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
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, (Accepted/In press) In: Georisk.Research output: Contribution to journal › 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
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
Comparison of deep learning models and a typical process-based model in glacio-hydrology simulation
Chen, X., Wang, S., Gao, H., Huang, J., Shen, C., Li, Q., Qi, H., Zheng, L. & Liu, M., Dec 2022, In: Journal of Hydrology. 615, 128562.Research output: Contribution to journal › Article › peer-review
The Data Synergy Effects of Time-Series Deep Learning Models in Hydrology
Fang, K., Kifer, D., Lawson, K., Feng, D. & Shen, C., Apr 2022, In: Water Resources Research. 58, 4, e2021WR029583.Research output: Contribution to journal › Article › peer-review
Differentiable, Learnable, Regionalized Process-Based Models With Multiphysical Outputs can Approach State-Of-The-Art Hydrologic Prediction Accuracy
Feng, D., Liu, J., Lawson, K. & Shen, C., Oct 2022, In: Water Resources Research. 58, 10, e2022WR032404.Research output: Contribution to journal › Article › peer-review
A Multiscale Deep Learning Model for Soil Moisture Integrating Satellite and In Situ Data
Liu, J., Rahmani, F., Lawson, K. & Shen, C., Apr 16 2022, In: Geophysical Research Letters. 49, 7, e2021GL096847.Research output: Contribution to journal › Article › peer-review
Physics-Guided Long Short-Term Memory Network for Streamflow and Flood Simulations in the Lancang–Mekong River Basin
Liu, B., Tang, Q., Zhao, G., Gao, L., Shen, C. & Pan, B., May 1 2022, In: Water (Switzerland). 14, 9, 1429.Research output: Contribution to journal › Article › peer-review
Constructing a Large-Scale Landslide Database Across Heterogeneous Environments Using Task-Specific Model Updates
Nagendra, S., Kifer, D., Mirus, B., Pei, T., Lawson, K., Manjunatha, S. B., Li, W., Nguyen, H., Qiu, T., Tran, S. & Shen, C., 2022, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15, p. 4349-4370 22 p.Research output: Contribution to journal › Article › peer-review