| Parameter recovery for the 2 dimensional Navier--Stokes equations via continuous data assimilation E Carlson, J Hudson, A Larios SIAM Journal on Scientific Computing 42 (1), A250-A270, 2020 | 60 | 2020 |
| Dynamically learning the parameters of a chaotic system using partial observations E Carlson, J Hudson, A Larios, VR Martinez, E Ng, JP Whitehead arXiv preprint arXiv:2108.08354, 2021 | 36 | 2021 |
| Sensitivity analysis for the 2D Navier–Stokes equations with applications to continuous data assimilation E Carlson, A Larios Journal of Nonlinear Science 31 (5), 84, 2021 | 25 | 2021 |
| Super-Exponential Convergence Rate of a Nonlinear Continuous Data Assimilation Algorithm: The 2D Navier–Stokes Equation Paradigm E Carlson, A Larios, ES Titi Journal of Nonlinear Science 34 (2), 37, 2024 | 11 | 2024 |
| CDA algorithm implemented in MPAS-O to improve eddy effects in a mesoscale simulation E Carlson, L Van Roekel, M Petersen, HC Godinez, A Larios | 8 | 2021 |
| Determining modes, synchronization, and intertwinement E Carlson, A Farhat, VR Martinez, C Victor arXiv preprint arXiv:2408.01064, 2024 | 4 | 2024 |
| On the infinite-nudging limit of the nudging filter for continuous data assimilation E Carlson, A Farhat, VR Martinez, C Victor arXiv preprint arXiv:2408.02646, 2024 | 3 | 2024 |
| Parameter Recovery and Sensitivity Analysis for the 2D Navier-Stokes Equations Via Continuous Data Assimilation E Carlson, J Hudson, A Larios arXiv preprint arXiv:1812.07646, 2018 | 2 | 2018 |
| Large time behaviour of the 2D thermally non-diffusive Boussinesq equations with Navier-slip boundary conditions F Bleitner, E Carlson, C Nobili arXiv preprint arXiv:2309.05400, 2023 | 1 | 2023 |
| Exploring a new computationally efficient data assimilation algorithm for ocean models E Carlson, LP Van Roekel, HC Godinez, MR Petersen, A Larios Authorea Preprints, 2022 | 1 | 2022 |
| Model discovery on the fly using continuous data assimilation J Newey, JP Whitehead, E Carlson arXiv preprint arXiv:2411.13561, 2024 | | 2024 |
| Adaptive data assimilation and parameter tracking J Whitehead, A Larios, J Murri, B Pachev, J Newey, VR Martinez, ... AGU Fall Meeting Abstracts 2023 (648), NG41B-0648, 2023 | | 2023 |
| Real-time parameter recovery from partial observations. J Whitehead, J Newey, A Larios, B Pachev, A Farhat, E Carlson, ... Bulletin of the American Physical Society, 2023 | | 2023 |
| 1-034-T-FishMixing-ModelingScenario E Sullivan, E Carlson | | 2022 |
| Enhanced Effication of Turbulent Flow Observations: Parameter Recovery, Sensitivity Analysis, Non-Linear Data Assimilation Algorithms, and a Real-World Implementation EA Carlson The University of Nebraska-Lincoln, 2021 | | 2021 |
| AOT Data Assimilation Algorithm: Parameter Recovery, Applications, and a Nonlinear Algorithm EA Carlson, A Larios, J Hudson, L Van Roekel, MR Petersen, ... Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2020 | | 2020 |
| MPAS-Ocean and the AOT Algorithm: A Novel Data Assimilation Technique Applied to Ocean Models E Carlson, L Van Roekel, HC Godinez, MR Petersen Ocean Sciences Meeting 2020, 2020 | | 2020 |
| Fish Mixing (Teacher Version). E Sullivan, E Carlson UMAP Journal 37 (4), 2016 | | 2016 |
| 1-034-S-FishMixing E Sullivan, EA Carlson | | 2015 |
| Sum-of-squares Polynomial Optimization to Study the Stability of Shear Flows E Carlson, F Fuentes, D Goluskin BOOK OF, 159, 0 | | |
