Articles | Volume 18, issue 1
https://doi.org/10.5194/essd-18-97-2026
https://doi.org/10.5194/essd-18-97-2026
Data description paper
 | 
06 Jan 2026
Data description paper |  | 06 Jan 2026

Spatially adaptive estimation of multi-layer soil temperature at a daily time-step across China during 2010–2020

Xuetong Wang, Liang He, Peng Li, Jiageng Ma, Yu Shi, Qi Tian, Gang Zhao, Jianqiang He, Hao Feng, Hao Shi, and Qiang Yu

Related authors

Characteristics of potential evapotranspiration and its estimation from hydrological observation in the Budyko framework
Changwu Cheng, Wenzhao Liu, Rui Chen, Zhaotao Mu, Haixiang Zhou, Xiaoyang Han, Zhi Li, and Hao Feng
EGUsphere, https://doi.org/10.5194/egusphere-2025-5898,https://doi.org/10.5194/egusphere-2025-5898, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
Short summary
History of anthropogenic Phosphorus inputs (HaPi) to the terrestrial biosphere from 1860 to 2020
Zihao Bian, Hao Shi, Rui Li, Fei Lun, Francesco Tubiello, Nathaniel Mueller, Shiyu You, Rong Hao, Jiageng Ma, Longhui Li, Changchun Huang, Bing He, Yuanzhi Yao, and Hanqin Tian
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-507,https://doi.org/10.5194/essd-2025-507, 2025
Preprint under review for ESSD
Short summary
Best practices in software development for robust and reproducible geoscientific models based on insights from the Global Carbon Project models
Konstantin Gregor, Benjamin F. Meyer, Tillmann Gaida, Victor Justo Vasquez, Karina Bett-Williams, Matthew Forrest, João P. Darela-Filho, Sam Rabin, Marcos Longo, Joe R. Melton, Johan Nord, Peter Anthoni, Vladislav Bastrikov, Thomas Colligan, Christine Delire, Michael C. Dietze, George Hurtt, Akihiko Ito, Lasse T. Keetz, Jürgen Knauer, Johannes Köster, Tzu-Shun Lin, Lei Ma, Marie Minvielle, Stefan Olin, Sebastian Ostberg, Hao Shi, Reiner Schnur, Urs Schönenberger, Qing Sun, Peter E. Thornton, and Anja Rammig
EGUsphere, https://doi.org/10.5194/egusphere-2025-1733,https://doi.org/10.5194/egusphere-2025-1733, 2025
Short summary
PMF-LP: the first 10 m plastic-mulched farmland distribution map (2019–2021) in the Loess Plateau of China generated using training sample generation and classifier transfer method
Cheng Zhao, Yadong Luo, Xiangyu Chen, Linsen Wu, Zhao Wang, Hao Feng, Qiang Yu, and Jianqiang He
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-372,https://doi.org/10.5194/essd-2024-372, 2024
Preprint withdrawn
Short summary
Global nitrous oxide budget (1980–2020)
Hanqin Tian, Naiqing Pan, Rona L. Thompson, Josep G. Canadell, Parvadha Suntharalingam, Pierre Regnier, Eric A. Davidson, Michael Prather, Philippe Ciais, Marilena Muntean, Shufen Pan, Wilfried Winiwarter, Sönke Zaehle, Feng Zhou, Robert B. Jackson, Hermann W. Bange, Sarah Berthet, Zihao Bian, Daniele Bianchi, Alexander F. Bouwman, Erik T. Buitenhuis, Geoffrey Dutton, Minpeng Hu, Akihiko Ito, Atul K. Jain, Aurich Jeltsch-Thömmes, Fortunat Joos, Sian Kou-Giesbrecht, Paul B. Krummel, Xin Lan, Angela Landolfi, Ronny Lauerwald, Ya Li, Chaoqun Lu, Taylor Maavara, Manfredi Manizza, Dylan B. Millet, Jens Mühle, Prabir K. Patra, Glen P. Peters, Xiaoyu Qin, Peter Raymond, Laure Resplandy, Judith A. Rosentreter, Hao Shi, Qing Sun, Daniele Tonina, Francesco N. Tubiello, Guido R. van der Werf, Nicolas Vuichard, Junjie Wang, Kelley C. Wells, Luke M. Western, Chris Wilson, Jia Yang, Yuanzhi Yao, Yongfa You, and Qing Zhu
Earth Syst. Sci. Data, 16, 2543–2604, https://doi.org/10.5194/essd-16-2543-2024,https://doi.org/10.5194/essd-16-2543-2024, 2024
Short summary

Cited articles

Abu-Hamdeh, N. H.: Thermal properties of soils as affected by density and water content, Biosyst. Eng., 86, 97–102, 2003. 
Akinwande, M. O., Dikko, H. G., and Samson, A.: Variance inflation factor: As a condition for the inclusion of suppressor variable(s) in regression analysis, Open J. Stat., 5, 754–767, https://doi.org/10.4236/ojs.2015.57075, 2015. 
Badache, M., Eslami-Nejad, P., Ouzzane, M., Aidoun, Z., and Lamarche, L.: A new modeling approach for improved ground temperature profile determination, Renew. Energy, 85, 436–444, https://doi.org/10.1016/j.renene.2015.06.020, 2016. 
Bayatvarkeshi, M., Bhagat, S. K., Mohammadi, K., Kisi, O., Farahani, M., Hasani, A., Deo, R., and Yaseen, Z. M.: Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models, Comput. Electron. Agric., 185, 106158, https://doi.org/10.1016/j.compag.2021.106158, 2021. 
Bond-Lamberty, B., Wang, C., and Gower, S. T.: Spatiotemporal measurement and modeling of stand-level boreal forest soil temperatures, Agric. For. Meteorol., 131, 27–40, https://doi.org/10.1016/j.agrformet.2005.04.008, 2005. 
Download
Short summary

This study integrates ground observations, satellite remote sensing, and reanalysis data, applying machine learning techniques to generate a high-resolution, daily multi-layer soil temperature dataset in China  from 2010 to 2020. The dataset accurately captures the spatiotemporal variations in soil temperature at multiple depths, offering valuable scientific insights for agricultural management and ecological research.

Share
Altmetrics
Final-revised paper
Preprint