数据集(库)目录

出版期刊|区域分类

数据详情

中国根区(0-100 cm)土壤水分0.25°日频数据集(2018-2021)


田静1
1 中国科学院地理科学与资源研究所,北京100101

DOI:10.3974/geodb.2025.08.08.V1

出版时间:2025年8月

网页浏览次数:27       数据下载次数:0      
数据下载量: 无      数据DOI引用次数:

关键词:

根区土壤水分,三角帽法,数据融合,

摘要:

根区(0-100 cm)是连接地表水分循环与植被生态过程的关键空间地域,其土壤水分是干旱监测、农业气象评估等的重要指示指标。中国根区(0-100cm)土壤水分0.25°日频数据集(2018-2021)的研发是基于2个陆面过程模型和3套再分析资料的根区土壤水分数据,采用三角帽法(TCH)进行融合后生成。该数据集时间分辨率为日,空间分辨率为0.25°。利用中国2,061个土壤水分观测站验证显示,融合数据的根区土壤水分RMSE中位数为0.077 m3/m3,相关系数r中位数为0.5,Bias峰值接近0,ubRMSE中位数为0.04 m3/m3,表明数据集具有较好可靠性与适用性,可为区域干旱监测、生态水文分析等提供数据支撑。数据集存储为.tif格式,由1461个数据文件组成,数据量为104 MB(压缩为1个文件,99.4 MB)。

基金项目:

国家自然科学基金(42071327)

数据引用方式:

田静. 中国根区(0-100 cm)土壤水分0.25°日频数据集(2018-2021)[J/DB/OL]. 全球变化数据仓储电子杂志(中英文), 2025. https://doi.org/10.3974/geodb.2025.08.08.V1.

参考文献:


     [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.
     

数据下载:

序号 数据名 数据大小 操作
1 RZSM_China_2018-2021.rar 101786.41KB
主办单位
中国科学院地理科学与资源研究所    中国地理学会
协办单位
CODATA发展中国家任务组    肯尼亚JKUAT大学    数字化林超地理博物馆