Articles | Volume 28, issue 11
https://doi.org/10.5194/hess-28-2375-2024
https://doi.org/10.5194/hess-28-2375-2024
Research article
 | 
05 Jun 2024
Research article |  | 05 Jun 2024

Evaluation of root zone soil moisture products over the Huai River basin

En Liu, Yonghua Zhu, Jean-Christophe Calvet, Haishen Lü, Bertrand Bonan, Jingyao Zheng, Qiqi Gou, Xiaoyi Wang, Zhenzhou Ding, Haiting Xu, Ying Pan, and Tingxing Chen

Related authors

Evaluation of model-derived root-zone soil moisture over the Huai river basin
En Liu, Yonghua Zhu, Jean-christophe Calvet, Haishen Lü, Bertrand Bonan, Jingyao Zheng, Qiqi Gou, Xiaoyi Wang, Zhenzhou Ding, Haiting Xu, Ying Pan, and Tingxing Chen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-33,https://doi.org/10.5194/hess-2023-33, 2023
Manuscript not accepted for further review
Short summary

Cited articles

Al Bitar, A. and Mahmoodi, A.: Algorithm Theo- retical Basis Document (ATBD) for the SMOS Level 4 Root Zone Soil Moisture (Version v30_01), https://doi.org/10.5281/zenodo.4298572, 2020. 
Al Bitar, A., Mialon, A., Kerr, Y. H., Cabot, F., Richaume, P., Jacquette, E., Quesney, A., Mahmoodi, A., Tarot, S., Parrens, M., Al-Yaari, A., Pellarin, T., Rodriguez-Fernandez, N., and Wigneron, J.-P.: The global SMOS Level 3 daily soil moisture and brightness temperature maps, Earth Syst. Sci. Data, 9, 293–315, https://doi.org/10.5194/essd-9-293-2017, 2017. 
Al Bitar, A., Mahmoodi, A., Kerr, Y., Rodriguez-Fernandez, N., Parrens, M., and Tarot, S.: Global Assessment of Droughts in the Last Decade from SMOS Root Zone Soil Moisture, 2021 Int. Geosci. Remote Se., 8628–8631, https://doi.org/10.1109/igarss47720.2021.9554773, 2021. 
Albergel, C., Rüdiger, C., Pellarin, T., Calvet, J.-C., Fritz, N., Froissard, F., Suquia, D., Petitpa, A., Piguet, B., and Martin, E.: From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations, Hydrol. Earth Syst. Sci., 12, 1323–1337, https://doi.org/10.5194/hess-12-1323-2008, 2008. 
Albergel, C., de Rosnay, P., Gruhier, C., Muñoz-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. 
Download
Short summary
Overestimated root zone soil moisture (RZSM) based on land surface models (LSMs) is attributed to overestimated precipitation and an underestimated ratio of transpiration to total evapotranspiration and performs better in the wet season. Underestimated SMOS L3 surface SM triggers the underestimated SMOS L4 RZSM, which performs better in the dry season due to the attenuated radiation in the wet season. LSMs should reduce and increase the frequency of wet and dry soil moisture, respectively.
Share