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
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
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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-review
Risk Assessment Framework for Statistical Analysis of Cut Slopes Using Track Inspection Videos and Satellite Imagery
Palese, M., Pei, T., Qiu, T., Zarembskia, A. M., Shen, C. & Palese, J. W., 2023, In: Geotechnical Special Publication. 2023-July, GSP 345, p. 235-244 10 p.Research output: Contribution to journal › Conference article › peer-review
Applying Knowledge-Guided Machine Learning to Slope Stability Prediction
Pei, T., Qiu, T. & Shen, C., Oct 1 2023, In: Journal of Geotechnical and Geoenvironmental Engineering. 149, 10, 04023089.Research output: Contribution to journal › Article › peer-review
Identifying Structural Priors in a Hybrid Differentiable Model for Stream Water Temperature Modeling
Rahmani, F., Appling, A., Feng, D., Lawson, K. & Shen, C., Dec 2023, In: Water Resources Research. 59, 12, e2023WR034420.Research output: Contribution to journal › Article › peer-review
A deep learning-based novel approach to generate continuous daily stream nitrate concentration for nitrate data-sparse watersheds
Saha, G. K., Rahmani, F., Shen, C., Li, L. & Cibin, R., Jun 20 2023, In: Science of the Total Environment. 878, 162930.Research output: Contribution to journal › Article › peer-review
Differentiable modelling to unify machine learning and physical models for geosciences
Shen, C., Appling, A. P., Gentine, P., Bandai, T., Gupta, H., Tartakovsky, A., Baity-Jesi, M., Fenicia, F., Kifer, D., Li, L., Liu, X., Ren, W., Zheng, Y., Harman, C. J., Clark, M., Farthing, M., Feng, D., Kumar, P., Aboelyazeed, D., Rahmani, F., & 11 others, Aug 2023, In: Nature Reviews Earth and Environment. 4, 8, p. 552-567 16 p.Research output: Contribution to journal › Article › peer-review
Hybrid forecasting: blending climate predictions with AI models
Slater, L. J., Arnal, L., Boucher, M. A., Chang, A. Y. Y., Moulds, S., Murphy, C., Nearing, G., Shalev, G., Shen, C., Speight, L., Villarini, G., Wilby, R. L., Wood, A. & Zappa, M., May 15 2023, In: Hydrology and Earth System Sciences. 27, 9, p. 1865-1889 25 p.Research output: Contribution to journal › Review article › peer-review