Time-lapse observation dataset of soil temperature and humidity on the Tibetan Plateau (2008-2016)
SM refers to soil moisture, ST refers to soil temperature, CST04 refers to the observation site, and 05 cm refers to the depth of the sampled soil layer.
It can be opened with Excel software.
Bob, S., Yang, K. (2019). Time-lapse observation dataset of soil temperature and humidity on the Tibetan Plateau (2008-2016). National Tibetan Plateau Data Center, DOI: 10.11888/Soil.tpdc.270110. CSTR: 18406.11.Soil.tpdc.270110. (Download the reference： RIS | Bibtex )Related Literatures:
1. Su, Z.B., Rosnay, P.D., Wen, J.G., Wang, L.C., &Zeng, Y.J. (2013). Evaluation of ECMWF's soil moisture analyses using observations on the Tibetan Plateau. Journal of Geophysical Research, 118(11), 5304-5318.( View Details | Bibtex)
2. Dente, L., Vekerdy, Z., Wen, J. &Su, Z.B. (2012). Maqu network for validation of satellite - derived soil moisture products. International Journal of Applied Earth Observation and Geoinformation, 17, 55-65.( View Details | Bibtex)
3. van der Velde, R., Su, Z.B., van Oevelen, P., Wen, J., Ma, Y.M., & Salama, M.S. (2012). Soil moisture mapping over the central part of the Tibetan Plateau using a series of ASAR WS images. Remote Sensing of Environment, 120, 175-187.( View Details | Bibtex)
4. Su, Z.B., Wen, J., Dente, L., van der Velde, R., Wang, L.C., Ma, Y.M., Yang, K., & Hu, Z.H. (2011). The Tibetan Plateau observatory of plateau scale soil moisture and soil temperature (Tibet-Obs) for quantifying uncertainties in coarse resolution satellite and model products. Hydrology and Earth System Sciences, 15(7), 2303-2316.( View Details | Download | Bibtex)
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
1.Zeng, Y.J., Su, Z.B., van der Velde, R., Wang, L.C., Xu, K., Wang, X., &Wen, J. (2016). Blending Satellite Observed, Model Simulated, and in Situ Measured Soil Moisture over Tibetan Plateau. Remote Sensing, 8(3), 268. (View Details )
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|East: 102.60||West: 79.62|
|South: 27.70||North: 34.02|