| Explore spatio‐temporal learning of large sample hydrology using graph neural networks AY Sun, P Jiang, MK Mudunuru, X Chen Water Resources Research 57 (12), e2021WR030394, 2021 | 108 | 2021 |
| A graph neural network approach to basin-scale river network learning: The role of physics-based connectivity and data fusion AY Sun, P Jiang, ZL Yang, Y Xie, X Chen Hydrology and Earth System Sciences Discussions 2022, 1-35, 2022 | 87 | 2022 |
| Debates—Does information theory provide a new paradigm for Earth science? Causality, interaction, and feedback AE Goodwell, P Jiang, BL Ruddell, P Kumar Water Resources Research 56 (2), e2019WR024940, 2020 | 73 | 2020 |
| A service-oriented architecture for coupling web service models using the Basic Model Interface (BMI) P Jiang, M Elag, P Kumar, SD Peckham, L Marini, L Rui Environmental Modelling & Software 92, 107-118, 2017 | 71 | 2017 |
| Digital Twin Earth--Coasts: Developing a fast and physics-informed surrogate model for coastal floods via neural operators P Jiang, N Meinert, H Jordão, C Weisser, S Holgate, A Lavin, B Lütjens, ... 2021 NeurIPS Workshop on Machine Learning for the Physical Sciences (ML4PS), 2021 | 48 | 2021 |
| Knowledge-informed deep learning for hydrological model calibration: an application to Coal Creek Watershed in Colorado P Jiang, P Shuai, A Sun, MK Mudunuru, X Chen Hydrology and Earth System Sciences 27 (14), 2621-2644, 2023 | 37 | 2023 |
| Efficient super‐resolution of near‐surface climate modeling using the Fourier neural operator P Jiang, Z Yang, J Wang, C Huang, P Xue, TC Chakraborty, X Chen, ... Journal of Advances in Modeling Earth Systems 15 (7), e2023MS003800, 2023 | 35 | 2023 |
| Information transfer from causal history in complex system dynamics P Jiang, P Kumar Physical Review E 99 (1), 012306, 2019 | 26 | 2019 |
| Using ensemble data assimilation to estimate transient hydrologic exchange flow under highly dynamic flow conditions K Chen, X Chen, X Song, MA Briggs, P Jiang, P Shuai, G Hammond, ... Water Resources Research 58 (5), e2021WR030735, 2022 | 25 | 2022 |
| Using Mutual Information for Global Sensitivity Analysis on Watershed Modeling P Jiang, K Son, MK Mudunuru, X Chen Water Resources Research, e2022WR032932, 2022 | 21 | 2022 |
| Estimating watershed subsurface permeability from stream discharge data using deep neural networks E Cromwell, P Shuai, P Jiang, ET Coon, SL Painter, JD Moulton, Y Lin, ... Frontiers in Earth Science 9, 613011, 2021 | 21 | 2021 |
| Using information flow for whole system understanding from component dynamics P Jiang, P Kumar Water Resources Research 55 (11), 8305-8329, 2019 | 21 | 2019 |
| Establishing rainfall depth–duration–frequency relationships at daily raingauge stations in Hong Kong P Jiang, YK Tung Journal of hydrology 504, 80-93, 2013 | 17 | 2013 |
| SWAT watershed model calibration using deep learning MK Mudunuru, K Son, P Jiang, X Chen arXiv preprint arXiv:2110.03097, 2021 | 14 | 2021 |
| Interactions of information transfer along separable causal paths P Jiang, P Kumar Physical Review E 97 (4), 042310, 2018 | 14 | 2018 |
| A hydrogeophysical framework to assess infiltration during a simulated ecosystem-scale flooding experiment MB Adebayo, VL Bailey, X Chen, AM Hopple, P Jiang, B Li, Z Li, ... Journal of Hydrology 626, 130243, 2023 | 13 | 2023 |
| Learning constitutive relations from soil moisture data via physically constrained neural networks T Bandai, TA Ghezzehei, P Jiang, P Kidger, X Chen, CI Steefel Water Resources Research 60 (7), e2024WR037318, 2024 | 12 | 2024 |
| Scalable deep learning for watershed model calibration MK Mudunuru, K Son, P Jiang, G Hammond, X Chen Frontiers in Earth Science 10, 1026479, 2022 | 11 | 2022 |
| DART-PFLOTRAN: An ensemble-based data assimilation system for estimating subsurface flow and transport model parameters P Jiang, X Chen, K Chen, J Anderson, N Collins, MEL Gharamti Environmental Modelling & Software 142, 105074, 2021 | 11 | 2021 |
| Deciphering the role of total water storage anomalies in mediating regional flooding AY Sun, H Save, A Rateb, P Jiang, BR Scanlon Geophysical Research Letters 51 (16), e2023GL108126, 2024 | 9 | 2024 |
Xingyuan ChenScientist, Pacific Northwest National LaboratoryVerified email at pnnl.gov
