Development of a china dataset of soil hydraulic parameters using pedotransfer functions for land surface modeling

Yongjiu Dai, Wei Shangguan, Qingyun Duan, Baoyuan Liu, Suhua Fu, Guoyue Niu

Research output: Contribution to journalArticlepeer-review

92 Scopus citations

Abstract

The objective of this study is to develop a dataset of the soil hydraulic parametersassociated with two empirical soil functions (i.e., a water retention curve and hydraulicconductivity) using multiple pedotransfer functions (PTFs). The dataset is designed specifically for regional land surface modeling for China. The authors selected 5 PTFs to derive the parameters in the Clapp and Hornberger functions and the van Genuchten and Mualemfunctions and 10 PTFs for soil water contents at capillary pressures of 33 and 1500 kPa. The inputs into the PTFs include soil particle size distribution, bulk density, and soil organic matter. The dataset provides 12 estimated parameters and their associated statistical values. The dataset is available at a 30 3 30 arc second geographical spatial resolution and with seven vertical layers to the depth of 1.38 m. The dataset has several distinct advantages even though the accuracy is unknown for lack of in situ and regional measurements. First, this dataset utilizes the best available soil characteristics dataset forChina. The Chinese soil characteristics dataset was derived by using the 1:1 000 000 SoilMap of China and 8595 representative soil profiles. Second, this dataset represents the first attempt to estimate soil hydraulic parameters using PTFs directly for continental China at a high spatial resolution. Therefore, this dataset should capture spatial heterogeneity better than existing estimates based on lookup tables according to soil textureclasses. Third, the authors derived soil hydraulic parameters using multiple PTFs to allow flexibility for data users to use the soil hydraulic parameters most preferable to or suitable for their applications.

Original languageEnglish (US)
Pages (from-to)869-887
Number of pages19
JournalJournal of Hydrometeorology
Volume14
Issue number3
DOIs
StatePublished - Aug 20 2013

ASJC Scopus subject areas

  • Atmospheric Science

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