Peijun Li

Peijun Li

Ph.D. in Hydrological Sciences

Journal articles

(For a full list, please refer to my Google Scholar and Researchgate

  1. Li, P., Song, Y., Pan, M., Lawson, K., & Shen, C. (2025). Ensembling differentiable process-based and data-driven models with diverse meteorological forcing datasets to advance streamflow simulation. Hydrology and Earth System Sciences, 29(23), 6829–6861. https://doi.org/10.5194/hess-29-6829-2025.

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

  3. 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.

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

Conferences

(For a full list, please refer to my Google Scholar)

Open-source Contributions