Journal Articles
- Chaopeng Shen, Yalan Song, Kamlesh Sawadekar, Jonathan Frame, Ming Pan, Martyn Clark, Wouter Knoben, Andrew Wood, Kathryn Lawson and Trupesh Patel, 2026, "Physics-informed, differentiable hydrologic models for capturing unseen extreme events", Water Resources Research, 62, (2)
- Chaopeng Shen, Yuhao Ren, Lingyun Gou, Ming Xiao and Zhen Liu, 2026, "DMFS: Differentiable modeling for frozen soil thermodynamic characteristics", Canadian Geotechnical Journal
- Chaopeng Shen, Martyn P. Clark, Wouter J.M. Knoben, Diana Spieler, Gaby J. Gründemann, Cyril Thébault, Nicolas A. Vásquez, Andy W. Wood, Yalan Song, Shaun Carney and Katie van Werkhoven, 2026, "Comment on?: “Friends don’t let friends use NSE or KGE for hydrologic model accuracy evaluation: A rant with data and suggestions for better practice.”", Environmental Modelling & Software, 197
- Chaopeng Shen, Javad Rahmani and Ali A. Ameli, 2026, "Regionalization of hydrologic behavior and pothole water storage dynamics in the Prairie Pothole Region", Water Resources Research, 62, (2)
- Chaopeng Shen, Da Fan, David John Gagne, Steven J. Greybush, Eugene E. Clothiaux and John S. Schreck, 2026, "Bayesian deep learning for convective initiation nowcasting uncertainty estimation", Artificial Intelligence for the Earth Systems
- Chaopeng Shen, Shuyu Chang, Doaa Aboelyazeed, Kamlesh Sawadekar, Digant Chavda and Kimberly Van Meter, 2026, "IWAND-Nitrogen: A Community Dataset for Large-Scale River Nitrogen Modeling in the United States", Scientific Data
- Chaopeng Shen, Yegane Khoshkalam, Alain Rousseau, Farshid Rahmani and Kian Abbasnezhadi, 2025, "Does grouping watersheds by hydrographic regions offer any advantages in fine-tuning transfer learning model for temporal and spatial streamflow predictions?", Journal of Hydrology, 650
- Chaopeng Shen, Yalan Song, Tadd Bindas, Haoyu Ji, Wouter J.M. Knoben, Leo Lonzarich, Martyn Clark, Jiangtao Liu, Katie van Werkhoven, Sam Lemont, Matthew Denno, Ming Pan, Yuan Yang, Jeremy Rapp, Mukesh Kumar, Farshid Rahmani, Cyril Thébault, Kamlesh Sawadekar, Kathryn Lawson, Richard Adkins, James Halgren, Trupesh Patel and Arpita Patel, 2025, "High-resolution national-scale water modeling is enhanced by multiscale differentiable physics-informed machine learning", Water Resources Research, 61, (4)
- Chaopeng Shen, Jiangtao Liu, Te Pei, Daniel Kifer and Kathryn Lawson, 2025, "The value of terrain pattern, high-resolution data and ensemble modeling for landslide susceptibility prediction", Journal of Geophysical Research: Machine Learning and Computation, 2, (3)
- Chaopeng Shen, Amirmoez Jamaat, Yalan Song, Farshid Rahmani, Jiangtao Liu and Kathryn Lawson, 2025, "Update hydrological states or meteorological forcings? Comparing data assimilation methods for differentiable hydrologic models", Journal of Hydrology, 663
- Chaopeng Shen, Peijun Li, Yalan Song, Ming Pan and Kathryn Lawson, 2025, "Ensembling differentiable process-based and data-driven models with diverse meteorological forcing datasets to advance streamflow simulation", Hydrology and Earth System Sciences, 29, (23)
- Chaopeng Shen, Doaa Aboelyazeed, Chonggang Xu, Lianhong Gu, Xiangzhong Luo, Jiangtao Liu and Kathryn Lawson, 2025, "Inferring plant acclimation and improving model generalizability with differentiable physics-informed machine learning of photosynthesis", Journal of Geophysical Research: Biogeosciences, 130, (7)
- Chaopeng Shen, Wouter Knoben, Ashwin Raman, Gaby Gründemann, Mukesh Kumar, Alain Pietroniro, Yalan Song, Cyril Thébault, Katie van Werkhoven, Andrew Wood and Martyn Clark, 2025, "Technical note: How many models do we need to simulate hydrologic processes across large geographical domains", Hydrology and Earth System Sciences, 29, (11)
- Chaopeng Shen, Robert Reinecke, Lina Stein, Sebastian Gnann, Jafet Andersson, Berit Arheimer, Marc Bierkens, Sara Bonetti, Andreas Güntner, Stefan Kollet, Sulagna Mishra, Nils Moosdorf, Sara Nazari, Yadu Pokhrel, Christel Prudhomme, Jacob Schewe and Thorsten Wagener, 2025, "Uncertainties as a guide for global water model advancement", WIREs Water, 12, (3)
- Chaopeng Shen, Mingxia He, William Riley, Yi Zheng, Dongwei Gui, Mengyu Xie, Yong Fu, Qixin Wu, Shaoqi Zhou, Pan Wu, Bill X. Hu, Jie Niu, John M. Melack, Han Qiu, Liwei Sun and Dongdong Liu, 2025, "Deep learning and remote-sensed observations reveal global underestimation of river obstructions", Water Resources Research, 61, (9)
- Chaopeng Shen, Kamlesh Sawadekar, Yalan Song, Ming Pan, Hylke Beck, Rachel McCrary, Paul Ullrich and Kathryn Lawson, 2025, "Improving differentiable hydrologic modeling with interpretable forcing fusion", Journal of Hydrology, 659
- Chaopeng Shen, Zhigang Ou, Congyi Nai, Baoxiang Pan, Peishi Jiang, Xingcai Liu, Qiuhong Tang, Wenqing Li, Yi Zheng and Ming Pan, 2025, "Probabilistic diffusion models advance extreme flood forecasting", Geophysical Research Letters, 52, (13)
- Chaopeng Shen, Duc Hai Nguyen, Amin Elshorbagy, Muhammad Naveed Khaliq, Mohammad Khaled Akhtar, Mohamed Moghairib, Fisaha Unduche, Saman Razavi and Philippe Lamontagne, 2025, "Advancing sub-seasonal to seasonal streamflow forecasting in Canada: a review of conventional and emerging approaches for operational applications", Results in Engineering, 27
- Chaopeng Shen, Luyao Yang, Juanduo Li, Yongjiu Dai, Xingjie Lu, Ping Zhao, Guo Zhang and Yanwu Zhang, 2025, "Calibration of the high-resolution common land model in simulating the soil moisture over the northeastern China using an adaptive parameter learning method", Journal of Geophysical Research: Atmospheres, 130, (8)
- Chaopeng Shen, Yuan Yang, Dapeng Feng, Mu Xiao, Taylor Dixon, Robert Hartman, Yalan Song, Arniv Sengupta, Luca Delle Monache and F. Martin Ralph, 2025, "Improving streamflow simulation through machine learning-powered data integration and its implications for forecasting in the western U.S.", Hydrology and Earth System Sciences, 29, (20)
- Chaopeng Shen, Jiangtao Liu, Fearghal O'Donncha, Yalan Song, Wei Zhi, Hylke E. Beck, Tadd Bindas, Nicholas Kraabel and Kathryn Lawson, 2025, "From RNNs to transformers: Benchmarking deep learning architectures for hydrologic prediction", Hydrology and Earth System Sciences, 29, (23)
- Chaopeng Shen, Haoyu Ji, Yalan Song, Tadd Bindas, Yuan Yang, Ming Pan, Jiangtao Liu, Farshid Rahmani, Ather Abbas, Hylke Beck, Yoshihide Wada and Kathryn Lawson, 2025, "Distinct hydrologic response patterns and trends worldwide revealed by physics-embedded learning", Nature Communications
- Chaopeng Shen, Yang Yanjun, Bo Tao, Alex C. Ruane, David S. Matteson, Wei Ren and Rémi Cousin, 2025, "Widespread advances in corn and soybean phenology in response to future climate change across the United States", Journal of Geophysical Research: Biogeosciences, 130, (4)
- Chaopeng Shen, Yuan Yang, Dapeng Feng, Hylke E. Beck, Weiming Hu, Agniv Sengupta, Luca Delle Monache, Robert Hartman, Peirong Lin, Ming Pan and Ather Abbas, 2025, "Global daily discharge estimation based on grid long short-term memory (LSTM) model and river routing", Water Resources Research, 61, (6)
- Chaopeng Shen, Xiaofeng Liu and Yalan Song, 2024, "Bathymetry Inversion using a Deep-Learning-Based Surrogate for Shallow Water Equations Solvers", Water Resources Research, 60, (3)
- Chaopeng Shen, Tadd Bindas, Wen-Ping Tsai, Jiangtao Liu, Farshid Rahmani, Dapeng Feng, Yuchen Bian and Kathryn Lawson, 2024, "Improving large-basin river routing using a differentiable Muskingum-Cunge model and physics-informed machine learning", Water Resources Research, 60, (1)
- Chaopeng Shen, Yalan Song, Wen-Ping Tsai, Jonah Gluck, Alan Rhoades, Colin Zarzyckie, Rachel McCrary and Kathryn Lawson, 2024, "LSTM-based data integration to dramatically improve one-month-ahead snow water equivalent forecast and diagnose error sources", Journal of Hydrometeorology, 25, (1), pp. 223-237
- Chaopeng Shen, Piyaphat Chaemchuen, Yalan Song, Farshid Rahmani, Wei Zhi, Li Li, Xiaofeng Liu, Elizabeth Boyer, Tadd Bindas and Kathryn Lawson, 2024, "Deep learning insights into suspended sediment concentrations across the conterminous United States: Strengths and limitations", Journal of Hydrology, 639
- Chaopeng Shen, Gourab Saha, Jonathan Duncan and Raj Cibin, 2024, "Performance evaluation of deep learning based stream nitrate concentration prediction model to fill stream nitrate data gaps at low-frequency nitrate monitoring basins", Journal of Environmental Management, 357
- Chaopeng Shen, Yalan Song, Wouter J. M. Knoben, Martyn P. Clark, Dapeng Feng, Kathryn Lawson and Kamlesh Sawadekar, 2024, "When ancient numerical demons meet physics-informed machine learning: Adjoint-based gradients for implicit differentiable modeling", Hydrology and Earth System Sciences, 28, (13), pp. 3051-3077
- Chaopeng Shen, Dapeng Feng, Hylke Beck, Jens de Bruijn, Reetik Kumar Sahu, Yusuke Satoh, Yoshihide Wada, Jiangtao Liu, Ming Pan and Kathryn Lawson, 2024, "Deep dive into global hydrologic simulations: Harnessing the power of deep learning and physics-informed differentiable models (dHBV-globe1.0-hydroDL)", Geoscientific Model Development, 17, (18), pp. 7181-7198
- Chaopeng Shen, Shuyu Y. Chang, Zahra Ghahremani, Laura Manuel, Seyed Mohammad Hassan Erfani, Sagy Cohen, Kimberly Van Meter, Jennifer L. Pierce, Ehab A. Meselhe and Erfan Goharian, 2024, "The geometry of flow: Advancing predictions of river geometry with multi-model machine learning", Water Resources Research, 60, (10)
- Chaopeng Shen, Kai Ma, Ziyue Xu and Daming He, 2024, "Transfer Learning Framework for Streamflow Prediction in Large-Scale Transboundary Catchments: Sensitivity Analysis and Applicability in Data Scarcity", Journal of Geographical Sciences, 34, (5), pp. 963-984
- Chaopeng Shen, Yongen Lin, Dagang Wang, Jinxin Zhu, Wei Sun and Wei Shangguan, 2024, "Development of objective function-based ensemble model for streamflow forecasts", Journal of Hydrology, 632
- Chaopeng Shen, Jiangtao Liu, Yuchen Bian and Kathryn Lawson, 2024, "Probing the limit of hydrologic predictability with the Transformer network", Journal of Hydrology, 637
- Chaopeng Shen, Peter Reichert, Kai Ma, Marvin Höge, Fabrizio Fenicia, Marco Baity-Jesi and Dapeng Feng, 2024, "Metamorphic Testing of Machine Learning and Conceptual Hydrologic Models", Hydrology and Earth System Sciences, 28, (11), pp. 2505-2529
- Chaopeng Shen, Wei Zhi, Hubert Baniecki, Jiangtao Liu, Elizabeth W Boyer, Gary Shenk, Xiaofeng Liu and Li Li, 2024, "Increasing Phosphorus Loss Despite Widespread Concentration Decline in US Rivers", Proceedings of the National Academy of Sciences, 121, (48)
- Chaopeng Shen, Md Abdullah Al Mehedi, Shah Saki, Krutikkumar Patel, Sagy Cohen, Virginia Smith, Adnan Rajib, Emmanouil Anagnostou, Kathryn Lawson and Tadd Bindas, 2024, "Spatiotemporal variability of channel roughness and its substantial impacts on flood modeling errors", Earth's Future, 12, (7)
- Chaopeng Shen, Farshid Rahmani, Alison Appling, Kathryn Lawson and Dapeng Feng, 2023, "Identifying structural priors in a hybrid differentiable model for stream water temperature modeling.", Water Resources Research, 59, (12)
- Chaopeng Shen, Alison Appling, Pierre Gentine, Toshiyuki Bandai, Hoshin Gupta, Alexandre Tartakovsky, Marco Baity-Jesi, Fabrizio Fenicia, Daniel Kifer, Li Li , Xiaofeng Liu, Wei Ren, Yi Zheng, Ciaran Harman, Martyn Clark, Matthew Farthing, Dapeng Feng, Praveen Kumar, Doaa Aboelyazeed, Farshid Rahmani, Hylke Beck, Tadd Bindas, Dipankar Dwivedi, Kuai Fang, Marvin Höge, Chris Rackauckas, Tirthankar Roy, Chonggang Xu and Kathryn Lawson, 2023, "Differentiable modeling to unify machine learning and physical models and advance Geosciences", Nature Reviews Earth and Environment, 4, (8), pp. 552-567
- Chaopeng Shen, Jiangtao Liu, David Hughes, Farshid Rahmani and Kathryn Lawson, 2023, "Evaluating a global soil moisture dataset from a multitask model (GSM3 v1.0) for current and emerging threats to crops", Geoscientific Model Development Discussions
- Chaopeng Shen, Doaa Aboelyazeed, Chonggang Xu, Forrest M. Hoffman, Alex Jones, Chris Rackauckas and Kathryn Lawson, 2023, "A differentiable ecosystem modeling framework for large-scale inverse problems: demonstration with photosynthesis simulations", Biogeosciences Discussions
- Wei Zhi, Wenyu Ouyang, Chaopeng Shen and Li Li, 2023, "Temperature as the predominant driver of dissolved oxygen in US rivers", Nature Water, 1, (3), pp. 249-260
- Chaopeng Shen, Yalan Song and Xiaofeng Liu, 2023, "A Surrogate Model for Shallow Water Equations Solvers with Deep Learning", Journal of Hydraulic Engineering, 149, (11), pp. 04023045
- Chaopeng Shen, Gourab Saha, Farshid Rahmani, Cibin Raj and Li Li, 2023, "A deep learning-based novel approach to generate continuous daily stream nitrate concentration for nitrate data-sparse watersheds", Science of the Total Environment
- Chaopeng Shen, Louise Slater, Louise Arnal, Marie-Amélie Boucher, Annie Y.-Y. Chang, Simon Moulds, Conor Murphy, Grey Nearing, Guy Shalev, Linda Speight, Gabriele Villarini, Robert L. Wilby, Andrew Wood and Massimiliano Zappa, 2023, "Hybrid forecasting: blending climate predictions with AI models", Hydrology and Earth System Sciences, 27, (9), pp. 1865-1889
- Chaopeng Shen, Michael Palese, Te Pei, Allan Zarembski, Tong Qiu and Joseph Palese, 2023, "Hazard assessment framework for statistical analysis of cut slopes using track inspection videos and geospatial information", Georisk
- Chaopeng Shen, Te Pei and Tong Qiu, 2023, "Applying Physics-Guided Machine Learning to Slope Stability Prediction", Journal of Geotechnical and Geoenvironmental Engineering, 149, (10)
- Chaopeng Shen, Nikunj Mangukiya and Ashutosh Sharma, 2023, "How to enhance hydrological predictions in hydrologically distinct watersheds of the Indian subcontinent?", Journal of Hydrology, 37, (7)
- Chaopeng Shen, Dapeng Feng, Hylke Beck and Kathryn Lawson, 2023, "The suitability of differentiable, learnable hydrologic models for ungauged regions and climate change impact assessment", Hydrology and Earth System Sciences, 27, (12), pp. 2357-2373
- Chaopeng Shen, Yingying Yao, Yufeng Zhao, Xin Li, Dapeng Feng, Chuankun Liu, Xingxing Kuang and Chunmiao Zhang, 2023, "Can Transfer Learning Improve Hydrological Predictions in the Alpine Regions?", Journal of Hydrology, 625
- Chaopeng Shen, Yegane Khoshkalam, Alain N. Rousseau, Farshid Rahmani and Kian Abbasnezhadi, 2023, "Applying Transfer Learning Techniques to Enhance the Accuracy of Streamflow Prediction Produced by Long Short-term Memory Networks with Data Integration", Journal of Hydrology, 622
- Jiangtao Liu, Farshid Rahmani, Kathryn Lawson and Chaopeng Shen, 2022, "A multiscale deep learning model for soil moisture integrating satellite and in-situ data", Geophysical Research Letters, 49, (7)
- Chaopeng Shen, Dapeng Feng, Jiangtao Liu and Kathryn Lawson, 2022, "Differentiable, learnable, regionalized process-based models with physical outputs can approach state-of-the-art hydrologic prediction accuracy", Water Resources Research
- Olukunle Oladipo, Deborah Sunter, Mila Sherman, Sanhita Sengupta, Kathryn Lawson and Chaopeng Shen, 2022, "A robust statistical analysis of the role of hydropower on the system electricity price and price volatility", Environmental Research Communications
- Savinay Nagendra, Daniel Kifer, Benjamin Mirus, Te Pei, Kathryn Lawson, Srikanth Banagere Manjunatha, Weixin Li, Hien Nguyen, Tong Qiu, Sarah Tran and Chaopeng Shen, 2022, "Constructing a large-scale landslide database across heterogeneous environments using learning without forgetting", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15
- Chaopeng Shen, Binxiao Li, Qiuhong Tang, Gang Zhao and Liang Gao, 2022, "Physics-guided long short-term memory network for streamflow and flood simulations in the Lancang-Mekong River Basin", Water
- Chaopeng Shen, Kayalvizhi Sadayappan, Devon Kerins and Li Li, 2022, "Riverine nitrate concentrations predominantly driven by human, climate, and soil property in the Contiguous United States", Water Research
- Chaopeng Shen, X Chen, Sheng Wang, Hongkai Gao, Jiaxu Huang, Qingli Li, Honggang Qi, Laiwen Zheng and Min Liu, 2022, "Comparison of deep learning models and a typical process-based model in glacio-hydrology simulation", Journal of Hydrology
- Farshid Rahmani, Chaopeng Shen, Samantha Oliver, Kathryn Lawson and Alison Appling, 2021, "Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins", Hydrological Processes, 35, (11)
- Wen-Ping Tsai, Ming Pan, Kathryn Lawson, Jiangtao Liu, Dapeng Feng and Chaopeng Shen, 2021, "From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling", Nature Communications, 12, (5988)
- Kang Xie, Pan Liu , Jianyun Zhang, Dongyang Han, Guoqing Wang and Chaopeng Shen, 2021, "Physics-guided deep learning for rainfall-runoff modeling by considering extreme events and monotonic relationships", Journal of Hydrology, 603, (C)
- Wenyu Ouyang, Kathryn Lawson, Dapeng Feng, Lei Ye, Chi Zhang and Chaopeng Shen, 2021, "Continental-scale streamflow modeling of basins with reservoirs: Towards a coherent deep-learning-based strategy", Journal of Hydrology, 599, pp. 126455
- Dapeng Feng, Kathryn Lawson and Chaopeng Shen, 2021, "Mitigating Prediction Error of Deep Learning Streamflow Models in Large Data-Sparse Regions With Ensemble Modeling and Soft Data", Geophysical Research Letters, 48, (14)
- Judy P Che-Castaldo, Cousin, R\'emi, Stefani Daryanto, Grace Deng, Mei-Ling E Feng, Rajesh K Gupta, Dezhi Hong, Ryan M McGranaghan, Olukunle O Owolabi, Tianyi Qu, Wei Ren, Toryn Schafer, Ashutosh Sharma, Chaopeng Shen, Mila Getmansky Sherman, Deborah A. Sunter, Lan Wang and David S. Matteson, 2021, "Critical Risk Indicators (CRIs) for the electric power grid: A survey and discussion of interconnected effects", Environment Systems and Decisions, 41
- Kuai Fang, Daniel Kifer, Kathryn Lawson, Dapeng Feng and Chaopeng Shen, 2021, "The data synergy effects of time-series deep learning models in hydrology", Water Resources Research
- Kai Ma, Dapeng Feng, Kathryn Lawson, Wen-Ping Tsai, Chuan Liang, Xiaorong Huang, Ashutosh Sharma and Chaopeng Shen, 2021, "Transferring hydrologic data across continents--leveraging US data to improve hydrologic prediction in other countries", Water Resources Research
- Chaopeng Shen, Xingyuan Chen and Eric Laloy, 2021, "Editorial: Broadening the Use of Machine Learning in Hydrology", Frontiers in Water, 3, pp. 38
- Farshid Rahmani, Kathryn Lawson, Wenyu Ouyang, Alison Appling, Samantha Oliver and Chaopeng Shen, 2021, "Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data", Environmental Research Letters, 16, (2), pp. 024025
- Wei Zhi, Dapeng Feng, Wen-Ping Tsai, Gary Sterle, Adrian Harpold, Chaopeng Shen and Li Li, 2021, "From Hydrometeorology to River Water Quality: Can a Deep Learning Model Predict Dissolved Oxygen at the Continental Scale?", Environmental Science & Technology, 55, (4), pp. 2357--2368
- Fuxin Zhu, Xin Li, Jun Qin, Kun Yang, Lan Cuo, Wenjun Tang and Chaopeng Shen, 2021, "Integration of Multisource Data to Estimate Downward Longwave Radiation Based on Deep Neural Networks", IEEE Transactions on Geoscience and Remote Sensing, 60, pp. 1-15
- Wen-Ping Tsai, Kuai Fang, Xinye Ji, Kathryn Lawson and Chaopeng Shen, 2020, "Revealing causal controls of storage-streamflow relationships with a data-centric Bayesian framework combining machine learning and process-based modeling", Frontiers in Water, 2, pp. 40
- Kuai Fang and Chaopeng Shen, 2020, "Near-real-time forecast of satellite-based soil moisture using long short-term memory with an adaptive data integration kernel", Journal of Hydrometeorology, (2020)
- Dapeng Feng, Kuai Fang and Chaopeng Shen, 2020, "Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales", Water Resources Research, 56, (9), pp. e2019WR026793
- Kuai Fang, Daniel Kifer, Kathryn Lawson and Chaopeng Shen, 2020, "Evaluating the Potential and Challenges of an Uncertainty Quantification Method for Long Short-Term Memory Models for Soil Moisture Predictions", Water Resources Research, 56, (12), pp. e2020WR028095
- Kuai Fang, Xinye Ji, Chaopeng Shen, Noel Ludwig, Peter Godfrey, Tasnuva Mahjabin and Christine Doughty, 2019, "Combining a land surface model with groundwater model calibration to assess the impacts of groundwater pumping in a mountainous desert basin", Advances in Water Resources, 130, pp. 12-28
- Nuan Sun, Kuai Fang and Chaopeng Shen, 2019, "Toward a Priori Evaluation of Relative Worth of Head and Conductivity Data as Functions of Data Densities in Inverse Groundwater Modeling", Water, 11, (6), pp. 1202
- Chaopeng Shen, Xinye Ji, John M Melack, Lance Lesack, Shilong Wang and William J Riley, 2019, "Seasonal patterns and controls of hydrological fluxes in an Amazon floodplain lake with a surface-subsurface processes model", Water Resources Research
- Chaopeng Shen, Ying Fan, Martyn Clark, David Lawrence, Sean Swenson, Lawrence E Band, Susan Brantley, Paul Brooks, William Dietrich, Alejandro Flores, Gordon Grant, James Kirchner, Scott Mackay, Jeffrey McDonnell, Paul Milly, Pamela Sullivan, Christina Tague, Hoori Ajami, Nathaniel Chaney, Andreas Hartmann, Pieter Hazenberg, James McNamara, Jon Pelletier, Justin Perket, Elham Rouholahnejad, Thorsten Wagener, Xubin Zeng, Edward R. Beighley, Jonathan Buzan, Maoyi Huang, Ben Livneh, Binayak Mohanty, Bart Nijssen, Mohammad Safeeq, Willem van Verseveld, John Volk and Dai Yamazaki, 2019, "Hillslope Hydrology in Global Change Research and Earth System Modeling", Water Resources Research
- Chaopeng Shen, Eric Laloy, Amin Elshorbagy, Adrian Albert, Jerad Bales, Fi-John Chang, Sangram Ganguly, Kuo-lin Hsu, Daniel Kifer, Zheng Fang, Kuai Fang, Dongfeng Li, Xiaodong Li and Wen-Ping Tsai, 2018, "HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community", Hydrology and Earth System Sciences
- Chaopeng Shen, Kuai Fang and Ming Pan, 2018, "The value of SMAP for long-term soil moisture estimation with the help of deep learning", Transactions on Geoscience and Remote Sensing
- Chaopeng Shen, 2018, "A trans-disciplinary review of deep learning research and its relevance for water resources scientists", Water Resources Research
- Robert Gilles, Shih-Yu Wang, Oi-Yu Chung and Chaopeng Shen, 2018, "Cross-basin decadal climate regime connecting the Colorado River and the Great Salt Lake", Journal of Hydrometeorology, 19, (4), pp. 659-665
- Chaopeng Shen, 2018, "Deep learning: A next-generation big-data approach for hydrology", Eos
- Chaopeng Shen and XY Ji, 2018, "The introspective may achieve more: Enhancing existing Geoscientific models with native-language emulated structural reflection", Computers and Geosciences, 110, (1), pp. 32-40
- Chaopeng Shen, Jie Niu, John M Melack, William J Riley and Jeffery Chambers, 2017, "Interannual Variation in Hydrologic Budgets in an Amazonian Watershed with a Coupled Subsurface - Land Surface Process Model", Journal of Hydrometerology, 18, (9), pp. 2597-2617
- Chaopeng Shen and Kuai Fang, 2017, "Full-flow-regime storage-streamflow correlation patterns provide insights into hydrologic functioning over the continental US", Water Resources Research, 53, (9), pp. 8064-8083
- Chaopeng Shen, Xiaofeng Liu and Yunxiang Chen, 2016, "Coupled Two-dimensional Surface Flow and Three-dimensional Sub-surface Flow Modeling for the Drainage of Permeable Road Pavement", Journal of Hydrologic Engineering, 04016051, pp. 1-13
- Chaopeng Shen, Kuai Fang, Joshua B Fisher and Jie Niu, 2016, "Improving estimates of long-term water partitioning using hydrologic signatures from GRACE", Water Resources Research, 52, (7), pp. 5537–5554
- Chaopeng Shen, Shilong Wang and Xiaofeng Liu, 2016, "Geomorphological significance of at-many-stations hydraulic geometry", Geophysical Research Letters, 43, (8), pp. 3762–3770
- Simone Fatichi, Enrique Vivoni, Fred Ogden, Valeriy Ivanov, Benjamin Mirus, David Gochis, Charles Downer, Matteo Camporese, Jason Davison, Brian Ebel, Norm Jones, Jongho Kim, Giuseppe Mascaro, Richard Niswonger, Pedro Restrepo, Chaopeng Shen, Riccardo Rigon, Mauro Sulis and David Tarboton, 2016, "An overview of challenges, current applications and future trends of distributed process-based models in hydrology", Journal of Hydrology, 537, pp. 45–60
- Chaopeng Shen, W J Riley, Kurt M Smithgall, John M Melack and Kuai Fang, 2016, "The fan of influence of streams and channel feedbacks to simulated land surface water and carbon dynamics", Water Resources Research, 52, (2), pp. 880–902
- Chaopeng Shen, George SH Pau, W J Riley and Yaning Liu, 2016, "Accurate and efficient prediction of fine-resolution hydrologic and carbon dynamics from coarse-resolution models", Water Resources Research, 52, (2), pp. 22
- XY Ji, Chaopeng Shen and W J Riley, 2015, "Temporal evolution of soil moisture statistical fractal and controls by soil texture and regional groundwater flow", Advances in Water Resources, 86, (A), pp. 15
- Chaopeng Shen, Martyn P Clark, Ying Fan, David M Lawrence, Diogo Bolster, Jennifer C Adam, David J Gochis, Richard P Hooper, Mukesh Kumar, L. Ruby Leung, D. Scott Mackay, Reed M Maxwell, Sean C Swenson and Xubin Zeng, 2015, "Improving the representation of hydrologic processes in Earth System Models", Water Resources Research, 51, (8), pp. 5929–5956
- D Trebotich, M Adams, S Molins, C I Steefel and Chaopeng Shen, 2014, "High resolution simulation of pore scale reactive transport processes associated with carbon sequestration", Computing in Science and Engineering, 16, (6), pp. 22 - 31
- S Molins, D Trebotich, J B Ajo-Franklin, T J Ligocki, Chaopeng Shen and C I Steefel, 2014, "Pore-scale controls on Calcite dissolution rates from flow-through laboratory and numerical experiments", Environmental Science & Technology, 48, (13), pp. 7453–7460
- Chaopeng Shen, J Niu and K Fang, 2014, "Quantifying the effects of data integration algorithms on the outcomes of a subsurface–land surface processes model", Environmental Modelling & Software, 59, pp. 7359–7377
- R M Maxwell, M Putti, S B Meyerhoff, J Delfs, I Ferguson, V Ivanov, J Kim, O Kolditz, S Kollet, M Kumar, S Lopez, J Niu, C Paniconi, M S Phanikumar, Chaopeng Shen, E Sudicky and M Sulis, 2014, "Surface-subsurface model inter-comparison: A first set of benchmark results to diagnose integrated hydrology and feedbacks", Water Resources Research, 50, (2), pp. 1531–1549
- W J Riley and Chaopeng Shen, 2014, "Characterizing coarse-resolution watershed soil moisture heterogeneity using fine-scale simulations", Hydrology and Earth System Sciences, 18, (7), pp. 2463-2483
- Chaopeng Shen, J. Niu, S. G. Li and M. S. Phanikumar, 2014, "Quantifying storage changes in regional Great Lakes watersheds using a coupled subsurface-land surface process model and GRACE, MODIS products", Water Resources Research, 50, (9), pp. 7359–7377
- Chaopeng Shen, J. Niu and M. S. Phanikumar, 2013, "Evaluating controls on coupled hydrologic and vegetation dynamics in a humid continental climate watershed using a subsurface - land surface processes model", Water Resources Research, 49, (5), pp. 2552–2572
- Chaopeng Shen, S. Molins, D. Trebotich and C. I. Steefel, 2012, "An investigation of the effect of pore scale flow on average geochemical reaction rates using direct numerical simulation", Water Resources Research, 48, (3), pp. 11
- Chaopeng Shen, J.-M Qiu and A. Christlieb, 2011, "Adaptive mesh refinement based on high order finite difference WENO scheme for multi-scale simulations", Journal of Computational Physics, 230, (10), pp. 23
- Chaopeng Shen and M. S. Phanikumar, 2010, "A process-based, distributed hydrologic model based on a large-scale method for surface–subsurface coupling", Advances in Water Resources, 33, (12), pp. 18
- Chaopeng Shen, J. Niu, E. J. Andersen and M. S. Phanikumar, 2010, "Estimating longitudinal dispersion in rivers using Acoustic Doppler Current Profilers", Advances in Water Resources, 33, (6), pp. 9
- Chaopeng Shen and M. S. Phanikumar, 2009, "An efficient space-fractional dispersion approximation for stream solute transport modeling", Advances in Water Resources, 32, (10), pp. 13
- Chaopeng Shen, M. S. Phanikumar, T. T. Fong, I. Aslam, S. L. Molloy and J. B. Rose, 2008, "Evaluating bacteriophage P22 as a tracer in a complex surface water system: The Grand River, Michigan", Environmental Science & Technology, 42, (7), pp. 2426–2431
- Chaopeng Shen, M. S. Phanikumar, I. Aslam, D. T. Long and T. C. Voice, 2007, "Separating surface storage from hyporheic retention in natural streams using wavelet decomposition of acoustic Doppler current profiles", Water Resources Research, 43, (5), pp. 16
Conference Proceedings
- Chaopeng Shen, Abdolmedhi Behroozi and Daniel Kifer, 2025, "Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations", International Conference of Learning Representations (ICLR)
- Chaopeng Shen, Te Pei, Maroufi Marjan and Yingli Tian, 2025, "Physics-informed machine learning framework for predicting rainfall-induced shallow landslides in the Colorado front range", Geo-Extreme 2025, American Society of Civil Engineers
- Chaopeng Shen, Savinay Nagendra and Daniel Kifer, 2022, "PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise Binarization", Winter Conference on Applications of Computer Vision (WACV)
- Peggy Johnson, Kurt R Smithgall and Chaopeng Shen, 2017, "Impacts and Functioning of In-Stream Structures", World Environmental and Water Resources Congress 2017
- Chaopeng Shen, C. I. Steefel, D. Trebotich, S. Molins and Y. Li, 2012, "Investigation of coupled flow and geochemical reactions at the pore scale by direct numerical simulation", Mineralogical Magazine, 76, (6), pp. 2125
- Chaopeng Shen, D. Trebotich, S. Molins, D. T. Graves, B. Van Straalen, T. Ligocki and C. I. Steefel, 2011, "High performance computations of subsurface reactive transport processes at the pore scale", SciDAC meeting, pp. 5
