The first stage of field experiments involving the design and construction of a low power-consumption ocean bottom electro-magnetometer (OBEM) has been completed: this can be deployed more than 180 d on the seafloor with a time drift of less than 0.95 ppm. We found that the inclinations and magnetic data of the OBEM varied with two observed earthquakes when compared to the OBS data. The potential fields of the OBEM were slightly, but not obviously, affected by the earthquakes.

A software application for streamlining investigations of the Martian atmosphere is described. The main components are a 1-D model of the Martian atmosphere, observations of the Martian atmosphere and a software wrapper. We verify our model using the application. The model and observations agree except over the winter solstice where mechanical heating of the atmosphere, from downward flowing air, is likely warming the atmosphere. We update our model to include this effect.

Complex and harsh exploration environments have put forward higher requirements for traditional geophysical exploration methods and instruments. In this study, a new distributed seismic and electrical hybrid acquisition station is developed and it can achieve high-precision hybrid acquisition of seismic and electrical data. The synchronization precision of the acquisition station is better than 200 ns and the maximum low-power data transmission speed is 16 Mbps along a 55 m cable.

Fluxgate magnetometers provide magnetic field measurements for geophysics and space physics. A low-noise ferromagnetic ring core typically determines the noise performance of the instrument. Much of the basic research into producing low-noise fluxgate sensors was completed in the 1960s for military purposes and was never publicly released. We present a manufacturing approach that can consistently produce fluxgate ring cores with a noise performance comparable to the legacy ring cores used today.

The material in this research paper is intended for specialists engaged in digital processing of geomagnetic field measurements. A technique is discussed that can help to reduce the errors in measurements and can be applied in various tasks of digital processing of geomagnetic data from vector magnetometers and other three-component data. The results of the tests on model and real geomagnetic data are provided for the algorithm along with the conclusions about its possibilities.

Our knowledge of the Earth's magnetic field arises from magnetic signals stored in lavas. In rugged volcanic terrain, however, the magnetization of the underlying flows may influence the magnetic field as recorded by newly formed flows on top. To measure these local magnetic anomalies, we developed a low-cost field magnetometer with superior accuracy and user-friendliness. The first measurements on Mt. Etna show local magnetic variations that are much larger than expected.

In this paper, we present an approach to represent underlying errors in measurements and physical models in the temporal gravity field determination using GRACE observations. This study provides an opportunity to improve the error model and the accuracy of the GRACE parameter estimation, as well as its successor GRACE Follow-On.

Measurements from the magnetic field instrument on the Cassiope spacecraft were found to be degraded by an artifact of how the instrument tracks the changing magnetic field as the spacecraft orbits the Earth. We present a process to characterize this effect on orbit and compensate for it in the post–processing of the data. This work allows the instrument to accurately track rapidly changing local fields without loss of measurement fidelity and improves the high–frequency noise of the data.

The nonuniqueness of geophysical inversions, which is based on a single geophysical method, is a long–standing problem in geophysical exploration. This paper developed a distributed, multi–channel, high–precision data acquisition system. It can achieve high–precision hybrid acquisition of seismic–electrical data and monitor the real–time quality of data acquisition processes using NB–IoT technology. The equivalent input noise is 0.5 μV and the synchronization accuracy is within 200 ns.