Methods of High Level Noise Reducing in Gravity Surveys on the Example of On Ice Measurements

The paper considers the specifics of field observations and data processing techniques for on-ice gravity surveys that help reduce the level of noise and achieve high accuracy of gravity measurements. The study systematizes recommendations for on-ice surveys, including red reducing base-to-base loop duration, using a variation station, using seismic sensors to account for interference in post-processing of data, etc. Experimental observations were carried out using modern high-precision relative digital gravity meters Scintrex CG-5 and CG-6, allowing to compare the effectiveness of various methods for combating interference associated with the instability of the ice cover on which the gravimeter is located. An original algorithm for time series processing of the Scintrex CG-5, Scintrex CG-6 gravity meters has been developed, including dividing data by pickets, sorting values from the gravity sensor by time, introducing corrections in mGals for temperature, tilt, and lunar-daily variation, subse-quent data filtering and data export in *dat file format. Processing of gravity meter time series has significantly improved the accuracy of gravimetric observations.