Chaopeng Shen

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IEE Research Themes
Affiliate Researcher
Titles and Affiliations
Associate 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

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Recent Publications

Critical Risk Indicators (CRIs) for the electric power grid: a survey and discussion of interconnected effects

Che-Castaldo, J. P., Cousin, R., Daryanto, S., Deng, G., Feng, M. L. E., Gupta, R. K., Hong, D., McGranaghan, R. M., Owolabi, O. O., Qu, T., Ren, W., Schafer, T. L. J., Sharma, A., Shen, C., Sherman, M. G., Sunter, D. A., Tao, B., Wang, L. & Matteson, D. S., 2021, (Accepted/In press) In: Environment Systems and Decisions.

Research output: Contribution to journalArticlepeer-review

Mitigating Prediction Error of Deep Learning Streamflow Models in Large Data-Sparse Regions With Ensemble Modeling and Soft Data

Feng, D., Lawson, K. & Shen, C., Jul 28 2021, In: Geophysical Research Letters. 48, 14, e2021GL092999.

Research output: Contribution to journalArticlepeer-review

Transferring Hydrologic Data Across Continents – Leveraging Data-Rich Regions to Improve Hydrologic Prediction in Data-Sparse Regions

Ma, K., Feng, D., Lawson, K., Tsai, W. P., Liang, C., Huang, X., Sharma, A. & Shen, C., May 2021, In: Water Resources Research. 57, 5, e2020WR028600.

Research output: Contribution to journalArticlepeer-review

Continental-scale streamflow modeling of basins with reservoirs: Towards a coherent deep-learning-based strategy

Ouyang, W., Lawson, K., Feng, D., Ye, L., Zhang, C. & Shen, C., Aug 2021, In: Journal of Hydrology. 599, 126455.

Research output: Contribution to journalArticlepeer-review

Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data

Rahmani, F., Lawson, K., Ouyang, W., Appling, A., Oliver, S. & Shen, C., Feb 2021, In: Environmental Research Letters. 16, 2, 024025.

Research output: Contribution to journalArticlepeer-review

From hydrometeorology to river water quality: Can a deep learning model predict dissolved oxygen at the continental scale?

Zhi, W., Feng, D., Tsai, W. P., Sterle, G., Harpold, A., Shen, C. & Li, L., Feb 16 2021, In: Environmental Science and Technology. 55, 4, p. 2357-2368 12 p.

Research output: Contribution to journalArticlepeer-review

Integration of Multisource Data to Estimate Downward Longwave Radiation Based on Deep Neural Networks

Zhu, F., Li, X., Qin, J., Yang, K., Cuo, L., Tang, W. & Shen, C., 2021, (Accepted/In press) In: IEEE Transactions on Geoscience and Remote Sensing.

Research output: Contribution to journalArticlepeer-review

Evaluating the Potential and Challenges of an Uncertainty Quantification Method for Long Short-Term Memory Models for Soil Moisture Predictions

Fang, K., Kifer, D., Lawson, K. & Shen, C., Dec 2020, In: Water Resources Research. 56, 12, e2020WR028095.

Research output: Contribution to journalArticlepeer-review

Near-real-time forecast of satellite-based soil moisture using long short-term memory with an adaptive data integration kernel

Fang, K. & Shen, C., 2020, In: Journal of Hydrometeorology. 21, 3, p. 399-413 15 p.

Research output: Contribution to journalArticlepeer-review

Enhancing Streamflow Forecast and Extracting Insights Using Long-Short Term Memory Networks With Data Integration at Continental Scales

Feng, D., Fang, K. & Shen, C., Sep 1 2020, In: Water Resources Research. 56, 9, e2019WR026793.

Research output: Contribution to journalArticlepeer-review