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<p>The black soil region of China is one of the four major black soil regions in the world and is an important grain production base. High-accuracy soil moisture data are therefore crucial for understanding the mechanisms of drought and waterlogging on crop yields. Here, we present a 16 years (2008–2023) soil moisture dataset (DMSN) with both high spatiotemporal resolution and multi-layer spatiotemporal consistency (2 km, daily, 0–10, 10–20, 20–50, 50–100 cm),using Community Land Model 3.5 (CLM3.5). The DMSM showed excellent performance, with validation at seven field monitoring sites in the black soil region, the correlation coefficient (R) was generally greater than 0.7, the RMSE varied between 0.035 and 0.07, the MAE ranged from 0.03 to 0.06, and the bias remained between −0.02 and 0.02. The DMSM effectively captured daily, inter-annual, and seasonal soil moisture variations, providing important insights into soil moisture dynamics in this critical black soil region. These results help in understanding the potential drivers of drought and waterlogging and their impact on crop yields.</p>

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Generating high accuracy multi-layer soil moisture at daily scale in the black soil region of China

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年10月28日

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  • Liwen Chen,
  • Yangguang Wang,
  • Jingquan Ren,
  • Haiqing Song,
  • Guangxin Zhang,
  • Jingxuan Sun,
  • Lijun Wang,
  • Jia Mu,
  • Cong Liu,
  • Meiyu Wang

摘要

The black soil region of China is one of the four major black soil regions in the world and is an important grain production base. High-accuracy soil moisture data are therefore crucial for understanding the mechanisms of drought and waterlogging on crop yields. Here, we present a 16 years (2008–2023) soil moisture dataset (DMSN) with both high spatiotemporal resolution and multi-layer spatiotemporal consistency (2 km, daily, 0–10, 10–20, 20–50, 50–100 cm),using Community Land Model 3.5 (CLM3.5). The DMSM showed excellent performance, with validation at seven field monitoring sites in the black soil region, the correlation coefficient (R) was generally greater than 0.7, the RMSE varied between 0.035 and 0.07, the MAE ranged from 0.03 to 0.06, and the bias remained between −0.02 and 0.02. The DMSM effectively captured daily, inter-annual, and seasonal soil moisture variations, providing important insights into soil moisture dynamics in this critical black soil region. These results help in understanding the potential drivers of drought and waterlogging and their impact on crop yields.