Articles | Volume 6, issue 2
Research article
15 Sep 2017
Research article |  | 15 Sep 2017

Noise in raw data from magnetic observatories

Sergey Y. Khomutov, Oksana V. Mandrikova, Ekaterina A. Budilova, Kusumita Arora, and Lingala Manjula

Abstract. In spite of significant progress in the development of new devices for magnetic measurements, mathematical and computational technologies for data processing and means of communication, the quality of magnetic data accessible through the data centres (for example, World Data Centres or INTERMAGNET) still largely depends on the actual conditions in which observation of the Earth's magnetic field is performed at observatories. Processing of raw data of magnetic measurements by observatory staff plays an important role. It includes effective identification of noise and elimination of its influence on final data. In this paper, on the basis of the experience gained during long-term magnetic monitoring carried out at the observatories of IKIR FEB RAS (Russia) and CSIR-NGRI (India), we present a review of methods commonly encountered in actual practice for noise identification and the possibility of reducing noise influence.

Short summary
Noise is a common problem for the experiments or observations. Noise in the raw data of magnetic observatories has features. The article makes an attempt to give a review of this noise, using the data from some Russian and Indian observatories.