Co-estimating geomagnetic field and calibration parameters: modeling Earth’s magnetic field with platform magnetometer data

Models of the geomagnetic field rely on magnetic data high spatial and temporal resolution. The from low-Earth orbit satellites dedicated survey missions such as CHAMP Swarm play a key role in construction models. Unfortunately, there are no after end 2010 before launch late 2013. This limits our ability to recover signals timescales 3 years less during this gap period. platform magnetometers carried by for navigational purposes may help address provided that they carefully calibrated. Earlier studies have demonstrated magnetometer can be calibrated using fixed reference model. However, approach lead biased calibration parameters. An alternative has been developed form co-estimation scheme which consists simultaneously estimating both parameters model internal field. Here, we develop scheme, based CHAOS framework, involves along with magnetometers. Using implementation, able derive 2008 2018 satellite CHAMP, Swarm, secular variation ground observatories, CryoSat-2 GRACE. Through experiments, explore correlations between estimates parameters, suggest how these avoided. We find provide additional information acceleration, especially Pacific study adds evidence it is beneficial use modeling.