
张永根
- 教师拼音名称:Zhang Yonggen
- 性别:男
- 职称:副教授
- 所属院系:地球系统科学学院
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· Zhang, Y., Schaap*, M.G., Guadagnini, A., Neuman, S.P., 2016. Inverse modeling of unsaturated flow using clusters of soil texture and pedotransfer functions: inverse modeling using clusters of soil texture. Water Resources Research 52, 7631–7644. https://doi.org/10.1002/2016WR019016
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· Zhang, Y., Liu*, M., Chen, H., Hou, G., 2014. Source identification of polycyclic aromatic hydrocarbons in different ecological wetland components of the qinkenpao wetland in northeast China. Ecotoxicology and environmental safety 102, 161–167. https://doi.org/10.1016/j.ecoenv.2014.01.030
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· Li, M., Shao*, W., Yu, W., Su, Y., Song, Q., Zhang, Yiping, Gao, H., Zhang, Yonggen, Dong, J., 2025. Optimization of soil hydraulic parameters within a constrained sampling space. Geoderma 455, 117210. https://doi.org/10.1016/j.geoderma.2025.117210
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· Liu, Y., Zha*, Y., Ran, G., Zhang, Y., Shi, L., 2025. SMRFR: A global multilayer soil moisture dataset generated using Random Forest from multi-source data. Scientific Data 12, 1170. https://doi.org/10.1038/s41597-025-05511-w
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· Zhou, J., Wang*, Y., Qi, P., Ma, R., Vereecken, H., Minasny, B., Zhang, Y., 2025. Soil Physics-Informed Neural Networks to Estimate Bimodal Soil Hydraulic Properties. Water Resources Research 61, e2024WR039337. https://doi.org/10.1029/2024WR039337
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· Bai, F., Wei*, Z., Wei, N., Lu, X., Yuan, H., Zhang, S., Liu, S., Zhang, Y., Li, X., Dai, Y., 2024. Global assessment of atmospheric forcing uncertainties in the common land model 2024 simulations. Journal of Geophysical Research: Atmospheres 129, e2024JD041520. https://doi.org/10.1029/2024JD041520
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· Cai, Y., Xu, Q., Bai, F., Cao, X., Wei*, Z., Lu*, X., Wei, N., Yuan, H., Zhang, S., Liu, S., Zhang, Y., Li, X., Dai, Y., 2024. Reconciling global terrestrial evapotranspiration estimates from multi-product intercomparison and evaluation. Water Resources Research 60, e2024WR037608. https://doi.org/10.1029/2024WR037608
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· Chen, S., Li*, L., Wei, Z., Wei, N., Zhang, Y., Zhang, Shupeng, Yuan, H., Shangguan, W., Zhang, Shulei, Li, Q., Dai, Y., 2024. Exploring topography downscaling methods for hyper‐resolution land surface modeling. Journal of Geophysical Research: Atmospheres 129, e2024JD041338. https://doi.org/10.1029/2024JD041338
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· 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
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· 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