including HTML, PDF, and XML)
Thereof 6,639 with geography defined
and 151 with unknown origin.
Total article views: 2,467 (including HTML, PDF, and XML)
Thereof 2,398 with geography defined
and 69 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
26 citations as recorded by crossref.
- Community-centered instrumentation and monitoring of nature-based solutions for urban stormwater control C. O’Brien et al. https://doi.org/10.3389/frwa.2024.1370501
- A global 500 m dataset of tree crown morphology to advance vegetation modeling and management J. Xiang et al. https://doi.org/10.1016/j.jag.2026.105401
- Disentangling atmospheric, hydrological, and coupling uncertainties in compound flood modeling within a coupled Earth system model D. Feng et al. https://doi.org/10.5194/nhess-25-3619-2025
- Toward precise carbon management: current status, gaps and future directions F. Wei et al. https://doi.org/10.1007/s11707-025-1205-7
- GloUCP: a global 1 km spatially continuous urban canopy parameters for the WRF model W. Liao et al. https://doi.org/10.5194/essd-17-2535-2025
- Dynamic parameterization of global land surface albedo components: Bare soil, non-photosynthetic vegetation, and photosynthetic vegetation A. Jia et al. https://doi.org/10.1016/j.rse.2025.114943
- Developing mobility zones based on heat exposure and vegetation condition: a tale of two transportation modes P. Wang et al. https://doi.org/10.1080/17538947.2025.2552878
- A dynamic OPTRAM soil moisture constraint for PT-JPL evapotranspiration from Sentinel-2 validated across land covers and climates A. Liblab et al. https://doi.org/10.1016/j.agrformet.2026.111375
- High resolution modelling of temporal and spatial dynamics in soil conditions in subarctic Finland using HydroBlocks model E. Kokko et al. https://doi.org/10.5194/hess-30-5049-2026
- Systematic evaluation of atmospheric forcing, surface datasets, and mesh effects on kilometer-scale land surface and river modeling L. Li et al. https://doi.org/10.1016/j.jhydrol.2026.135500
- Phenology and snow penman evapotranspiration model: development, validation, and products H. Cai & K. Wang https://doi.org/10.1016/j.jhydrol.2026.136223
- Multi-scale remote sensing monitoring of aboveground vegetation carbon storage in long-distance expressways X. Lian et al. https://doi.org/10.1186/s13021-026-00454-0
- AI4Land: A Scalable Deep Learning Framework on MareNostrum5 for Global High-Resolution Land Use Reconstruction A. Mozaffari et al. https://doi.org/10.1016/j.procs.2026.08.027
- A review of phase-transition representation in permafrost land surface models: Mechanisms, algorithms, and impacts S. Wang et al. https://doi.org/10.1016/j.earscirev.2026.105681
- Influence of plateau, slope, and valley on soil hydrology during the dry season in a Central Amazon old‐growth forest R. Negron‐Juarez et al. https://doi.org/10.1002/vzj2.70095
- Direct and indirect effects of climatic factors on ecosystem carbon and water fluxes and water use efficiency across different climatic zones in China W. Zhao et al. https://doi.org/10.1016/j.ecolind.2025.113565
- WRF-ELM v1.0: a regional climate model to study land–atmosphere interactions over heterogeneous land use regions H. Huang et al. https://doi.org/10.5194/gmd-18-1427-2025
- Quantification of soil water content by machine learning using enhanced high-resolution ERT F. Meng et al. https://doi.org/10.1016/j.jhydrol.2024.131994
- Refining water and carbon fluxes modeling in terrestrial ecosystems via plant hydraulics integration S. Sun et al. https://doi.org/10.1016/j.agrformet.2024.110256
- Uncovering the impact mechanism and spatiotemporal evolution between farmland ecosystem health and optimal crop patterns K. Xu et al. https://doi.org/10.1016/j.jclepro.2025.144959
- On the importance of both climate and vegetation evolution when predicting long-term wildfire susceptibility F. Ren et al. https://doi.org/10.1071/WF25092
- Integration of Sentinel-1 and -2 imagery through advanced cloud computing improves hillside vineyard soil moisture analysis F. Faridani et al. https://doi.org/10.1016/j.agwat.2025.109541
- Benchmarking and evaluating the NASA Land Information System (version 7.5.2) coupled with the refactored Noah-MP land surface model (version 5.0) C. He et al. https://doi.org/10.5194/gmd-18-8439-2025
- 3D-GloBFP: the first global three-dimensional building footprint dataset Y. Che et al. https://doi.org/10.5194/essd-16-5357-2024
- A global perspective on the spatial representation of climate extremes from km-scale models L. Brunner et al. https://doi.org/10.1088/1748-9326/ade1ef
- Enhancing SWAT with mechanistic plant hydraulics: development and application in the Hanjiang River Basin X. Wei et al. https://doi.org/10.1016/j.jhydrol.2026.135066
26 citations as recorded by crossref.
- Community-centered instrumentation and monitoring of nature-based solutions for urban stormwater control C. O’Brien et al. https://doi.org/10.3389/frwa.2024.1370501
- A global 500 m dataset of tree crown morphology to advance vegetation modeling and management J. Xiang et al. https://doi.org/10.1016/j.jag.2026.105401
- Disentangling atmospheric, hydrological, and coupling uncertainties in compound flood modeling within a coupled Earth system model D. Feng et al. https://doi.org/10.5194/nhess-25-3619-2025
- Toward precise carbon management: current status, gaps and future directions F. Wei et al. https://doi.org/10.1007/s11707-025-1205-7
- GloUCP: a global 1 km spatially continuous urban canopy parameters for the WRF model W. Liao et al. https://doi.org/10.5194/essd-17-2535-2025
- Dynamic parameterization of global land surface albedo components: Bare soil, non-photosynthetic vegetation, and photosynthetic vegetation A. Jia et al. https://doi.org/10.1016/j.rse.2025.114943
- Developing mobility zones based on heat exposure and vegetation condition: a tale of two transportation modes P. Wang et al. https://doi.org/10.1080/17538947.2025.2552878
- A dynamic OPTRAM soil moisture constraint for PT-JPL evapotranspiration from Sentinel-2 validated across land covers and climates A. Liblab et al. https://doi.org/10.1016/j.agrformet.2026.111375
- High resolution modelling of temporal and spatial dynamics in soil conditions in subarctic Finland using HydroBlocks model E. Kokko et al. https://doi.org/10.5194/hess-30-5049-2026
- Systematic evaluation of atmospheric forcing, surface datasets, and mesh effects on kilometer-scale land surface and river modeling L. Li et al. https://doi.org/10.1016/j.jhydrol.2026.135500
- Phenology and snow penman evapotranspiration model: development, validation, and products H. Cai & K. Wang https://doi.org/10.1016/j.jhydrol.2026.136223
- Multi-scale remote sensing monitoring of aboveground vegetation carbon storage in long-distance expressways X. Lian et al. https://doi.org/10.1186/s13021-026-00454-0
- AI4Land: A Scalable Deep Learning Framework on MareNostrum5 for Global High-Resolution Land Use Reconstruction A. Mozaffari et al. https://doi.org/10.1016/j.procs.2026.08.027
- A review of phase-transition representation in permafrost land surface models: Mechanisms, algorithms, and impacts S. Wang et al. https://doi.org/10.1016/j.earscirev.2026.105681
- Influence of plateau, slope, and valley on soil hydrology during the dry season in a Central Amazon old‐growth forest R. Negron‐Juarez et al. https://doi.org/10.1002/vzj2.70095
- Direct and indirect effects of climatic factors on ecosystem carbon and water fluxes and water use efficiency across different climatic zones in China W. Zhao et al. https://doi.org/10.1016/j.ecolind.2025.113565
- WRF-ELM v1.0: a regional climate model to study land–atmosphere interactions over heterogeneous land use regions H. Huang et al. https://doi.org/10.5194/gmd-18-1427-2025
- Quantification of soil water content by machine learning using enhanced high-resolution ERT F. Meng et al. https://doi.org/10.1016/j.jhydrol.2024.131994
- Refining water and carbon fluxes modeling in terrestrial ecosystems via plant hydraulics integration S. Sun et al. https://doi.org/10.1016/j.agrformet.2024.110256
- Uncovering the impact mechanism and spatiotemporal evolution between farmland ecosystem health and optimal crop patterns K. Xu et al. https://doi.org/10.1016/j.jclepro.2025.144959
- On the importance of both climate and vegetation evolution when predicting long-term wildfire susceptibility F. Ren et al. https://doi.org/10.1071/WF25092
- Integration of Sentinel-1 and -2 imagery through advanced cloud computing improves hillside vineyard soil moisture analysis F. Faridani et al. https://doi.org/10.1016/j.agwat.2025.109541
- Benchmarking and evaluating the NASA Land Information System (version 7.5.2) coupled with the refactored Noah-MP land surface model (version 5.0) C. He et al. https://doi.org/10.5194/gmd-18-8439-2025
- 3D-GloBFP: the first global three-dimensional building footprint dataset Y. Che et al. https://doi.org/10.5194/essd-16-5357-2024
- A global perspective on the spatial representation of climate extremes from km-scale models L. Brunner et al. https://doi.org/10.1088/1748-9326/ade1ef
- Enhancing SWAT with mechanistic plant hydraulics: development and application in the Hanjiang River Basin X. Wei et al. https://doi.org/10.1016/j.jhydrol.2026.135066
Saved (final revised paper)
Latest update: 19 Sep 2026
Short summary
This study fills a gap to meet the emerging needs of kilometer-scale Earth system modeling by developing global 1 km land surface parameters for land use, vegetation, soil, and topography. Our demonstration simulations highlight the substantial impacts of these parameters on spatial variability and information loss in water and energy simulations. Using advanced explainable machine learning methods, we identified influential factors driving spatial variability and information loss.
This study fills a gap to meet the emerging needs of kilometer-scale Earth system modeling by...
Altmetrics
Final-revised paper
Preprint