Data Scientist
Data Scientist

Publications

2025

  • Chen T., P. Kooloth, J. Lu, and Z. Hou. 2025. "ClimGen: Learning the Forcing-Response Relationship in Climate System." In ICLR 2025 Workshop: Tackling Climate Change with Machine Learning, April 24-28. 2025, Singapore, Paper No. 52. Pittsburgh, Pennsylvania:Climate Change AI. PNNL-SA-211021.
  • Chen T., S. Penny, T. Smith, and J. Platt. 2025. "Machine Learned Empirical Numerical Integrator from Simulated Data." Artificial Intelligence for the Earth Systems 4, no. 2:Art. No. e230088. PNNL-SA-191031. doi:10.1175/AIES-D-23-0088.1

2024

  • Chen T., and K. Mahapatra. 2024. "PMU Data Quality and Sensor Health Monitoring." In IEEE Power & Energy Society General Meeting (PESGM 2024), July 21-25, 2024, Seattle, WA, 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-192152. doi:10.1109/PESGM51994.2024.10688743
  • Chen T., M. Ramesh, C. Qin, B. Vyakaranam, Z. Hou, T.C. Douville, and N.A. Samaan. 2024. "Smart Sampling of Representative Hourly Power Generation Scenario with High Renewable Penetration." IEEE Access 12, no. _:115319 - 115328. PNNL-SA-198077. doi:10.1109/ACCESS.2024.3445409
  • Eichler West R.M., J.H. Tu, A.T. Rupe, T. Chen, and I.P. Finley. 2024. Predicting Critical Transitions in Multiscale Data. PNNL-36593. Richland, WA: Pacific Northwest National Laboratory. Predicting Critical Transitions in Multiscale Data
  • Smith T., S. Penny, J. Platt, and T. Chen. 2024. "xesn: Echo state networks powered by Xarray and Dask." Journal of Open Source Software 9, no. 103:Art. No. 7286. PNNL-SA-206387. doi:10.21105/joss.07286

2023

  • Chang C., T. Chen, E. Kalnay, C. Da, and S. Mote. 2023. "Estimating Ocean Observation Impacts on Coupled Atmosphere-Ocean Models Using Ensemble Forecast Sensitivity to Observation (EFSO)." Geophysical Research Letters 50, no. 20:Art. No. e2023GL103154. PNNL-SA-181351. doi:10.1029/2023GL103154
  • Platt J., S. Penny, T. Smith, T. Chen, and H. Abarbanel. 2023. "Constraining chaos: Enforcing dynamical invariants in the training of reservoir computers." Chaos: An Interdisciplinary Journal of Nonlinear Science 33, no. 10:Art. No. 103107. PNNL-SA-191042. doi:10.1063/5.0156999
  • Smith T., S. Penny, J. Platt, and T. Chen. 2023. "Temporal Subsampling Diminishes Small Spatial Scales in Recurrent Neural Network Emulators of Geophysical Turbulence." Journal of Advances in Modeling Earth Systems 15, no. 12:Art. No. e2023MS003792. PNNL-SA-183691. doi:10.1029/2023MS003792