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Peer-reviewed

A Global High‐Resolution Data Set of Soil Hydraulic and Thermal Properties for Land Surface Modeling

Yongjiu Dai, Qinchuan Xin, Nan Wei, Yonggen Zhang, Wei Shangguan, Hua Yuan, Shupeng Zhang, Shaofeng Liu, Xingjie Lu

Journal of Advances in Modeling Earth Systems · 2019

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Summary

Abstract Modeling land surface processes requires complete and reliable soil property information to understand soil hydraulic and heat dynamics and related processes, but currently, there is no data set of soil hydraulic and thermal parameters that can meet this demand for global use. In this study, we propose a fitting approach to obtain the optimal soil water retention parameters from ensemble pedotransfer functions (PTFs), which are evaluated using the global coverage National Cooperative Soil Survey Characterization Database and show better performance for global applications than our original ensemble estimations (median values of PTFs) as done in Dai et al. (2013, https://doi.org/10.1175/JHM‐D‐12‐0149.1 ). Soil hydraulic conductivities are still estimated as the median values of mul

Source type
Peer-reviewed study
DOI
10.1029/2019ms001784
Catalogue ID
SNmokeh5dw-d8srls
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