Preprints
https://doi.org/10.5194/essd-2022-21
https://doi.org/10.5194/essd-2022-21
 
28 Jan 2022
28 Jan 2022
Status: a revised version of this preprint is currently under review for the journal ESSD.

An in situ observation dataset of soil hydraulic properties and soil moisture in a high and cold mountainous area on the northeastern Qinghai-Tibet Plateau

Jie Tian1, Baoqing Zhang1, Xuejin Wang1, and Chansheng He1,2 Jie Tian et al.
  • 1Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, Gansu 730000, China
  • 2Department of Geography, Western Michigan University, Kalamazoo, MI 49008, USA

Abstract. Soil hydraulic properties (SHPs) and soil moisture (SM) are fundamental to describing and predicting water and energy cycles at the land surface, and for regulating evapotranspiration, infiltration and runoff. However, information about these soil properties from existing datasets is often scarce and inaccurate for high and cold mountainous areas such as the Qinghai-Tibet Plateau (QTP), which hampers our understanding of hydrological and energy cycle processes over large mountainous areas like the QTP. Based on soil profile data at depths of 5 cm and 25 cm from 238 sampling sites, and on soil data from 32 SM monitoring stations at depths of 5 cm, 15 cm, 25 cm, 40 cm, and 60 cm, we have compiled a SHP and SM dataset for a high and cold mountainous area, Northeastern QTP. We used this dataset to explore the large-scale spatial and temporal variability of SHPs and of SM across the study area. Our evaluation of several existing SHP datasets, SM datasets derived from remote-sensing, reanalysis and data assimilation, showed that SHPs (soil texture, bulk density, and soil saturated hydraulic conductivity) in these datasets are biased, and do not capture the spatial variability recorded in the in-situ observations. When comparing with the in-situ SM observations, the SM product derived from remote-sensing was more reliable than the SM product derived from reanalysis data (which had a higher bias), and than the data assimilation product (which did not capture SM temporal variability). The in situ observation dataset presented here provides unique and important information about the SHP variability and long-term SM trends at a large-scale, high and cold mountainous area, and thus offers opportunity for further understanding of water cycle and energy exchange processes over the QTP.

Jie Tian et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-21', Anonymous Referee #1, 14 Feb 2022
    • AC1: 'Reply on RC1', Chansheng He, 22 Feb 2022
  • RC2: 'Comment on essd-2022-21', Anonymous Referee #2, 04 Mar 2022
    • AC2: 'Reply on RC2', Chansheng He, 15 Mar 2022
  • RC3: 'Comment on essd-2022-21', Anonymous Referee #3, 24 Apr 2022
    • AC3: 'Reply on RC3', Chansheng He, 04 May 2022
  • RC4: 'Comment on essd-2022-21', Anonymous Referee #4, 04 May 2022
    • AC4: 'Reply on RC4', Chansheng He, 14 May 2022

Jie Tian et al.

Data sets

An in situ observation datset of soil hydraulic properties and soil moisture in a high and cold mountainous area on the northeastern Qinghai-Tibet Plateau Chansheng, He; Jie, Tian; Xuejing, Wang; Lanhui, Zhang; Baoqing, Zhang; Yibo, Wang https://doi.org/10.5281/zenodo.5830583

Jie Tian et al.

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Short summary
Based on soil profile data at depths of 5 cm and 25 cm from 238 sampling sites, and on soil data from 32 soil moisture (SM) stations at depths of 5 cm, 15 cm, 25 cm, 40 cm, and 60 cm, we compiled a soil hydraulic properties (SHP) and SM dataset for a mountainous area, Northeastern QTP. The dataset provides information about SHP variability and SM trends at a large-scale mountainous area, thus offers opportunity for further understanding of water and energy processes over the QTP.