1. Sui, X. (2026). Scale-Dependent Causality in Urban Climate Anomalies In Progress.
  2. Sui, X., Chakraborty, TC., & Yang, Z. (2026). Three-Dimensional Building Morphology Influences Satellite-Derived Evapotranspiration Estimates. In Progress.
  3. Sui, X., Yang, Z., & Niyogi, D. (2026). Divergent Urban Storm Response to Convective, Frontal, and Tropical Systems Nature, pp.1-7. https://doi.org/10.1038/s41586-026-10479-7
  4. Hu, C., Tam, C.Y., Sui, X., Cheung, K.K., Li, Y., & Yang, Z. (2026). Urbanization and Local-scale storm characteristics dominate spatially divergent tropical cyclone rainfall trends in South China. npj Natural Hazards, 3(1), p.25. https://doi.org/10.1038/s44304-026-00189-5
  5. Sui, X., Yang, Z., & Niyogi, D. (2025). Diurnal Urban Precipitation Anomalies across Diverse Landscapes. Science Advances, 11(33), p.eads5046. https://doi.org/10.1126/sciadv.ads5046
  6. Sui, X., Yang, Z., Shepherd, M., & Niyogi, D. (2024). Global scale assessment of urban precipitation anomalies. Proceedings of the National Academy of Sciences, 121(38), e2311496121. https://doi.org/10.1073/pnas.2311496121
  7. Sui, X., & van de Ven, F.H.M. (2023). The influence of Low Impact Development (LID) on basin runoff in a half-urbanized catchment: A case study in San Antonio, Texas. Journal of Hydrology, 616, 128793. https://doi.org/10.1016/j.jhydrol.2023.128793
  8. Li, Z., Tiwari, A., Sui, X., Garrison, J., Marks, F., & Niyogi, D. (2023). Studying Brown Ocean Re-intensification of Hurricane Florence using CYGNSS and SMAP soil moisture data and a numerical weather model. Geophysical Research Letters, 50(19), e2023GL105102. https://doi.org/10.1029/2023GL105102
  9. Gai, Y., Long, X., Wei, Z., Sui, X., Jiang, B., Chen, X., Yu, D., Qin, S., & Cui, Y. (2023). Toward a better understanding of uncertainty for satellite precipitation products over complex terrain with sparse rain gauge data. Atmospheric Research, 288, 106742. https://doi.org/10.1016/j.atmosres.2023.106742
  10. Sui, X., Li, Z., Tang, G., Yang, Z.-L., & Niyogi, D. (2022). Disentangling error structures of precipitation datasets using decision trees. Remote Sensing of Environment, 280, 113185. https://doi.org/10.1016/j.rse.2022.113185
  11. Wei, Z., Long, X., Gai, Y., Yang, Z., Sui, X., Chen, X., Kan, G., Fan, W., & Cui, Y. (2022). Evaluating remote sensing precipitation products using double instrumental variable method. IEEE Geoscience and Remote Sensing Letters, 19, 1–5. https://doi.org/10.1109/LGRS.2022.3192644
  12. Sui, X., Li, Z., Ma, Z., Xu, J., Zhu, S., & Liu, H. (2020). Ground validation and error sources identification for GPM IMERG product over the southeast coastal regions of China. Remote Sensing, 12(24), 4154. https://doi.org/10.3390/rs12244154
  13. Li, H., Zhong, X., Ma, Z., Tang, G., Ding, L., Sui, X., Xu, J., & He, Y. (2020). Climate changes and their teleconnections with ENSO over the last 55 years, 1961–2015, in floods-dominated basin, Jiangxi Province, China. Earth and Space Science, 7(3). https://doi.org/10.1029/2019EA001047
  14. Zhang, F., Sui, X., Jiang, S., & Liang, X. (2019). Experimental study on the influence of moisture content on the frozen wall in in-situ mining of oil shale. Chemical Industry Management, 17. (In Chinese)
  15. Ulkü, M., Sui, X., van der Lans, M., Peynado, T.D., Zheng, J., & Fong, C. (2018). Sponge City Project. TU Delft Multidisciplinary Student Project. Link