Data file name:
SM_ ITPLDAS_ daily_ 0.25yyyydd2.1. tif, yyyy is the year and ddd is the day
Yang, K. (2022). 25KM Soil Moisture Data Set in the Upper Reaches of the Yangtze River in China Based on Microwave Data Assimilation (2002-2011). Upper Yangtze River Scientific Data Center, (Download the reference:
Related Literatures:1. Yang, K., Chen, Y.Y., He, J., Zhao, L., Lu, H., Qin, J., Zheng, D.H., Li, X. (2020). Development of a daily soil moisture product for the period of 2002–2011 in Chinese Mainland. Science China - Earth Sciences, doi: 10.1007/s11430-019-9588-5( View Details | Bibtex)
2. Yang, K. (2018). The soil moisture dataset of China based on microwave data assimilation (2002-2011). National Tibetan Plateau Data Center, DOI: 10.11888/AtmosphericPhysics.tpe.249448.file. CSTR: 18406.11.AtmosphericPhysics.tpe.249448.file( View Details | Bibtex)
3. Yang, Kun, Zhu, La, Chen, Yingying, Zhao, Long, Qin, Jun, Lu, Hui, Tang, Wenjun, Han, Menglei, Ding, Baohong, Fang, Nan. Land surface model calibration through microwave data assimilation for improving soil moisture simulations. Journal of Hydrology, 2016, 533:266-276. doi:10.1016/j.jhydrol.2015.12.018( View Details | Bibtex)
4. 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( View Details | Bibtex)
5. Yang, K., Watanabe, T., Koike, T., Li, X., Fujii, H., Tamagawa, K., Ma, Y.M., &Ishikawa, H. (2007). Auto-calibration system developed to assimilate AMSR-E data into a land surface model for estimating soil moisture and the surface energy budget. Journal of The Meteorological Society of Japan, 85A, 229-242( View Details | Bibtex)
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East: 112.00 | West: 90.00 |
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South: 24.00 | North: 36.00 |