Articles | Volume 25, issue 7
https://doi.org/10.5194/hess-25-4209-2021
https://doi.org/10.5194/hess-25-4209-2021
Research article
 | 
30 Jul 2021
Research article |  | 30 Jul 2021

Comprehensive evaluation of satellite-based and reanalysis soil moisture products using in situ observations over China

Xiaolu Ling, Ying Huang, Weidong Guo, Yixin Wang, Chaorong Chen, Bo Qiu, Jun Ge, Kai Qin, Yong Xue, and Jian Peng

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Cited articles

AghaKouchak, A., Farahmand, A., Melton, F. S., Teixeira, J., Anderson, M. C., Wardlow, B. D., and Hain, C. R.: Remote sensing of drought: progress, challenges and opportunities, Rev. Geophys., 53, 452–480, https://doi.org/10.1002/2014rg000456, 2015. 
Akbar, R., Gianotti, D. J. S., McColl, K. A., Haghighi, E., Salvucci, G. D., and Entekhabi, D.: Estimation of landscape soil water losses from satellite observations of soil moisture, J. Hydrometeorol., 19, 871–889, https://doi.org/10.1175/jhm-d-17-0200.1, 2018. 
Albergel, C., Rosnay, P., Gruhier, C., Munoz-Sabater, J., Hasenauer, S., Isaksen, L., Kerr, Y., and Wagner, W.: Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations, Remote Sens. Environ., 118, 215–226, https://doi.org/10.1016/j.rse.2011.11.017, 2012. 
Albergel, C., Dutra, E., Munier, S., Calvet, J. C., Munoz-Sabater, J., de Rosnay, P., and Balsamo, G.: ERA-5 and ERA-interim driven ISBA land surface model simulations: which one performs better?, Hydrol. Earth Syst. Sci., 22, 3515–3532, https://doi.org/10.5194/hess-22-3515-2018, 2018. 
An, R., Zhang, L., Wang, Z., Quaye-Ballard, J. A., You, J., Shen, X., Gao, W., Huang, L., Zhao, Y., and Ke, Z.: Validation of the ESA CCI soil moisture product in China, Int. J. Appl. Earth Obs. Geoinf., 48, 28–36, https://doi.org/10.1016/j.jag.2015.09.009, 2016. 
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Short summary
Soil moisture (SM) plays a critical role in the water and energy cycles of the Earth system, for which a long-term SM product with high quality is urgently needed. In situ observations are generally treated as the true value to systematically evaluate five SM products, including one remote sensing product and four reanalysis data sets during 1981–2013. This long-term intercomparison study provides clues for SM product enhancement and further hydrological applications.
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