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Global Scale
Data Details

Root Zone (0–100 cm) Soil Moisture 0.25°/daily Dataset over China (2018-2021)


TIAN Jing1
1 Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences，Beijing 100101，China

DOI:10.3974/geodb.2025.08.08.V1

Published:Aug. 2025

Visitors：68       Data Files Downloaded：0      
Data Downloaded： 无      Citations：

Key Words：

root zone soil moisture,Triangle Cap Histogram,data fusion,

Abstract：

Root zone soil moisture (RZSM) is a key variable linking surface water cycle processes with vegetation eco-physiological functions, and plays an important role in medium- to long-term drought monitoring and agricultural meteorological assessments. In this study, RZSM daily data from 2 land surface models and 3 reanalysis datasets were integrated using the Triangle Cap Histogram (TCH) method, generating a fused RZSM dataset for China at 0-100 cm depth during 2018-2021. The dataset has a daily temporal resolution and a spatial resolution of 0.25 degree, is archived in .tif format, and covers the entire China’s region. Validation using observations from 2,061 soil moisture monitoring stations across China shows that the median RMSE is 0.077 m3/m3, the median correlation coefficient (r) is 0.5, the peak Bias is close to 0, and the median ubRMSE is 0.04 m3/m3. These results indicate that the dataset has good reliability and applicability, and can provide valuable data support for regional drought monitoring and eco-hydrological studies. The dataset is archived in .tif format, and consists of 1461 data files with data size of 104 MB (compressed into one file with 99.4 MB).

Foundation Item：

National Natural Science Foundation of China (42071327)

Data Citation：

TIAN Jing. Root Zone (0–100 cm) Soil Moisture 0.25°/daily Dataset over China (2018-2021)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2025. https://doi.org/10.3974/geodb.2025.08.08.V1.

References：


     [1] Tobin, K. J., Torres, R., Crow, W. T. Multi-decadal analysis of root-zone soil moisture applying the exponential filter across CONUS [J]. Hydrology and Earth System Sciences, 2017, 21(9): 4403-4417.
     [2] Zohaib, M., Kim, H., Choi, M. Evaluating the patterns of spatiotemporal trends of root zone soil moisture in major climate regions in East Asia: trend of root zone soil moisture [J]. Journal of Geophysical Research-Atmospheres, 2017, 122(15): 7705-7722.
     [3] Xu, L., Chen, N., Zhang, X., et al. In-situ and triple-collocation based evaluations of eight global root zone soil moisture products [J]. Remote Sensing of Environment, 2023, 254: 112248.
     [4] Tian, J., Zhang, Y. Q. Comprehensive validation of seven root zone soil moisture products at 1153 ground sites across China [J]. International Journal of Digital Earth, 2023, 16(2): 4008-4022.
     [5] Bell, B., Hersbach, H., Simmons, A., et al. The ERA5 global reanalysis: preliminary extension to 1950 [J]. Quarterly Journal of the Royal Meteorological Society, 2021, 147(741): 4186-4227.
     [6] Reichle, R. H., Draper, C. S., Liu, Q., et al. Assessment of MERRA-2 land surface hydrology estimates [J]. Journal of Climate, 2017, 30(8): 2937-2960.
     [7] Saha, S., Moorthi, S., Wu, X. R., et al. The NCEP climate forecast system version 2 [J]. Journal of Climate, 2014, 27(6): 2185-2208.
     [8] Rodell, M., Houser, P. R., Jambor, U., et al. The global land data assimilation system [J]. Bulletin of the American Meteorological Society, 2004, 85(3): 381-394.
     [9] Reichle, R. H., Liu, Q., Koster, R. D., et al. Version 4 of the SMAP Level-4 soil moisture algorithm and data product [J]. Journal of Advances in Modeling Earth Systems, 2019, 11(10): 3106-3130.
     [10] Tavella, P., Premoli, A. Estimating the instabilities of N-Clocks by measuring differences of their readings [J]. Metrologia, 1994, 30(5): 479-486.
     [11] Galindo, F. J., Palacio, J. Estimating the instabilities of N correlated clocks [C]. Proceedings of the 31th Annual Precise Time and Time Interval Systems and Applications Meeting, 1999: 285-296.
     

Data Product:

ID Data Name Data Size Operation
1 RZSM_China_2018-2021.rar 101786.41KB
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