Chaopeng Shen

Affiliate Researcher
Titles and Affiliations
Professor, Civil and Environmental Engineering

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

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Projects

Recent Publications

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 journalArticlepeer-review

Development of objective function-based ensemble model for streamflow forecasts

Lin, Y., Wang, D., Zhu, J., Sun, W., Shen, C. & Shangguan, W., Mar 2024, In: Journal of Hydrology. 632, 130861.

Research output: Contribution to journalArticlepeer-review

Bathymetry Inversion Using a Deep-Learning-Based Surrogate for Shallow Water Equations Solvers

Liu, X., Song, Y. & Shen, C., Mar 2024, In: Water Resources Research. 60, 3, e2023WR035890.

Research output: Contribution to journalArticlepeer-review

Probing the limit of hydrologic predictability with the Transformer network

Liu, J., Bian, Y., Lawson, K. & Shen, C., Jun 2024, In: Journal of Hydrology. 637, 131389.

Research output: Contribution to journalArticlepeer-review

Transfer learning framework for streamflow prediction in large-scale transboundary catchments: Sensitivity analysis and applicability in data-scarce basins

Ma, K., Shen, C., Xu, Z. & He, D., May 2024, In: Journal of Geographical Sciences. 34, 5, p. 963-984 22 p.

Research output: Contribution to journalArticlepeer-review

Metamorphic testing of machine learning and conceptual hydrologic models

Reichert, P., Ma, K., Höge, M., Fenicia, F., Baity-Jesi, M., Feng, D. & Shen, C., Jun 13 2024, In: Hydrology and Earth System Sciences. 28, 11, p. 2505-2529 25 p.

Research output: Contribution to journalArticlepeer-review

Performance evaluation of deep learning based stream nitrate concentration prediction model to fill stream nitrate data gaps at low-frequency nitrate monitoring basins

Saha, G., Shen, C., Duncan, J. & Cibin, R., Apr 2024, In: Journal of Environmental Management. 357, 120721.

Research output: Contribution to journalArticlepeer-review

Deep learning insights into suspended sediment concentrations across the conterminous United States: Strengths and limitations

Song, Y., Chaemchuen, P., Rahmani, F., Zhi, W., Li, L., Liu, X., Boyer, E., Bindas, T., Lawson, K. & Shen, C., Aug 2024, In: Journal of Hydrology. 639, 131573.

Research output: Contribution to journalArticlepeer-review

LSTM-Based Data Integration to Improve Snow Water Equivalent Prediction and Diagnose Error Sources

Song, Y., Tsai, W. P., Gluck, J., Rhoades, A., Zarzycki, C., McCrary, R., Lawson, K. & Shen, C., Jan 2024, In: Journal of Hydrometeorology. 25, 1, p. 223-237 15 p.

Research output: Contribution to journalArticlepeer-review

A differentiable, physics-informed ecosystem modeling and learning framework for large-scale inverse problems: demonstration with photosynthesis simulations

Aboelyazeed, D., Xu, C., Hoffman, F. M., Liu, J., Jones, A. W., Rackauckas, C., Lawson, K. & Shen, C., Jul 6 2023, In: Biogeosciences. 20, 13, p. 2671-2692 22 p.

Research output: Contribution to journalArticlepeer-review

The suitability of differentiable, physics-informed machine learning hydrologic models for ungauged regions and climate change impact assessment

Feng, D., Beck, H., Lawson, K. & Shen, C., Jun 30 2023, In: Hydrology and Earth System Sciences. 27, 12, p. 2357-2373 17 p.

Research output: Contribution to journalArticlepeer-review

Applying transfer learning techniques to enhance the accuracy of streamflow prediction produced by long Short-term memory networks with data integration

Khoshkalam, Y., Rousseau, A. N., Rahmani, F., Shen, C. & Abbasnezhadi, K., Jul 2023, In: Journal of Hydrology. 622, 129682.

Research output: Contribution to journalArticlepeer-review

Evaluating a global soil moisture dataset from a multitask model (GSM3 v1.0) with potential applications for crop threats

Liu, J., Hughes, D., Rahmani, F., Lawson, K. & Shen, C., Mar 17 2023, In: Geoscientific Model Development. 16, 5, p. 1553-1567 15 p.

Research output: Contribution to journalArticlepeer-review

How to enhance hydrological predictions in hydrologically distinct watersheds of the Indian subcontinent?

Mangukiya, N. K., Sharma, A. & Shen, C., Jul 2023, In: Hydrological Processes. 37, 7, e14936.

Research output: Contribution to journalArticlepeer-review

Hazard assessment framework for statistical analysis of cut slopes using track inspection videos and geospatial information

Palese, M., Pei, T., Qiu, T., Zarembski, A. M., Shen, C. & Palese, J. W., 2023, In: Georisk. 17, 4, p. 771-786 16 p.

Research output: Contribution to journalArticlepeer-review