Chaopeng Shen
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
In the News
Research Keywords
These keywords and phrases come from the publications and other research output of this person. See other researchers related to these topics by clicking on any keyword.
Projects
Recent Publications
Thank You to Our Peer Reviewers in 2025
Camporeale, E., Marino, R., Berger, T., Chen, Y., Folini, D., Fox, G., John, C. M., Li, X., Lucas, D., O’Malley, D., Tobias, S., Reichstein, M., Rundle, J., Shen, C., Wentzcovitch, R. & Wen, Y., Apr 2026, In: Journal of Geophysical Research: Machine Learning and Computation. 3, 2, e2026JH001360.Research output: Contribution to journal › Editorial › peer-review
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
A multi-objective physics-informed machine learning framework for landslide susceptibility mapping
Cui, H., Pei, T., Devineni, N., Tian, Y., Shen, C. & Ji, J., 2026, (Accepted/In press) In: Georisk.Research output: Contribution to journal › Article › peer-review
Thank You to Our 2025 Reviewers
Destouni, G., Castelletti, A., Fatichi, S., Islam, S., Jha, M. K., Kollet, S., Long, D., Miao, C., Moradkhani, H., Sawyer, A., Shen, C., Singha, K., Stahl, K., Wohl, E. & Zheng, Y., Apr 2026, In: Water Resources Research. 62, 4, e2026WR044159.Research output: Contribution to journal › Editorial › peer-review
A novel hybrid fine-tuning method for supercharging deep learning model development for hydrological prediction
Jahangir, M. S., Quilty, J., Shen, C., Scott, A., Steinschneider, S. & Adamowski, J., Jun 2026, In: Environmental Modelling and Software. 201, 106978.Research output: Contribution to journal › Article › peer-review
Regionalization of Hydrologic Behavior and Pothole Water Storage Dynamics in the Prairie Pothole Region
Rahmani, J., Shen, C. & Ameli, A. A., Feb 2026, In: Water Resources Research. 62, 2, e2025WR040280.Research output: Contribution to journal › Article › peer-review
DMFS: differentiable modeling for frozen soil thermodynamic characteristics
Ren, Y., Gou, L., Xiao, M., Liu, Z. & Shen, C., 2026, In: Canadian Geotechnical Journal. 63Research output: Contribution to journal › Article › peer-review
Analyzing the deep learning approach-based modeling framework to understand the critical environmental factors of predicting daily nitrate concentrations
Saha, G. K., Rahmani, F., Jacob, A., Shen, C., Duncan, J. & Cibin, R., Apr 15 2026, In: Journal of Environmental Management. 404, 129539.Research output: Contribution to journal › Article › peer-review
Physics-Informed, Differentiable Hydrologic Models for Capturing Unseen Extreme Events
Song, Y., Sawadekar, K., Frame, J. M., Pan, M., Clark, M. P., Knoben, W. J. M., Wood, A. W., Lawson, K. E., Patel, T. & Shen, C., Feb 2026, In: Water Resources Research. 62, 2, e2025WR040414.Research output: Contribution to journal › Article › 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
Thank You to Our Peer Reviewers in 2024
Camporeale, E., Marino, R., Berger, T., Chen, Y., Folini, D., Fox, G., Li, X., Lucas, D., Tobias, S., Reichstein, M., Rundle, J., Shen, C., Wentzcovitch, R. & Wen, Y., Mar 2025, In: Journal of Geophysical Research: Machine Learning and Computation. 2, 1, e2025JH000681.Research output: Contribution to journal › Editorial › peer-review
The First 18 Months of JGR: MLC
Camporeale, E., Marino, R., Rundle, J., Folini, D., Chen, Y., Lucas, D. D., Li, X., Berger, T. E., Fox, G. C., Wen, Y., Shen, C. & Wentzcovitch, R., Jun 2025, In: Journal of Geophysical Research: Machine Learning and Computation. 2, 2, e2025JH000797.Research output: Contribution to journal › Editorial › 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