32 citations as recorded by crossref.

1. Forward and adjoint quasi‐geostrophic models of the geomagnetic secular variation E. Canet et al. 10.1029/2008JB006189
2. Coarse predictions of dipole reversals by low-dimensional modeling and data assimilation M. Morzfeld et al. 10.1016/j.pepi.2016.10.007
3. Crustal concealing of small-scale core-field secular variation G. Hulot et al. 10.1111/j.1365-246X.2009.04119.x
4. Geomagnetic Research From Space E. Friis‐Christensen et al. 10.1029/2009EO250002
5. Observing system simulation experiments in geomagnetic data assimilation D. Liu et al. 10.1029/2006JB004691
6. Variational data assimilation for the initial-value dynamo problem K. Li et al. 10.1103/PhysRevE.84.056321
7. Geomagnetic Jerks: Rapid Core Field Variations and Core Dynamics M. Mandea et al. 10.1007/s11214-010-9663-x
8. Forecasting secular variation using core flows C. Beggan & K. Whaler 10.5047/eps.2010.07.004
9. Earth's dynamo limit of predictability controlled by magnetic dissipation F. Lhuillier et al. 10.1111/j.1365-246X.2011.05081.x
10. Asymmetric dynamics of the inner core and impact on the outer core T. Alboussière & R. Deguen 10.1016/j.jog.2012.07.006
11. Assimilation of Deformation Data for Eruption Forecasting: Potentiality Assessment Based on Synthetic Cases M. Bato et al. 10.3389/feart.2017.00048
12. Enhanced magnetic fields within a stratified layer C. Hardy et al. 10.1093/gji/ggaa260
13. ASSIMILATING DATA INTO AN αΩ DYNAMO MODEL OF THE SUN: A VARIATIONAL APPROACH L. Jouve et al. 10.1088/0004-637X/735/1/31
14. Constraining a numerical geodynamo model with 100 years of surface observations W. Kuang et al. 10.1111/j.1365-246X.2009.04376.x
15. Challenges Handling Magnetospheric and Ionospheric Signals in Internal Geomagnetic Field Modelling C. Finlay et al. 10.1007/s11214-016-0285-9
16. Fast torsional waves and strong magnetic field within the Earth’s core N. Gillet et al. 10.1038/nature09010
17. Ensemble inversion of time‐dependent core flow models N. Gillet et al. 10.1029/2008GC002290
18. Forecasting change of the magnetic field using core surface flows and ensemble Kalman filtering C. Beggan & K. Whaler 10.1029/2009GL039927
19. An Introduction to Data Assimilation and Predictability in Geomagnetism A. Fournier et al. 10.1007/s11214-010-9669-4
20. 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
21. IGRF candidate models at times of rapid changes in core field acceleration E. Thébault et al. 10.5047/eps.2010.05.004
22. A candidate secular variation model for IGRF-13 based on MHD dynamo simulation and 4DEnVar data assimilation T. Minami et al. 10.1186/s40623-020-01253-8
23. Earth's dynamo limit of predictability G. Hulot et al. 10.1029/2009GL041869
24. The Magnetic Field of Planet Earth G. Hulot et al. 10.1007/s11214-010-9644-0
25. Geodynamo model and error parameter estimation using geomagnetic data assimilation A. Tangborn & W. Kuang 10.1093/gji/ggu409
26. Quasi-geostrophic flows responsible for the secular variation of the Earth's magnetic field M. Pais & D. Jault 10.1111/j.1365-246X.2008.03741.x
27. Geomagnetic Core Field Secular Variation Models N. Gillet et al. 10.1007/s11214-009-9586-6
28. Modelling decadal secular variation with only magnetic diffusion M. Metman et al. 10.1093/gji/ggz089
29. Variational data assimilation for a forced, inertia-free magnetohydrodynamic dynamo model K. Li et al. 10.1093/gji/ggu260
30. A testbed for geomagnetic data assimilation K. Gwirtz et al. 10.1093/gji/ggab327
31. 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
32. Can core‐surface flow models be used to improve the forecast of the Earth's main magnetic field? S. Maus et al. 10.1029/2007JB005199