User's Guide for China Soil Moisture Dataset from Microwave Data Assimilation

 

Kun Yang, Prof., Dr. (yangk@itpcas.ac.cn)

Data Assimilation and Modeling Center for Tibetan Multi-spheres (DAM)

Institute of Tibetan Plateau Research (ITP), Chinese Academy of Sciences (CAS)

 

1. Dataset content description

(1) File name:

Soil-Moisture_from_ITPLDAS_daily_0.25deg_v2.1.nc”

There are three layers (0-5cm, 5-20cm, 20-100cm) of the soil moisture in the file.

(2) Temporal cover range:

2002.06.20-2011.09.24

(3) Spatial cover range:

15.125-55.125°N, 70.125-140.125°E

(4) File type:

NetCDF

(5) Temporal and spatial resolutions:

0.25º×0.25º lat-lon; daily

(6) Unit:

Volumetric soil water content (SM): m3/m3

2. Data processing

The data with the spatial resolution and the temporal resolution of of 0.1 deg, 3-hr is saved as follow: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).

3. Data quality

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

4. Data application

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.

5. Disclaimer

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.