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
Comprehensive Global Assessment of 24 Gridded Precipitation Datasets Across 18 428 Catchments Using Hydrological Modeling
Abbas, A., Yang, Y., Pan, M., Tramblay, Y., Shen, C., Ji, H., Gebrechorkos, S. H., Pappenberger, F., Pyo, J. C., Feng, D., Huffman, G., Nguyen, P., Massari, C., Brocca, L., Tan, J. & Beck, H. E., Jun 3 2026, In: Hydrology and Earth System Sciences. 30, 11, p. 3399-3423 25 p.Research output: Contribution to journal › Article › peer-review
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
A Community Dataset for Large-Scale River Nitrogen Modeling in the United States
Chang, S. Y., Aboelyazeed, D., Sawadekar, K., Chavda, D., Shen, C. & Van Meter, K. J., Dec 2026, In: Scientific Data. 13, 1, 836.Research output: Contribution to journal › Article › 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, In: Georisk. 20, 2, p. 531-555 25 p.Research output: Contribution to journal › Article › peer-review
Toward transferable models for efficient spatiotemporal flood prediction across coastal-estuarine systems
Daramola, S., Muñoz, D. F. & Shen, C., Jun 4 2026, In: Cambridge Prisms: Coastal Futures. 4, e13.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
SWOT, Empiricism, and River Modeling
Gleason, C. J., Bates, P. D., Durand, M. T., Feng, D., Getirana, A., Lin, P., Oubanas, H., Pavelsky, T. M., Shen, C., Smith, L. C., Wang, J., Yamazaki, D., Yang, Y., An, H., Bennitt, F. B., Chuter, S. J., Fang, C., Flores, J. A., Friedmann, E. & Jarugula, S. & 18 others, , Aug 28 2026, In: Geophysical Research Letters. 53, 16, e2026GL124323.Research output: Contribution to journal › Article › 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
Geospatial Foundation Embeddings as Transferable Catchment Descriptors
Liu, J., Shen, C., Yang, Y., Ji, H., Lawson, K. & Kraabel, N., Aug 28 2026, In: Geophysical Research Letters. 53, 16, e2026GL122814.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
Comparing multi-model mosaic and multi-model combination methods to simulate streamflow across the contiguous USA
Thébault, C., Knoben, W. J. M., Addor, N., Newman, A. J., Spieler, D., Vásquez, N. A., Song, Y., Gründemann, G. J., Carney, S., Kumar, M., van Werkhoven, K., Shen, C., Wood, A. W. & Clark, M. P., Jun 29 2026, In: Hydrology and Earth System Sciences. 30, 12, p. 3945-3977 33 p.Research output: Contribution to journal › Article › peer-review
