Peijun Li

Peijun Li

Ph.D. in Hydrological Sciences

Journal articles

(For a full list, please refer to my Researchgate

  1. Li P, Zha Y, Zhang Y, et al. Deep learning integrating scale conversion and pedo‐transfer function to avoid potential errors in cross‐scale transfer[J]. Water Resources Research, 2024, 60(3): e2023WR035543. https://doi.org/10.1029/2023WR035543.

  2. Li, P., Zha, Y., Zuo, B., & Zhang, Y. (2023). A family of soil water retention models based on sigmoid functions. Water Resources Research, 59, e2022WR033160. https://doi.org/10.1029/2022WR033160.

  3. Li, P., Zha, Y., Shi, L., Tso, C. H. M., Zhang, Y., & Zeng, W. (2020). Comparison of the use of a physical-based model with data assimilation and machine learning methods for simulating soil water dynamics. Journal of Hydrology, 584, 124692. https://doi.org/10.1016/j.jhydrol.2020.124692

  4. Li, P., Zha, Y., Tso, C. H. M., Shi, L., Yu, D., Zhang, Y., & Zeng, W. (2020). Data assimilation of uncalibrated soil moisture measurements from frequency-domain reflectometry. Geoderma, 374, 114432. https://doi.org/10.1016/j.geoderma.2020.114432

  5. Li, P., Zha, Y., & Tso, C.-H. M. (2023). Reconstructing GRACE-derived terrestrial water storage anomalies with in-situ groundwater level measurements and meteorological forcing data. Journal of Hydrology: Regional Studies, 50, 101528. https://doi.org/10.1016/j.ejrh.2023.101528

  6. Li, P., Zha, Y., Shi, L., & Zhong, H. (2021). Identification of the terrestrial water storage change features in the North China Plain via independent component analysis. Journal of Hydrology: Regional Studies, 38, 100955. https://doi.org/10.1016/j.ejrh.2021.100955

  7. Li, P., Zha, Y., Shi, L., & Zhong, H. (2022). Assessing the Global Relationships Between Teleconnection Factors and Terrestrial Water Storage Components. Water Resources Management, 36, 119–133. https://doi.org/10.1007/s11269-021-03015-x

  8. Yin, W., Yang, S., Hu, L., Tian, S., Wang, X., Zhao, R., & Li, P. (2022). Improving understanding of spatiotemporal water storage changes over China based on multiple datasets. Journal of Hydrology, 612, 128098. https://doi.org/10.1016/j.jhydrol.2022.128098

Conferences