天津大学教师个人主页系统张永根 Li, L., Dai*, Y., Wei, Z., Shangguan, W., Wei, N., Zhang, Y., Li, Q., Li, X.-X., 2024a. Enhancing Deep Learning Soil Moisture Forecasting Models by Integrating Physics-based Models. Advances in Atmospheric Sciences 1–16. https://doi.org/10.1007/s00376-023-3181-8 Personal Profile

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Zhang Yonggen

School

School of Earth System Science

Professional Title

Associate professor

Discipline

地下水科学与工程(Subsurface Hydrology)、土壤物理(Soil Physics)、水文与水资源(Hydrology and Water Resources)

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Selected Papers

Current position: Personal Profile > Academic Achievements > Selected Papers

Li, L., Dai*, Y., Wei, Z., Shangguan, W., Wei, N., Zhang, Y., Li, Q., Li, X.-X., 2024a. Enhancing Deep Learning Soil Moisture Forecasting Models by Integrating Physics-based Models. Advances in Atmospheric Sciences 1–16. https://doi.org/10.1007/s00376-023-3181-8

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Pre One:Fan, H., Xu, Q., Bai, F., Wei*, Z., Zhang, Y., Lu, X., Wei, N., Zhang, S., Yuan, H., Liu, S., Li, XianXiang, Li, Xueyan, Dai, Y., 2024. An unstructured mesh generation tool for efficient high-resolution representation of spatial heterogeneity in land surface models. Geophysical Research Letters 51, e2023GL107059. https://doi.org/10.1029/2023GL107059

Next One:Li, L., Dai*, Y., Wei, Z., Shangguan, W., Zhang, Y., Wei, N., Li, Q., 2024b. Enforcing Water Balance in Multitask Deep Learning Models for Hydrological Forecasting. Journal of Hydrometeorology 25, 89–103. https://doi.org/10.1175/JHM-D-23-0073.1