26 Publications (Page 1 of 2)
2025
Allometric Scaling of Hyporheic Respiration Across Basins in the Pacific Northwest United States. Journal of Geophysical Research: Biogeosciences
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Inverse Mapping of the Collision Kernel and Wall Flux Scaling in a Tall Convection-Cloud Chamber Using Local Sensors and Knowledge-Informed Deep Learning
JAX‐CanVeg: A Differentiable Land Surface Model. Water Resources Research
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Probabilistic Diffusion Models Advance Extreme Flood Forecasting. Geophysical Research Letters
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2024
Bridging Hydrological Ensemble Simulation and Learning Using Deep Neural Operators. Water Resources Research
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Deciphering the Role of Total Water Storage Anomalies in Mediating Regional Flooding. Geophysical Research Letters
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Lambda-PFLOTRAN 1.0: a workflow for incorporating organic matter chemistry informed by ultra high resolution mass spectrometry into biogeochemical modeling. Geoscientific Model Development
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Learning Constitutive Relations From Soil Moisture Data via Physically Constrained Neural Networks. Water Resources Research
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Optimizing parameter learning and calibration in an integrated hydrological model: Impact of observation length and information. Journal of Hydrology
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2023
Efficient Super‐Resolution of Near‐Surface Climate Modeling Using the Fourier Neural Operator. Journal of Advances in Modeling Earth Systems
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Knowledge-informed deep learning for hydrological model calibration: an application to Coal Creek Watershed in ColoradoJiang, P.⋅Shuai, P.⋅Sun, A.⋅Mudunuru, M.K. and Chen, X.Hydrology and Earth System Sciences, vol. 27, pp. 2621-2644.
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2022
A graph neural network (GNN) approach to basin-scale river network learning: the role of physics-based connectivity and data fusionSun, A.Y.⋅Jiang, P.⋅Xie, Y. and Chen, X.Hydrology and Earth System Sciences, vol. 26, pp. 5163-5184.
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Scalable deep learning for watershed model calibrationMudunuru, Maruti K.⋅Son, Kyongho⋅Jiang, Peishi⋅Hammond, Glenn and Chen, XingyuanFrontiers in Earth Science, vol. 10.
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Using Ensemble Data Assimilation to Estimate Transient Hydrologic Exchange Flow Under Highly Dynamic Flow ConditionsChen, Kewei⋅Song, Xuehang⋅Jiang, Peishi⋅Shuai, Pin⋅Hammond, Glenn and Zachara, John M.Water Resources Research, vol. 58.
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Using Mutual Information for Global Sensitivity Analysis on Watershed ModelingJiang, Peishi⋅Son, Kyongho⋅Mudunuru, Maruti K. and Chen, XingyuanWater Resources Research, vol. 58.
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2021
DART-PFLOTRAN: An ensemble-based data assimilation system for estimating subsurface flow and transport model parametersJiang, Peishi⋅Chen, Xingyuan⋅Anderson, Jeffrey⋅Collins, Nancy and Gharamti, Mohamad EL.Environmental Modelling & Software, vol. 142, pp. 105074.
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Estimating Watershed Subsurface Permeability From Stream Discharge Data Using Deep Neural NetworksCromwell, Erol⋅Shuai, Pin⋅Jiang, Peishi⋅Coon, Ethan T.⋅Painter, Scott L.⋅Moulton, J. David⋅Lin, Youzuo and Chen, XingyuanFrontiers in Earth Science, vol. 9.
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Explore Spatio-Temporal Learning of Large Sample Hydrology Using Graph Neural NetworksSun, A.Y.⋅Jiang, P.⋅Mudunuru, M.K. and Chen, X.Water Resources Research, vol. 57.
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2020
Bundled Causal History InteractionJiang, Peishi and Kumar, PraveenEntropy, vol. 22, pp. 360.
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Debates—Does Information Theory Provide a New Paradigm for Earth Science? Causality, Interaction, and FeedbackGoodwell, Allison E.⋅Jiang, Peishi⋅Ruddell, Benjamin L. and Kumar, PraveenWater Resources Research, vol. 56.
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2019
Information transfer from causal history in complex system dynamics. Physical Review E
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Using Information Flow for Whole System Understanding From Component Dynamics. Water Resources Research
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2018
Interactions of information transfer along separable causal paths. Physical Review E
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2017
A service-oriented architecture for coupling web service models using the Basic Model Interface (BMI) Environmental Modelling & Software
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2015
Incorporating daily rainfalls to derive rainfall DDF relationships at ungauged sites in Hong Kong and quantifying their uncertainty. Stochastic Environmental Research and Risk Assessment
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