Staff information

PNNL Publications

2024

• Zhou Y., P. Jiang, P. Chen, E. Jia, C.S. Welch, Q. Zhao, and J.A. Dhas, et al. 2024. "Novel Principal Component Analysis Tool based on Python for Analysis of Complex Spectra of Time-of-Flight Secondary Ion Mass Spectrometry." Journal of Vacuum Science & Technology A: International Journal Devoted to Vacuum, Surfaces, and Films A42, no. 2:Art. No. 023204. PNNL-SA-189615. doi:10.1116/6.0003355

2023

• Adebayo M.B., V.L. Bailey, X. Chen, A.M. Hopple, P. Jiang, B. Li, and Z. Li, et al. 2023. "A hydrogeophysical framework to assess infiltration during a simulated ecosystem-scale flooding experiment." Journal of Hydrology 626, no. Part A:Art. No. 130243. PNNL-SA-185996. doi:10.1016/j.jhydrol.2023.130243
• Jiang P., P. Shuai, A. Sun, M. Mudunuru, and X. Chen. 2023. "Knowledge-Informed Deep Learning for Hydrological Model Calibration: An Application to Coal Creek Watershed in Colorado." Hydrology and Earth System Sciences 27, no. 14:2621-2644. PNNL-SA-175917. doi:10.5194/hess-27-2621-2023
• Jiang P., Z. Yang, J. Wang, C. Huang, P. Xue, T. Chakraborty, and X. Chen, et al. 2023. "Efficient Super-Resolution of Near-Surface Climate Modeling Using the Fourier Neural Operator." Journal of Advances in Modeling Earth Systems 15, no. 7:Art. No. e2023MS003800. PNNL-SA-186550. doi:10.1029/2023MS003800
• Shuai P., P. Jiang, E. Coon, and X. Chen. 2023. "The importance of explicitly representing the streambed in watershed models." Hydrological Processes 37, no. 12:Art. No. e15043. PNNL-SA-184264. doi:10.1002/hyp.15043

2022

• Chen K., X. Chen, X. Song, M. Briggs, P. Jiang, P. Shuai, and G.E. Hammond, et al. 2022. "Using Ensemble Data Assimilation to Estimate Transient Hydrologic Exchange Flow under Highly Dynamic Flow Conditions." Water Resources Research 58, no. 5:Art. No. e2021WR030735. PNNL-SA-165451. doi:10.1029/2021WR030735
• Jiang P., X. Chen, J.E. Missik, Z. Gao, H. Liu, and B.A. Verbeke. 2022. "Encoding Diel Hysteresis and the Birch Effect in Dryland Soil Respiration Models through Knowledge-Guided Deep Learning." Frontiers in Environmental Science 10. PNNL-SA-179483. doi:10.3389/fenvs.2022.1035540
• Mudunuru M., K. Son, P. Jiang, G.E. Hammond, and X. Chen. 2022. "Scalable Deep Learning for Watershed Model Calibration." Frontiers in Earth Science 10. PNNL-SA-176859. doi:10.3389/feart.2022.1026479
• Sun A., P. Jiang, Z. Yang, Y. Xie, and X. Chen. 2022. "A graph neural network (GNN) approach to basin-scale river network learning: The role of physics-based connectivity and data fusion." Hydrology and Earth System Sciences 26, no. 19:5163-5184. PNNL-SA-177141. doi:10.5194/hess-26-5163-2022

2021

• Cromwell E., P. Shuai, P. Jiang, E. Coon, S.L. Painter, D. Moulton, and Y. Lin, et al. 2021. "Estimating Watershed Subsurface Permeability From Stream Discharge Data using Deep Neural Networks." Frontiers in Earth Science 9. PNNL-SA-156876. doi:10.3389/feart.2021.613011
• Jiang P., X. Chen, K. Chen, J. Anderson, N. Collins, and M. Gharamti. 2021. "DART-PFLOTRAN: An Ensemble-based Data Assimilation System for Estimating Subsurface Flow and Transport Model Parameters." Environmental Modelling & Software 142. PNNL-SA-160802. doi:10.1016/j.envsoft.2021.105074