A new version of the global high-resolution dataset of soil hydraulic and thermal parameters for land surface modelingIntroduction
A newly developed global dataset of soil hydraulic and thermal parameters using multiple Pedotransfer Functions (PTFs) that are widely cited or recently developed is provided for Land Surface Modeling.
The dataset consists of two sets of parameters derived respectively from the Global Soil Dataset for Earth System Models (GSDE) [Shangguan et al., 2014] and SoilGrids [Hengl et al., 2014, 2017] databases. The published variables are listed in the table below. These variables are all provided at the spatial resolution of 30" ranging from 90oN to 90oS, 180oW to 180oE, with four sets of vertical profiles available [i.e., as vertical resolutions of SoilGrids (0 - 0.05 m, 0.05 - 0.15 m, 0.15 - 0.30 m, 0.30 - 0.60 m, 0.60 - 1.00 m, and 1.00 - 2.00 m), Noah-LSM (0 - 0.1 m, 0.1 - 0.4 m, 0.4 - 1.0 m, and 1.0 - 2.0 m), JULES (0 - 0.1 m, 0.1 - 0.35 m, 0.35 - 1.0 m, and 1.0 - 3.0 m) and CoLM/CLM (0 - 0.0451 m, 0.0451 - 0.0906 m, 0.0906 - 0.1655 m, 0.1655 - 0.2891 m, 0.2891 - 0.4929 m, 0.4929 - 0.8289 m, 0.8289 - 1.3828 m, 1.3828 - 3.8019 m)]. The dataset is currently stored in the binary format.
The soil water retention parameters, based on the Campbell  and van Genuchten  (hereafter VG) models, are obtained from a fitting method to find the optimal water retention parameters from ensemble PTFs. The soil hydraulic conductivity is estimated as the median values of ensemble PTFs. The heat capacity of soil solids is calculated as the volumetric weighted average of the heat capacity of mineral soils, soil organic matters (SOM) and gravels. And the soil thermal conductivity is estimated following the models of Johansen  and Balland and Arp , with all the effects of soil constituents such as SOM and gravels considered.
The detailed information can be found in the following publications.Data citation
Dai, Y., N. Wei, H. Yuan, S. Zhang, W. Shangguan, S. Liu, and X. Lu (2019a), Evaluation of soil thermal conductivity schemes for use in land surface modelling, under review in J. Adv. Model. Earth System.
Dai, Y., Q. Xin, N. Wei, Y. Zhang, W. Shangguan, H. Yuan, S. Zhang, S. Liu, and X. Lu (2019b), A global high-resolution dataset of soil hydraulic and thermal properties for land surface modeling, J. Adv. Model. Earth System, accepted.Data download
The parameters derived from the GSDE can be downloaded currently in the following table, and those from SoilGrids will be published soon after the space for data storage is enlarged on our server.