Tide-induced magnetic signals and their errors derived from CHAMP and Swarm satellite magnetometer observations

Abstract Satellite-measured tidal magnetic signals are of growing importance. These fields mainly used to infer Earth’s mantle conductivity, but also derive changes in the oceanic heat content. We present a new Kalman filter-based method from satellite magnetometers: KALMAG. The method’s advantage is that it allows study precisely estimated posterior error covariance matrix. results simultaneous estimation 8 major tides 17 years Swarm and CHAMP data. For first time, robustly derived distributions reported along with fields. compared other estimates either based on numerical forward models or inversions same all comparisons, maximal differences corresponding globally averaged RMSE reported. found inter-product comparable KALMAG-based errors only global mean sense. Here, approaches give values order, e.g., 0.09 nT-0.14 nT for M2. Locally, KALMAG up one order smaller than differences, 0.12 vs. 0.96 Graphical