Publications & Presentations

Journal Publications (Last updated: October 26, 2025) View full list on Google Scholar →

* denotes corresponding author

Published - peer-reviewed papers in leading journals, including - as first-author or corresponding author. Publications span high-impact journals such as loading...

2025 (0) | 2024 (0) | 2023 (0) | 2022 (0) | 2021 (0)

2025

Srikanthan, R., Wang, Q. J., & Zhang, Y. (2025). Use of regional sensitivity analysis for diagnosing parsimony of models: A water model case study. Environmental Modelling and Software, 195, 106727. https://doi.org/10.1016/j.envsoft.2025.106727
Zhang, Y., Wang, Q. J., Frost, A. J., Trewin, B., Pudashine, J., Velasco-Forero, C., et al. (2025). Advancing High-Resolution Precipitation Analysis for Operational Hydrological Applications in Australia: Data Sources, Methodologies, and Recommendations. WIREs Water, 12(5), e70037. https://doi.org/10.1002/wat2.70037
Zhang, Y., Ye, A., Li, J., Nguyen, P., Analui, B., Hsu, K., & Sorooshian, S. (2025). Improve streamflow simulations by combining machine learning pre-processing and post-processing. Journal of Hydrology, 132904. https://doi.org/10.1016/j.jhydrol.2025.132904
Chen, X., Zhang, Y., Cao, K., Li, D., & Wu, Q. (2025). Improving PM2.5 simulations using LSTM: a study on spatiotemporal generalization. Atmospheric Pollution Research, 16(11), 102647. https://doi.org/10.1016/j.apr.2025.102647
Li, Q., Ye, A., Nath, R., Zhang, Y., & Zhou, J. (2025). The global drought-sensitive areas will expand in the future. Ecological Indicators, 178, 113838. https://doi.org/10.1016/j.ecolind.2025.113838
Chen, X., Zhang, Y.*, Ye, A., Li, J., Hsu, K., and Sorooshian, S. (2025). Fine-tuning long short-term memory models for seamless transition in hydrological modelling: From pre-training to post-application. Environmental Modelling and Software, 106350. https://doi.org/10.1016/j.envsoft.2025.106350
Zhu, Y., Ye, A., Zhang, Y. (2025). Water body seasonality reveals the dominant role of human activity across the Yangtze River Basin in China. Journal of Hydrology, 132759. https://doi.org/10.1016/j.jhydrol.2025.132759

2024

Li, Q., Ye, A., Wada, Y., Zhang, Y., and Zhou, J. (2024). Climate change leads to an expansion of global drought-sensitive area. Journal of Hydrology, 632, 130874. https://doi.org/10.1016/j.jhydrol.2024.130874

2023

Zhang, Y., Ye, A., Analui, B., Nguyen, P., Sorooshian, S., Hsu, K., and Wang, Y. (2023). Comparing quantile regression forest and mixture density long short-term memory models for probabilistic post-processing of satellite precipitation-driven streamflow simulations. Hydrology and Earth System Sciences, 27(24), 4529–4550. https://doi.org/10.5194/hess-27-4529-2023
Wang, Y., Ye, A., Zhang, Y., and Yang, F. (2023). The quantitative attribution of climate change to runoff increase over the Qinghai-Tibetan Plateau. Science of The Total Environment, 165326. https://doi.org/10.1016/j.scitotenv.2023.165326

2022

Zhang, Y., Ye, A., Nguyen, P., Analui, B., Sorooshian, S., and Hsu, K. (2022). QRF4P-NRT: Probabilistic Post-Processing of Near-Real-Time Satellite Precipitation Estimates Using Quantile Regression Forests. Water Resources Research, 58(5), e2022WR032117. https://doi.org/10.1029/2022WR032117
Li, Q., Ye, A., Zhang, Y., Zhou, J. (2022). The Peer-To-Peer Type Propagation from Meteorological Drought to Soil Moisture Drought Occurs in Areas with Strong Land-Atmosphere Interaction. Water Resources Research, 58(9), e2022WR032846. https://doi.org/10.1029/2022WR032846
Zhu, Y., Ye, A., Zhang, Y. (2022). Changes of total and artificial water bodies in inland China over the past three decades. Journal of Hydrology, 128344. https://doi.org/10.1016/j.jhydrol.2022.128344
Xu, J., Gao, J., Liu, J., Tu, X., Zhang, Y. (2022). Assessment on spatiotemporal variations for minimum water consumption of vegetation in China based on constraint line method. Journal of Cleaner Production, 134680. https://doi.org/10.1016/j.jclepro.2022.134680
He, S., Guo, S., Zhang, J., Liu, Z., Cui, Z., Zhang, Y., and Zheng, Y. (2022). Multi-objective operation of cascade reservoirs based on short-term ensemble streamflow prediction. Journal of Hydrology, 127936. https://doi.org/10.1016/j.jhydrol.2022.127936

2021

Zhang, Y., Ye, A., Nguyen, P., Analui, B., Sorooshian, S., and Hsu, K. (2021). New insights into error decomposition for precipitation products. Geophysical Research Letters, 48(17), e2021GL094092. https://doi.org/10.1029/2021GL094092
Zhang, Y., and Ye, A. (2021). Machine Learning for Precipitation Forecasts Postprocessing: Multimodel Comparison and Experimental Investigation. Journal of Hydrometeorology, 22(11), 3065-3085. https://doi.org/10.1175/JHM-D-21-0096.1
Zhang, Y., Ye, A., Nguyen, P., Analui, B., Sorooshian, S., and Hsu, K. (2021). Error Characteristics and Scale Dependence of Current Satellite Precipitation Estimates Products in Hydrological Modeling. Remote Sensing, 13(16), 3061. https://doi.org/10.3390/rs13163061
Zhang, Y., Ye, A., You, J., and Jing, X. (2021). Quantification of human and climate contributions to multi-dimensional hydrological alterations: A case study in the Upper Minjiang River, China. Journal of Geographical Sciences, 31(8), 1102-1122. https://doi.org/10.1007/s11442-021-1887-z
Li, H., Ye, A., Zhang, Y., and Zhao, W. (2021). Intercomparison and evaluation of multisource soil moisture products in China. Earth and Space Science, 8(10), e2021EA001845. https://doi.org/10.1029/2021EA001845

Conferences & Talks

2024

Zhang, Y.: Multi-Source Precipitation Blending Review and BRAIN-OI Development, Hydrological Section Monthly Seminar, Australian Bureau of Meteorology, Online, 4 December 2024. Oral presentation
Zhang, Y., Wang, Q., Frost, A., Pudashine, J., Trewin, B., Villiani, V., Velasco-Forero, C.: Bias Correction and Error Characterisation of Himawari-8/9 Satellite Precipitation Product for Operational Hydrological Application in Australia, Hydrology and Water Resources Symposium 2024, Engineers Australia, Melbourne, 18-21 November 2024. Oral presentation
Zhang, Y., Wang, Q., Frost, A., Pudashine, J., Trewin, B., Velasco-Forero, C.: Advancing Precipitation Analysis for Operational Hydrological Applications: Data sources, Methodologies, and Recommendations, Hydrology and Water Resources Symposium 2024, Engineers Australia, Melbourne, 18-21 November 2024. Oral presentation

2021

Zhang, Y. and Ye, A.: Improve short-term precipitation forecasts using numerical weather prediction model output and machine learning, EGU General Assembly 2021, online, 19-30 Apr 2021, EGU21-4373. Oral presentation
Li, H., Ye, A., Zhang, Y., and Zhao, W.: Evaluation of multiple soil moisture products using in-situ observations over China, EGU General Assembly 2021, online, 19-30 Apr 2021, EGU21-14049.