文章基本信息

标题：Global Soil Hydraulic Properties dataset based on legacy site observations and robust parameterization
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作者：Surya Gupta ; andreas Papritz ; Peter Lehmann 等
期刊名称：Scientific Data
电子版ISSN：2052-4463
出版年度：2022
卷号：9
期号：1
页码：1-15
DOI：10.1038/s41597-022-01481-5
语种：English
出版社：Nature Publishing Group
摘要：the representation of land surface processes in hydrological and climatic models critically depends on the soil water characteristics curve (SWCC) that defnes the plant availability and water storage in the vadose zone . Despite the availability of SWCC datasets in the literature, signifcant eforts are required to harmonize reported data before SWCC parameters can be determined and implemented in modeling applications . In this work, a total of 15,259 SWCCs from 2,702 sites were assembled from published literature, harmonized, and quality-checked . The assembled SWCC data provide a global soil hydraulic properties (GSHP) database. Parameters of the van Genuchten (vG) SWCC model were estimated from the data using the R package ‘soilhypft’. In many cases, information on the wet- or dry-end of the SWCC measurements were missing, and we used pedotransfer functions (PtFs) to estimate saturated and residual water contents . The new database quantifes the diferences of SWCCs across climatic regions and can be used to create global maps of soil hydraulic properties.