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
Comment on Williams (2025): “Friends don't let friends use NSE or KGE for hydrologic model accuracy evaluation: A rant with data and suggestions for better practice”
Clark, M. P., Knoben, W. J. M., Spieler, D., Gründemann, G. J., Thébault, C., Vásquez, N. A., Wood, A. W., Song, Y., Shen, C., Carney, S. & van Werkhoven, K., Feb 2026, In: Environmental Modelling and Software. 197, 106869.Research output: Contribution to journal › Letter › peer-review
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
Distinct hydrologic response patterns and trends worldwide revealed by physics-embedded learning
Ji, H., Song, Y., Bindas, T., Shen, C., Yang, Y., Pan, M., Liu, J., Rahmani, F., Abbas, A., Beck, H., Lawson, K. & Wada, Y., Dec 2025, In: Nature communications. 16, 1, 9169.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
Ensembling differentiable process-based and data-driven models with diverse meteorological forcing datasets to advance streamflow simulation
Li, P., Song, Y., Pan, M., Lawson, K. & Shen, C., Dec 1 2025, In: Hydrology and Earth System Sciences. 29, 23, p. 6829-6861 33 p.Research output: Contribution to journal › Article › peer-review
From RNNs to Transformers: Benchmarking deep learning architectures for hydrologic prediction
Liu, J., Shen, C., O'Donncha, F., Song, Y., Zhi, W., Beck, H. E., Bindas, T., Kraabel, N. & Lawson, K., Dec 1 2025, In: Hydrology and Earth System Sciences. 29, 23, p. 6811-6828 18 p.Research output: Contribution to journal › Article › peer-review
The Value of Terrain Pattern, High-Resolution Data and Ensemble Modeling for Landslide Susceptibility Prediction
Liu, J., Shen, C., Pei, T., Kifer, D. & Lawson, K., Sep 2025, In: Journal of Geophysical Research: Machine Learning and Computation. 2, 3, e2024JH000460.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
Physics-Informed Machine Learning Framework for Predicting Rainfall-Induced Shallow Landslides in the Colorado Front Range
Pei, T., Maroufi, M., Shen, C. & Tian, Y., 2025, In: Geotechnical Special Publication. 2025-November, GSP 369, p. 97-106 10 p.Research output: Contribution to journal › Conference 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