2010-至今，北京师范大学工作；

2008-2010，北京大学博士后；

2003-2008年于武汉大学水利工程系，获工学博士学位；

2012-2013，匹兹堡大学访问学者。

 水文模型与遥感应用

1.项目主持人：“陆表辐射能量平衡对区域水循环的驱动作用”（2023-2026），国家自然科学基金（面上项目）；

2. 项目主持人：“植被变绿对能量平衡和蒸散发过程的重分配作用”（2020-2023），国家自然科学基金（面上项目）；

3. 项目主持人：“三北防护林生态系统水文过程演变归因及生态脆弱性研究”（2015-2018），国家自然科学基金（面上项目）；

4. 项目主持人：“削减分布式水文模拟不确定性的多源数据同化方法”（2011-2013）；国家自然科学基金（青年科学基金）；

5.主要完成人：“基于定量遥感和数据同化的区域作物监测与评价研究”（2016-2019），国家自然科学基金(中英国际合作项目)；

6.子课题负责人：“水循环关键过程的动态监测与响应分析”，（2016-2021），全球变化及应对专项；

7. 专题负责人：“全球陆表特征参量数据产品生成技术” （2013-2016）, 国家高技术研究发展计划(863计划)；

8. 专题负责人：“全球气候数据集生成及气候变化关键过程和要素监测” （2016-2021）, 国家高技术研究发展计划(国家重点研发计划);

9. 项目主持人：“分布式流域水文模拟的随机动态数据同化”（2008-2010），中国博士后基金项目。

[1]中国百篇最具影响国际学术论文. 2010

[2]南方水稻灌区节水减排技术与应用, 中国教育部科技进步奖（二等奖）, 2017.12. 

[3]黄河流域生态水文遥感监测关键技术, 中国大坝工程学会科技进步奖（一等奖），2019.9. 

[4]变换环境下气象水文预报关键技术，大禹水利科学技术奖（一等奖），2016.10 

Xie, X.*, & Liang, X.* (2024). Coupling soil erosion and sediment transport processes with the Variable Infiltration Capacity model (VIC-SED) for applications suitable with coarse spatial and temporal resolutions, Journal of Advances in Modeling Earth Systems, 16(9), e2024MS004307. doi:https://doi.org/10.1029/2024MS004307.

Tursun, A., Xie, X.*, Wang, Y., Peng, D., Liu, Y., Zheng, B., Wu, X., & Nie, C. (2024). Streamflow Prediction in Human-Regulated Catchments Using Multiscale Deep Learning Modeling With Anthropogenic Similarities. Water Resources Research, 60(9), e2023WR036853. doi:https://doi.org/10.1029/2023WR036853

Peng, D., Xie, X.*, Liang, S., Wang, Y., Tursun, A., Liu, Y., Jia, K., Ma, H., & Chen, Y. (2024). Improving evapotranspiration partitioning by integrating satellite vegetation parameters into a land surface model. Journal of Hydrology, 643, 131928. doi:https://doi.org/10.1016/j.jhydrol.2024.131928

Wang, Y., Xie, X.*, Zhu, B., Tursun, A., Jiang, F., Liu, Y., Peng, D., & Zheng, B. (2024). An urban module coupled with the Variable Infiltration Capacity model to improve hydrothermal simulations in urban systems, Geoscientific Model Development, 17(15), 5803-5819. doi:https://doi:10.5194/gmd-17-5803-2024.

Tursun, A., Xie, X.*, Wang, Y., Liu, Y., Peng, D., Rusuli, Y., & Zheng, B. (2024). Reconstruction of missing streamflow series in human-regulated catchments using a data integration LSTM model. Journal of Hydrology: Regional Studies, 52, 101744. doi: https://doi.org/10.1016/j.ejrh.2024.101744.

Tursun, A., Xie, X.*, Wang, Y., Liu, Y., Peng, D., & Zheng, B. (2024). Enhancing streamflow simulation in large and human-regulated basins: Long short-term memory with multiscale attributes. Journal of Hydrology, 630, 130771. doi: https://doi.org/10.1016/j.jhydrol.2024.130771.

Wang, Y., Xie, X.*, Zhao, X., Liang, S., Zhu, B., Tursun, A., Jiang, F., Liu, Y., & Zhang, X. (2023), Four-decade response of land surface temperature to urban expansion in Beijing. Agricultural and Forest Meteorology, 341, 109653. doi: https://doi.org/10.1016/j.agrformet.2023.109653.

Liu, Y., Xie, X.*, Tursun, A., Wang, Y., Jiang, F., & Zheng, B. (2023). Surface water expansion due to increasing water demand on the Loess Plateau. Journal of Hydrology: Regional Studies, 49, 101485, doi: https://doi.org/10.1016/j.ejrh.2023.101485.

Zhu, B., Xie, X.*, Wang, Y., & Zhao, X. (2023). The Benefits of Continental-Scale High-Resolution Hydrological Modeling in the Detection of Extreme Hydrological Events in China. Remote Sensing, 15(9), 2402, doi: https://doi.org/10.3390/rs15092402.

Jiang, F., Xie, X.*, Wang, Y., Tursun, A., & Liu, Y. (2023). Shortwave radiation balance modulates potential evapotranspiration over China. International Journal of Digital Earth, 16(1), 1359-1372, doi: 10.1080/17538947.2023.2198267.

Wang, Y., Xie, X.*, Shi, J., Zhu, B., Jiang, F., Chen, Y., & Liu, Y. (2022). Accelerated hydrological cycle on the Tibetan Plateau evidenced by ensemble modeling of long-term water budgets. Journal of Hydrology, 128710, doi: https://doi.org/10.1016/j.jhydrol.2022.128710.

Jiang, F., Xie, X.*, Wang, Y., Liang, S., Zhu, B., Meng, S., Zhang, X., Chen, Y., & Liu Y. (2022). Vegetation greening intensified transpiration but constrained soil evaporation on the Loess Plateau. Journal of Hydrology, 614, 128514, doi: https://doi.org/10.1016/j.jhydrol.2022.128514.

Jiang, F.,  Xie, X.*, Liang, S., Wang, Y., Zhu, B., Zhang, X., & Chen, Y. (2021). Loess Plateau evapotranspiration intensified by land surface radiative forcing associated with ecological restoration. Agricultural and Forest Meteorology, 311, 108669, https://doi.org/10.1016/j.agrformet.2021.108669.

王一冰, 谢先红*, 施建成, 朱博文  (2021). 多源降水数据驱动下青藏高原径流集合模拟. 科学通报, 66(32), 4169-4186, doi: https://doi.org/10.1360/TB-2020-1557.

Zhu, B., Xie, X.*, Lu, C., Lei, T., Wang, Y., Jia, K., & Yao, Y. (2021). Extensive Evaluation of a Continental-Scale High-Resolution Hydrological Model Using Remote Sensing and Ground-Based Observations. Remote Sensing, 13(7), 1247.

Zhu, B.*, Huang, M., Cheng, Y., Xie, X., Liu, Y., Bisht, G., & Chen, X. (2021). Impact of Vegetation Physiology and Phenology on Watershed Hydrology in a Semiarid Watershed in the Pacific Northwest in a Changing Climate. Water Resources Research, 57(3), e2020WR028394.

Meng, S., Xie, X.*, Zhu, B., & Wang, Y. (2020). The relative contribution of vegetation greening to the hydrological cycle in the Three-North region of China: A modelling analysis. Journal of Hydrology, 591,  125689.

Zhu, B., Huang, M.*, Cheng, Y., Xie, X., Liu, Y., Zhang, X., Bisht, G., Chen, X., Missik, J., & Liu, H. (2020). Effects of irrigation on water, carbon, and nitrogen budgets in a semi-arid watershed in the Pacific Northwest: A modelling study. Journal of Advances in Modeling Earth Systems, 12(9), e2019MS001953.

Wu, D.,  Xie, X.*, Tong, J., Meng, S., & Wang, Y. (2020). Sensitivity of Vegetation Growth to Precipitation in a Typical Afforestation Area in the Loess Plateau: Plant-Water Coupled Modelling. Ecological Modelling, 430, 109128.

Wang, Y., Xie, X.*, Meng, S., Wu, D., Chen, Y., Jiang, F., & Zhu, B. (2020). Magnitude Agreement, Occurrence Consistency, and Elevation Dependency of Satellite-Based Precipitation Products over the Tibetan Plateau, Remote Sensing, 12(11), 1750.

Wang, Y., Xie, X.*, Liang, S., Zhu, B., Yao, Y., Meng, S., & Lu, C. (2020). Quantifying the response of potential flooding risk to urban growth in Beijing. Science of the Total Environment. 705, 135868.

Zhu, B., Xie, X.*, Meng, S., Lu, C., & Yao, Y. (2020). Sensitivity of soil moisture to precipitation and temperature over China: Present state and future projection, Science of the Total Environment. 705, 135774.

Yao, Y., Xie, X.*, Meng, S., Zhu, B., Zhang, K., & Wang, Y. (2019). Extended Dependence of the Hydrological Regime on the LandCover Change in the Three-North Region of China: An Evaluation under FutureClimate Conditions. Remote Sensing, 11(1), 81.

Zhang, K., Xie, X.*, Zhu, B., Meng, S., & Yao, Y. (2019). Unexpected groundwater recovery with decreasing agricultural irrigationin the Yellow River Basin. Agricultural Water Management, 213, 858-867.

Zhu, B., Xie, X.*, & Zhang, K. (2018). Waterstorage and vegetation changes in response to the 2009/10 drought over North China. Hydrology Research, 49(5), 1618-1635

Meng, S., Xie, X.*, & Liang, S. (2017). Assimilation of soil moisture and streamflow observations to improve floodforecasting with considering runoff routing lags. Journal of Hydrology, 550,568-579

Yu, X., Xie, X.*, & Meng, S. (2017). Modelingthe Responses of Water and Sediment Discharge to Climate Change in the UpperYellow River Basin, China, Journal of Hydrologic Engineering. 22(12),05017026

Xie, X.*, Liang, S., Yao, Y., Jia, K., Meng, S., & Li, J. (2015). Detection and attribution of changes in hydrological cycle over theThree-North region of China: Climate change versus afforestation effect. Agricultural and Forest Meteorology,203, 74 – 87.

Xie, X.*, Meng, S., Liang, S., & Yao, Y. (2014). Improving streamflow predictions at ungauged locations with real-timeupdating: application of an EnKF-based state-parameter estimation strategy. Hydrology and Earth System Science,18(10), 3923-3936.

Xie, X.*, and Zhang D. (2013), A partitioned update scheme for state-parameter estimation of distributed hydrologic models based onthe ensemble Kalman filter. Water Resources Research, 49(11), 7350-7365.

Xie, X.*, and Cui Y. (2011). Development and test of SWAT for modelinghydrological processes in irrigation districts with paddy rice. Journal of Hydrology, 396 (1-2), 61-71.

Xie, X.*, and Zhang D. (2010). Data assimilation for distributed hydrological catchment modeling via ensemble Kalman filter. Advances in Water Resources, 33(6), 678-690.