Improvement of

Geomagnetic Data Quality at Indonesian Geomagnetic


Relly Margiono

(1) , Kathryn A. Whaler (2), Christopher W. Turbitt (3), Ciaran Beggan


(1) Badan

Meteorlogi Klimatologi dan Geofisika, Indonesia. (2) University of

Edinburgh, UK. (3) British Geological Survey, UK.

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Measurement of the geomagnetic field in Indonesia region

is undertaken by Meteorology Climatology and Geophysics Agency (BMKG).

The routine activities are to find declination, inclination and total

field using absolute and variation measurement in each observatory.

The oldest observatory is Tangerang (TNG) that started in 1964, then

Tuntungan (TUN) in 1980, Tondano (TND) in 1990, Pelabuhan Ratu (PLR)

and Kupang (KPG) in 2000, Jayapura (JAY) in 2012.


Presently, geomagnetic data at Indonesia are utilized not only for

monitoring of geomagnetic field but also for earthquake monitoring,

especially for earthquake precursor. Because of it is, the quality of

measurement needs to be better than before and fulfill a high

scientific standard. Without high accuracy measurement, the result

would be far from the expectation. The sensible way to obtain good

quality is follow guidelines INTERMAGNET as the institution that

advises on geomagnetic observatory data and networks around the world.

INTERMAGNET has several requirements for an observatory that wants to

join in this network. For that reason, Indonesian geomagnetic

observatory data need improvement to reach the standard.


The aim of this project is to improve the quality of Indonesian

geomagnetic observatory data in terms of raw data produced,

processing, and post-processing until the INTERMAGNET standard is

reached. After the data produced to reach the standard, some

geomagnetic data applications are applied to the data to contribute to

the science community. In this research, geomagnetic data from six

geomagnetic observatories are utilized and brief analysis of data

quality are displayed for each observatory using geomagnetic data

processing method such as delta F plot, baseline stability and annual

means review.