张莹，博士，中国科学院西北生态环境资源研究院副研究员。主要从事水文遥感大数据同化与人工智能研究，主要包括：（1）水文数据同化系统开发；（2）数字孪生流域系统开发；（3）水文智能体开发。

地图学与地理信息系统（遥感大数据同化与人工智能）

1. Zhang, Y., Hou, J. L., Gu, J., Huang, C. L., & Li, X. (2017). SWAT-Based Hydrological Data Assimilation System (SWAT-HDAS): Description and Case Application to River Basin-Scale Hydrological Predictions. Journal of Advances in Modeling Earth Systems, 9(8), 2863-2882.

2. Zhang, Y., Hou, J. H., Cao, Y. P., Gu, J., & Huang, C. L. (2017). OpenMP parallelization of a gridded SWAT (SWATG). Computers & Geosciences, 109, 228-237.

3. Zhang, Y., Hou, J., & Huang, C. (2022). Integration of Satellite-Derived and Ground-Based Soil Moisture Observations for a Precipitation Product over the Upper Heihe River Basin, China. Remote Sensing, 14(21), 5355.7.

4. Huang, C., Zhang, Y.*, & Hou, J. (2024). Soil and Water Assessment Tool (SWAT)-Informed Deep Learning for Streamflow Forecasting with Remote Sensing and In Situ Precipitation and Discharge Observation. Remote Sensing, 16(21),3999.

5. Zhang, Y., Huang, C., Li, G., Hou, J., Dou, P., & Chen, W. (2026). ECHO: an integrated model fusing remote sensing and AI for dynamic water resource assessment. International Journal of Digital Earth, 19(1). https://doi.org/10.1080/17538947.2026.2650061

国家自然科学基金面上项目，联合时空特征学习的径流数据同化研究（2025–2028）;

国家自然科学基金青年科学基金项目，多源地面与遥感观测联合的径流数据同化方法研究（2019–2021）;

地方自然科学基金项目，基于深度学习与数据同化的模型参数优化研究（2022–2024）