18 citations as recorded by crossref.

1. Geomagnetic Core Field Secular Variation Models N. Gillet et al. 10.1007/s11214-009-9586-6
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5. Geomagnetic secular variation forecast using the NASA GEMS ensemble Kalman filter: A candidate SV model for IGRF-13 A. Tangborn et al. 10.1186/s40623-020-01324-w
6. A testbed for geomagnetic data assimilation K. Gwirtz et al. 10.1093/gji/ggab327
7. Dynamic responses of the Earth’s outer core to assimilation of observed geomagnetic secular variation W. Kuang & A. Tangborn 10.1186/s40645-015-0071-4
8. Observing system simulation experiments in geomagnetic data assimilation D. Liu et al. 10.1029/2006JB004691
9. Variational data assimilation for a forced, inertia-free magnetohydrodynamic dynamo model K. Li et al. 10.1093/gji/ggu260
10. Geodynamo model and error parameter estimation using geomagnetic data assimilation A. Tangborn & W. Kuang 10.1093/gji/ggu409
11. Quantitative comparison of variational and sequential data assimilation techniques for one-dimensional initial-value problems of ideal MHD J. Arnal & C. Groth 10.1016/j.compfluid.2024.106373
12. Variational data assimilation for the initial-value dynamo problem K. Li et al. 10.1103/PhysRevE.84.056321
13. Forward and adjoint quasi‐geostrophic models of the geomagnetic secular variation E. Canet et al. 10.1029/2008JB006189
14. An Introduction to Data Assimilation and Predictability in Geomagnetism A. Fournier et al. 10.1007/s11214-010-9669-4
15. Prediction of geomagnetic field with data assimilation: a candidate secular variation model for IGRF-11 W. Kuang et al. 10.5047/eps.2010.07.008
16. Coarse predictions of dipole reversals by low-dimensional modeling and data assimilation M. Morzfeld et al. 10.1016/j.pepi.2016.10.007
17. Forecasting secular variation using core flows C. Beggan & K. Whaler 10.5047/eps.2010.07.004
18. Implicit particle filtering for models with partial noise, and an application to geomagnetic data assimilation M. Morzfeld & A. Chorin 10.5194/npg-19-365-2012