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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
Wigneron, J.-P., Li, X., Frappart F., Fan L., Al-Yaari A., De Lannoy G., Liu X., Wang M., Le Masson E., Moisy C., SMOS-IC data record of soil moisture and L-VOD: historical development, applications and perspectives, Remote Sens. Env., 254, 112238, https://doi.org/10.1016/j.rse.2020.112238, 202
Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W. (2021). Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record, in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896
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
Fernandez-Moran R., A. Al-Yaari, A. Mialon, A. Mahmoodi, A. Al Bitar, G. De Lannoy, N. Rodriguez-Fernandez, E. Lopez-Baeza, Y. Kerr and J.-P. Wigneron, "SMOS-IC: An Alternative SMOS Soil Moisture and Vegetation Optical Depth Product", Remote Sensing, 9, 457; doi:10.3390/rs9050457, 2017
Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W. (2021). Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record, in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896
Fernandez-Moran, R., Wigneron, J.-P., De Lannoy, G., Lopez-Baeza, E., Parrens, M., Mialon, A., Mahmoodi, A., Al-Yaari, A., Bircher, S., Al Bitar, A., Richaume, P., Kerr, Y., A new calibration of the effective scattering albedo and soil roughness parameters in the SMOS SM retrieval algorithm, Int J Appl Earth Obs Geoinformation, 62, 27–38, 2017. https://doi.org/10.1016/j.jag.2017.05.013
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
Yao, P.P., Lu, H., Shi, J.C., Zhao, T.J., Yang K., Cosh, M.H., Gianotti, D.J.S., & Entekhabi, D. (2021). A long term global daily soil moisture dataset derived from AMSR-E and AMSR2 (2002-2019). Scientific Data, 8, 143 (2021). https://doi.org/10.1038/s41597-021-00925-8
Meng, X., Mao, K., Meng, F., Shi, J., Zeng, J., Shen, X., Cui, Y., Jiang, L., & Guo, Z. (2021). A fine-resolution soil moisture dataset for China in 2002–2018. Earth System Science Data, 13(7), 3239–3261. https://doi.org/10.5194/essd-13-3239-2021
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