China Soil Moisture Dataset from Microwave Data Assimilation

China Soil Moisture Dataset from Microwave Data Assimilation includes three layers (0-5cm, 5-20cm, 20-100cm) of the soil moisture.

China, Soil Moisture,Microwave Data Assimilation
:Kun Yang :Building 3, Courtyard 16, Lin Cui Road, Chaoyang District, Beijing 100101 P.R. China
:yangk@itpcas.ac.cn

Data content: China Soil Moisture Dataset from Microwave Data Assimilation includes three layers (0-5cm, 5-20cm, 20-100cm) of the soil moisture.

Temporal cover range:  2002.06.20-2011.09.24

Spatial cover range:  15.125-55.125°N,70.125-140.125°E

File type: NetCDF

Temporal and spatial resolutions: 0.25o×0.25o lat-lon;   daily

File name: Soil-Moisture_from_ITPLDAS_daily_0.25deg_v2.1.nc

Fields: lon, lat, lev, time, www

www(time, lev, lat, lon) is soil water content(default as: -999.0).

Unit: Volumetric soil water content(SM): m3/m3

 

PS: command 'ncdump –h' can show the file header info.

Data Assimilation and Modeling Center, Institute of Tibetan Plateau Research, Chinese Academy of Sciences

The soil moisture data was estimated through a Dual-Pass Microwave Land Data Assimilation System (ITPLDAS). The system was driven by atmospheric forcing data (ITPCAS China Meteorological Forcing Dataset) and assimilates passive microwave data (AMSR-E TB). The method was developed by Yang et al. (2007) and the results were validated in Yang et al. (2009, 2016).

The accuracy of SM:  ±5%VWC (validation results at two soil moisture networks (Naqu and Maqu).

Yang, K., Lazhu, Y. Chen, L. Zhao, J. Qin, H. Lu, W. Tang, M. Han, B. Ding, and N. Fang, 2016: Land surface model calibration through microwave data assimilation for improving soil moisture simulations, J. Hydrol., 533, 266–276, doi:10.1016/j.jhydrol.2015.12.018.

 

Qin, J., Zhao, L., Chen, Y., Yang, K., Yang, Y., Chen, Z., & Lu, H. (2015). Inter-comparison of spatial upscaling methods for evaluation of satellite-based soil moisture. Journal of Hydrology, 523, 170-178.

 

Wang Xiaoyun, Yi Shuhua, Wu Qingbai, Yang Kun, Ding Yongjian, 2016. The role of permafrost and soil water in distribution of alpine grassland and its NDVI dynamics on the Qinghai-Tibetan Plateau. Submitted to GPC.

 

The data can only be utilized for academic research. Use of the data for other purposes (e.g. commercial use) is prohibited. No user is allowed to transfer the data to any third party. 

The authors request all users make appropriate references to the use of this dataset. Users are suggested to refer to the following publications:

 

Yang, K., T. Watanabe, T. Koike, X. Li, H. Fujii, K. Tamagawa, Y. Ma, and H. Ishikawa, 2007: Auto-calibration system developed to assimilate AMSR-E data into a land surface model for estimating soil moisture and the surface energy budget, J. Meteor. Soc. Japan, 85A, 229-242, doi:10.2151/jmsj.85A.229.

 

Yang, K., T. Koike, I. Kaihotsu, and J. Qin, 2009: Validation of a Dual-Pass Microwave Land Data Assimilation System for Estimating Surface Soil Moisture in Semiarid Regions, J. Hydrometeorol., 10(3), 780-793, doi:10.1175/2008JHM1065.1.

 

Yang, K., Lazhu, Y. Chen, L. Zhao, J. Qin, H. Lu, W. Tang, M. Han, B. Ding, and N. Fang, 2016: Land surface model calibration through microwave data assimilation for improving soil moisture simulations, J. Hydrol., 533, 266–276, doi:10.1016/j.jhydrol.2015.12.018.

 

DOI: 10.11888/AtmosphericPhysics.tpe.249448.file
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China Soil Moisture Dataset from Microwave Data Assimilation