| A testbed for geomagnetic data assimilation K Gwirtz, M Morzfeld, W Kuang, A Tangborn Geophysical Journal International 227 (3), 2180-2203, 2021 | 7 | 2021 |
| Can one use Earth’s magnetic axial dipole field intensity to predict reversals? K Gwirtz, M Morzfeld, A Fournier, G Hulot Geophysical Journal International 225 (1), 277-297, 2021 | 5 | 2021 |
| Scattering of a short electromagnetic pulse from a Lorentz–Duffing film: theoretical and numerical analysis M Brio, JG Caputo, K Gwirtz, J Liu, A Maimistov Wave Motion 89, 43-56, 2019 | 4 | 2019 |
| Can machine learning reveal precursors of reversals of the geomagnetic axial dipole field? K Gwirtz, T Davis, M Morzfeld, C Constable, A Fournier, G Hulot Geophysical Journal International 231 (1), 520-535, 2022 | 2 | 2022 |
| Estimating core dynamics via the assimilation of magnetic field models into numerical dynamos K Gwirtz, W Kuang, T Sabaka EGU24, 2024 | | 2024 |
| Decadal LOD and Geocenter Variations From Geomagnetic Data Assimilation W Kuang, J Chen, L Petrov, FG Lemoine, BF Chao, K Gwirtz, C Yi AGU23, 2024 | | 2024 |
| Studying the Earth’s core via the assimilation of geomagnetic observations into numerical dynamo models K Gwirtz, W Kuang, C Yi, A Tangborn AGU23, 2023 | | 2023 |
| Predicting Geomagnetic Reversals with Machine Learning K Gwirtz, T Davis, M Morzfeld AGU Fall Meeting Abstracts 2021, NG25A-0487, 2021 | | 2021 |
| Computational tools for estimating and predicting the state of the geodynamo K Gwirtz University of California, San Diego, 2021 | | 2021 |
| Intensity based predictions of the dipole field and their value in characterizing the Earth-like nature of models K Gwirtz, M Morzfeld, A Fournier, G Hulot AGU Fall Meeting Abstracts 2020, DI006-0011, 2020 | | 2020 |
| A reduced-scale model for understanding the numerics of geomagnetic data assimilation K Gwirtz, M Morzfeld, A Tangborn AGU Fall Meeting Abstracts 2019, NG21B-0912, 2019 | | 2019 |
| Localization and bias correction in geomagnetic data assimilation: systematic numerical experiments with reduced-scale models K Gwirtz, M Morzfeld, A Tangborn AGU Fall Meeting Abstracts 2018, NG33B-0945, 2018 | | 2018 |
| Understanding and Predicting Geomagnetic Secular Variation via Data Assimilation W Kuang, K Gwirtz, A Tangborn, M Morzfeld | | |
