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
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21 citations as recorded by crossref.
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- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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: 21 Jul 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...
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