Integrating recurrent neural networks with data assimilation for scalable data‐driven state estimation SG Penny, TA Smith, TC Chen, JA Platt, HY Lin, M Goodliff, ... Journal of Advances in Modeling Earth Systems 14 (3), e2021MS002843, 2022 | 35 | 2022 |
Proactive QC: A fully flow-dependent quality control scheme based on EFSO D Hotta, TC Chen, E Kalnay, Y Ota, T Miyoshi Monthly Weather Review 145 (8), 3331-3354, 2017 | 35 | 2017 |
A systematic exploration of reservoir computing for forecasting complex spatiotemporal dynamics JA Platt, SG Penny, TA Smith, TC Chen, HDI Abarbanel Neural Networks 153, 530-552, 2022 | 21 | 2022 |
Accelerating assimilation development for new observing systems using EFSO GY Lien, D Hotta, E Kalnay, T Miyoshi, TC Chen Nonlinear Processes in Geophysics 25 (1), 129-143, 2018 | 21 | 2018 |
S4: An O2R/R2O infrastructure for optimizing satellite data utilization in NOAA numerical modeling systems: A step toward bridging the gap between research and operations SA Boukabara, T Zhu, HL Tolman, S Lord, S Goodman, R Atlas, ... Bulletin of the American Meteorological Society 97 (12), 2359-2378, 2016 | 20 | 2016 |
Proactive quality control: Observing system simulation experiments with the Lorenz’96 model TC Chen, E Kalnay Monthly Weather Review 147 (1), 53-67, 2019 | 17 | 2019 |
Correcting systematic and state‐dependent errors in the NOAA FV3‐GFS using neural networks TC Chen, SG Penny, JS Whitaker, S Frolov, R Pincus, S Tulich Journal of Advances in Modeling Earth Systems 14 (11), e2022MS003309, 2022 | 15 | 2022 |
Proactive quality control: Observing system experiments using the NCEP Global Forecast System TC Chen, E Kalnay Monthly Weather Review 148 (9), 3911-3931, 2020 | 12 | 2020 |
Applications of ensemble forecast sensitivity to observations for improving numerical weather prediction TC Chen University of Maryland, College Park, 2018 | 5 | 2018 |
Constraining chaos: Enforcing dynamical invariants in the training of reservoir computers JA Platt, SG Penny, TA Smith, TC Chen, HDI Abarbanel Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (10), 2023 | 3 | 2023 |
Constraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks JA Platt, SG Penny, TA Smith, TC Chen, HDI Abarbanel arXiv preprint arXiv:2304.12865, 2023 | 3 | 2023 |
Temporal subsampling diminishes small spatial scales in recurrent neural network emulators of geophysical turbulence TA Smith, SG Penny, JA Platt, TC Chen Journal of Advances in Modeling Earth Systems 15 (12), e2023MS003792, 2023 | 2 | 2023 |
Next Generation'Reservoir Computing: an Empirical Data-Driven Expression of Dynamical Equations in Time-Stepping Form TC Chen, SG Penny, TA Smith, JA Platt arXiv preprint arXiv:2201.05193, 2022 | 2 | 2022 |
Use of EFSO for online data assimilation quality monitoring and proactive quality control TC Chen, E Kalnay, D Hotta CAS/JSC WGNE Research Activities in Atmospheric and Oceanic Modelling, 9, 2017 | 2 | 2017 |
Multi-layer observation localization for hyperspectral infrared observations in the LETKF: ideal experiments with a multi-layer quasi-geostrophic model C Da, E Kalnay, TC Chen 103rd AMS Annual Meeting, 2023 | 1 | 2023 |
Use of AI to Perform Inline Bias Correction of NOAA UFS Extended-Range Forecasts. SN Tulich, S Frolov, P Pegion, TC Chen, LC Slivinski, JS Whitaker 104th AMS Annual Meeting, 2024 | | 2024 |
Estimating Ocean Observation Impacts on Coupled Atmosphere‐Ocean Models Using Ensemble Forecast Sensitivity to Observation (EFSO) CC Chang, TC Chen, E Kalnay, C Da, S Mote Geophysical Research Letters 50 (20), e2023GL103154, 2023 | | 2023 |
Recurrent Neural Network Emulation for High Resolution Sea Surface Forecasts T Smith, SG Penny, TC Chen, J Platt AGU Fall Meeting Abstracts 2022, NG42B-0404, 2022 | | 2022 |
New approach for estimating the ocean observation impacts on coupled assimilation using EFSO CC Chang, TC Chen, E Kalnay AGU Fall Meeting Abstracts 2022, NG35B-0438, 2022 | | 2022 |
Integration of AI/ML with Data Assimilation for Earth System Prediction SG Penny, HY Lin, M Goodliff, TC Chen, T Smith Artificial Intelligence for Earth System Predictability (AI4ESP …, 2021 | | 2021 |