13 research outputs found
Noise in raw data from magnetic observatories
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