Articles | Volume 16, issue 4
https://doi.org/10.5194/essd-16-2007-2024
https://doi.org/10.5194/essd-16-2007-2024
Data description paper
 | 
29 Apr 2024
Data description paper |  | 29 Apr 2024

Global 1 km land surface parameters for kilometer-scale Earth system modeling

Lingcheng Li, Gautam Bisht, Dalei Hao, and L. Ruby Leung

Related authors

Ecosystem leaf area, gross primary production, and evapotranspiration responses to wildfire in the Columbia River Basin
Mingjie Shi, Nate McDowell, Huilin Huang, Faria Zahura, Lingcheng Li, and Xingyuan Chen
EGUsphere, https://doi.org/10.22541/au.171053013.30286044/v2,https://doi.org/10.22541/au.171053013.30286044/v2, 2024
Short summary
Development of inter-grid-cell lateral unsaturated and saturated flow model in the E3SM Land Model (v2.0)
Han Qiu, Gautam Bisht, Lingcheng Li, Dalei Hao, and Donghui Xu
Geosci. Model Dev., 17, 143–167, https://doi.org/10.5194/gmd-17-143-2024,https://doi.org/10.5194/gmd-17-143-2024, 2024
Short summary
A machine learning approach targeting parameter estimation for plant functional type coexistence modeling using ELM-FATES (v2.0)
Lingcheng Li, Yilin Fang, Zhonghua Zheng, Mingjie Shi, Marcos Longo, Charles D. Koven, Jennifer A. Holm, Rosie A. Fisher, Nate G. McDowell, Jeffrey Chambers, and L. Ruby Leung
Geosci. Model Dev., 16, 4017–4040, https://doi.org/10.5194/gmd-16-4017-2023,https://doi.org/10.5194/gmd-16-4017-2023, 2023
Short summary
An ensemble of 48 physically perturbed model estimates of the 1∕8° terrestrial water budget over the conterminous United States, 1980–2015
Hui Zheng, Wenli Fei, Zong-Liang Yang, Jiangfeng Wei, Long Zhao, Lingcheng Li, and Shu Wang
Earth Syst. Sci. Data, 15, 2755–2780, https://doi.org/10.5194/essd-15-2755-2023,https://doi.org/10.5194/essd-15-2755-2023, 2023
Short summary
Spatial heterogeneity effects on land surface modeling of water and energy partitioning
Lingcheng Li, Gautam Bisht, and L. Ruby Leung
Geosci. Model Dev., 15, 5489–5510, https://doi.org/10.5194/gmd-15-5489-2022,https://doi.org/10.5194/gmd-15-5489-2022, 2022
Short summary

Related subject area

Domain: ESSD – Land | Subject: Land Cover and Land Use
Aboveground biomass dataset from SMOS L-band vegetation optical depth and reference maps
Simon Boitard, Arnaud Mialon, Stéphane Mermoz, Nemesio J. Rodríguez-Fernández, Philippe Richaume, Julio César Salazar-Neira, Stéphane Tarot, and Yann H. Kerr
Earth Syst. Sci. Data, 17, 1101–1119, https://doi.org/10.5194/essd-17-1101-2025,https://doi.org/10.5194/essd-17-1101-2025, 2025
Short summary
GMIE: a global maximum irrigation extent and central pivot irrigation system dataset derived via irrigation performance during drought stress and deep learning methods
Fuyou Tian, Bingfang Wu, Hongwei Zeng, Miao Zhang, Weiwei Zhu, Nana Yan, Yuming Lu, and Yifan Li
Earth Syst. Sci. Data, 17, 855–880, https://doi.org/10.5194/essd-17-855-2025,https://doi.org/10.5194/essd-17-855-2025, 2025
Short summary
Annual vegetation maps in the Qinghai–Tibet Plateau (QTP) from 2000 to 2022 based on MODIS series satellite imagery
Guangsheng Zhou, Hongrui Ren, Lei Zhang, Xiaomin Lv, and Mengzi Zhou
Earth Syst. Sci. Data, 17, 773–797, https://doi.org/10.5194/essd-17-773-2025,https://doi.org/10.5194/essd-17-773-2025, 2025
Short summary
Time series of Landsat-based bimonthly and annual spectral indices for continental Europe for 2000–2022
Xuemeng Tian, Davide Consoli, Martijn Witjes, Florian Schneider, Leandro Parente, Murat Şahin, Yu-Feng Ho, Robert Minařík, and Tomislav Hengl
Earth Syst. Sci. Data, 17, 741–772, https://doi.org/10.5194/essd-17-741-2025,https://doi.org/10.5194/essd-17-741-2025, 2025
Short summary
EARice10: a 10 m resolution annual rice distribution map of East Asia for 2023
Mingyang Song, Lu Xu, Ji Ge, Hong Zhang, Lijun Zuo, Jingling Jiang, Yinhaibin Ding, Yazhe Xie, and Fan Wu
Earth Syst. Sci. Data, 17, 661–683, https://doi.org/10.5194/essd-17-661-2025,https://doi.org/10.5194/essd-17-661-2025, 2025
Short summary

Cited articles

Baker, I. T., Denning, A. S., Dazlich, D. A., Harper, A. B., Branson, M. D., Randall, D. A., Phillips, M. C., Haynes, K. D., and Gallup, S. M.: Surface-Atmosphere Coupling Scale, the Fate of Water, and Ecophysiological Function in a Brazilian Forest, J. Adv. Model. Earth Syst., 11, 2523–2546, https://doi.org/10.1029/2019ms001650, 2019.  
Batjes, N. H.: ISRIC-WISE derived soil properties on a 5 by 5 arc-minutes global grid, Report 2006/02, ISRIC, http://www.isric.org (last access: 6 June 2023), 2006. 
Beck, H. E., Pan, M., Miralles, D. G., Reichle, R. H., Dorigo, W. A., Hahn, S., Sheffield, J., Karthikeyan, L., Balsamo, G., Parinussa, R. M., van Dijk, A. I. J. M., Du, J., Kimball, J. S., Vergopolan, N., and Wood, E. F.: Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors, Hydrol. Earth Syst. Sci., 25, 17–40, https://doi.org/10.5194/hess-25-17-2021, 2022. 
Beck, H. E., Van Dijk, A. I., Larraondo, P. R., McVicar, T. R., Pan, M., Dutra, E., and Miralles, D. G.: MSWX: Global 3-hourly 0.1 bias-corrected meteorological data including near-real-time updates and forecast ensembles, B. Am. Meteorol. Soc., 103, E710–E732, https://doi.org/10.1175/BAMS-D-21-0145.1, 2022. 
Download
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.
Share
Altmetrics
Final-revised paper
Preprint