Shen, Chaopeng

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., et al. (2023) · Hydrology and Earth System Sciences

Hydrological Forecasting Using AIMeteorological Phenomena and Simulations

Cited by 281

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. (2023) · Hydrology and Earth System Sciences

Hydrological Forecasting Using AIHydrology and Watershed Management Studies

Cited by 197

The Value of SMAP for Long-Term Soil Moisture Estimation With the Help of Deep Learning

Fang, K., Pan, M., & Shen, C. (2019) · IEEE Transactions on Geoscience and Remote Sensing

Soil Moisture and Remote SensingSoil Geostatistics and Mapping

Cited by 186

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. (2021) · Geophysical Research Letters

Hydrological Forecasting Using AIHydrology and Watershed Management Studies

Cited by 162

Ensembling differentiable process-based and data-driven models with diverse meteorological forcing datasets to advance streamflow simulation

Li, P., Song, Y., Pan, M., Lawson, K., & Shen, C. (2025) · Hydrology and Earth System Sciences

Hydrological Forecasting Using AIHydrology and Watershed Management Studies

Cited by 7