A global dataset of average specific yield for soils

Specific yield (S<sub>y</sub>) stands as a critical parameter and a significant source of error in groundwater simulations. However, there is still a lack of reliable global S<sub>y</sub> datasets. Based on the trilinear graph of S<sub>y</sub> and soil textures, we develop a comprehensive global dataset of gridded average specific yield (GASY) aimed for various soil textures, which are obtained from the Global Soil Dataset for Earth System Models, the SoilGrids product, and the Harmonized World Soil Database. Validations with existing S<sub>y</sub> values estimated by laboratory and field methods across different S<sub>y</sub> concepts, at the aquifer-scale to global-scale, compellingly revealed that the GASY effectively represents reliable average S<sub>y</sub> for each soil texture. The depth limitation (~2 m) of GASY is attributed to the depth limitations of soil texture data, and readers can expand the GASY into deeper soils by reasonably assuming a vertical variation of soil texture with depth. The GASY holds great benefits for future modeling of groundwater dynamics and understanding the groundwater resources distribution and mitigation of climate change impacts.

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Publication Details

Journal
Scientific Data
Published
2025-03-12
DOI
https://doi.org/10.1038/s41597-025-04742-1
Citations
3
Primary Topic
Soil and Unsaturated Flow
Type
article
Field-Weighted Citation Impact
2.86
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article

A global dataset of average specific yield for soils

Meixia Lv, Yuanyuan Zha, Zong‐Liang Yang, Lei Wang et al.
3 citations
Scientific Data
Soil and Unsaturated Flow
2.86
article

A global dataset of average specific yield for soils

Meixia Lv, Yuanyuan Zha, Zong‐Liang Yang, Lei Wang, Meizhao Lv
article en
3 citations

Abstract

Specific yield (S<sub>y</sub>) stands as a critical parameter and a significant source of error in groundwater simulations. However, there is still a lack of reliable global S<sub>y</sub> datasets. Based on the trilinear graph of S<sub>y</sub> and soil textures, we develop a comprehensive global dataset of gridded average specific yield (GASY) aimed for various soil textures, which are obtained from the Global Soil Dataset for Earth System Models, the SoilGrids product, and the Harmonized World Soil Database. Validations with existing S<sub>y</sub> values estimated by laboratory and field methods across different S<sub>y</sub> concepts, at the aquifer-scale to global-scale, compellingly revealed that the GASY effectively represents reliable average S<sub>y</sub> for each soil texture. The depth limitation (~2 m) of GASY is attributed to the depth limitations of soil texture data, and readers can expand the GASY into deeper soils by reasonably assuming a vertical variation of soil texture with depth. The GASY holds great benefits for future modeling of groundwater dynamics and understanding the groundwater resources distribution and mitigation of climate change impacts.

Scientific DataVol. 12(1)
Chinese Academy of Sciences (CN), Wuhan University (CN), Institute of Tibetan Plateau Research (CN), Institute of Atmospheric Physics (CN), University of Chinese Academy of Sciences (CN), The University of Texas at Austin (US)
Clean water and sanitation
Openalex Percentile: Top 11%
Soil and Unsaturated Flow
2.86
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A global dataset of average specific yield for soils — Meixia Lv, Yuanyuan Zha, et al. · Scientific Data (2025) | TGRS Research Map | TGRS