Research Summary
Areas of Interest: Large scale computational hydrology Land surface processes Water-carbon-nutrient interactions under global change Hydrologic scaling issues High performance subsurface reactive transport modeling
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Research Keywords
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Projects
Recent Publications
Inferring Plant Acclimation and Improving Model Generalizability With Differentiable Physics-Informed Machine Learning of Photosynthesis
Aboelyazeed, D., Xu, C., Gu, L., Luo, X., Liu, J., Lawson, K. & Shen, C., Jul 2025, In: Journal of Geophysical Research: Biogeosciences. 130, 7, e2024JG008552.Research output: Contribution to journal › Article › peer-review
Deep Learning and Remote-Sensed Observations Reveal Global Underestimation of River Obstructions
He, M., Niu, J., Riley, W. J., Shen, C., Zheng, Y., Melack, J. M., Gui, D., Qiu, H., Xie, M., Sun, L., Liu, D., Fu, Y., Wu, Q., Zhou, S., Wu, P. & Hu, B. X., Sep 2025, In: Water Resources Research. 61, 9, e2024WR039692.Research output: Contribution to journal › Article › peer-review
Update hydrological states or meteorological forcings? Comparing data assimilation methods for differentiable hydrologic models
Jamaat, A., Song, Y., Rahmani, F., Liu, J., Lawson, K. & Shen, C., Dec 2025, In: Journal of Hydrology. 663, 134137.Research output: Contribution to journal › Article › peer-review
Does grouping watersheds by hydrographic regions offer any advantages in fine-tuning transfer learning model for temporal and spatial streamflow predictions?
Khoshkalam, Y., Rousseau, A. N., Rahmani, F., Shen, C. & Abbasnezhadi, K., Apr 2025, In: Journal of Hydrology. 650, 132540.Research output: Contribution to journal › Article › peer-review
Technical note: How many models do we need to simulate hydrologic processes across large geographical domains?
Knoben, W. J. M., Raman, A., Gründemann, G. J., Kumar, M., Pietroniro, A., Shen, C., Song, Y., Thébault, C., Van Werkhoven, K., Wood, A. W. & Clark, M. P., Jun 4 2025, In: Hydrology and Earth System Sciences. 29, 11, p. 2361-2375 15 p.Research output: Contribution to journal › Article › peer-review
Advancing Sub-Seasonal to Seasonal Streamflow Forecasting in Canada: A Review of Conventional and Emerging Approaches for Operational Applications
Nguyen, D. H., Elshorbagy, A., Khaliq, M. N., Shen, C., Akhtar, M. K., Moghairib, M., Unduche, F., Razavi, S. & Lamontagne, P., Sep 2025, In: Results in Engineering. 27, 106345.Research output: Contribution to journal › Review article › peer-review
Probabilistic Diffusion Models Advance Extreme Flood Forecasting
Ou, Z., Nai, C., Pan, B., Zheng, Y., Shen, C., Jiang, P., Liu, X., Tang, Q., Li, W. & Pan, M., Aug 16 2025, In: Geophysical Research Letters. 52, 15, e2025GL115705.Research output: Contribution to journal › Article › peer-review
Uncertainties as a Guide for Global Water Model Advancement
Reinecke, R., Stein, L., Gnann, S., Andersson, J. C. M., Arheimer, B., Bierkens, M., Bonetti, S., Güntner, A., Kollet, S., Mishra, S., Moosdorf, N., Nazari, S., Pokhrel, Y., Prudhomme, C., Schewe, J., Shen, C. & Wagener, T., May 1 2025, In: Wiley Interdisciplinary Reviews: Water. 12, 3, e70025.Research output: Contribution to journal › Review article › peer-review
Improving differentiable hydrologic modeling with interpretable forcing fusion
Sawadekar, K., Song, Y., Pan, M., Beck, H., McCrary, R., Ullrich, P., Lawson, K. & Shen, C., Oct 2025, In: Journal of Hydrology. 659, 133320.Research output: Contribution to journal › Article › peer-review
High-Resolution National-Scale Water Modeling Is Enhanced by Multiscale Differentiable Physics-Informed Machine Learning
Song, Y., Bindas, T., Shen, C., Ji, H., Knoben, W. J. M., Lonzarich, L., Clark, M. P., Liu, J., van Werkhoven, K., Lamont, S., Denno, M., Pan, M., Yang, Y., Rapp, J., Kumar, M., Rahmani, F., Thébault, C., Adkins, R., Halgren, J. & Patel, T. & 3 others, , Apr 2025, In: Water Resources Research. 61, 4, e2024WR038928.Research output: Contribution to journal › Article › peer-review
Calibration of the High-Resolution Common Land Model in Simulating the Soil Moisture Over the Northeastern China Using an Adaptive Parameter Learning Method
Yang, L., Li, J., Dai, Y., Lu, X., Shen, C., Zhao, P., Zhang, G. & Zhang, Y., Apr 28 2025, In: Journal of Geophysical Research: Atmospheres. 130, 8, e2024JD043230.Research output: Contribution to journal › Article › peer-review
Global Daily Discharge Estimation Based on Grid Long Short-Term Memory (LSTM) Model and River Routing
Yang, Y., Feng, D., Beck, H. E., Hu, W., Abbas, A., Sengupta, A., Delle Monache, L., Hartman, R., Lin, P., Shen, C. & Pan, M., Jun 2025, In: Water Resources Research. 61, 6, e2024WR039764.Research output: Contribution to journal › Article › peer-review
Widespread Advances in Corn and Soybean Phenology in Response to Future Climate Change Across the United States
Yang, Y., Tao, B., Ruane, A. C., Shen, C., Matteson, D. S., Cousin, R. & Ren, W., Apr 2025, In: Journal of Geophysical Research: Biogeosciences. 130, 4, e2024JG008266.Research output: Contribution to journal › Article › peer-review
Spatiotemporal Variability of Channel Roughness and its Substantial Impacts on Flood Modeling Errors
Al Mehedi, M. A., Saki, S., Patel, K., Shen, C., Cohen, S., Smith, V., Rajib, A., Anagnostou, E., Bindas, T. & Lawson, K., Jul 2024, In: Earth's Future. 12, 7, e2023EF004257.Research output: Contribution to journal › Article › peer-review
Improving River Routing Using a Differentiable Muskingum-Cunge Model and Physics-Informed Machine Learning
Bindas, T., Tsai, W. P., Liu, J., Rahmani, F., Feng, D., Bian, Y., Lawson, K. & Shen, C., Jan 2024, In: Water Resources Research. 60, 1, e2023WR035337.Research output: Contribution to journal › Article › peer-review