
several systems previously or currently in use have been called
“automatic observatories” none truly deserves the designation.
Observatories may be classified as fully staffed if there is an operator
on duty everyday, unstaffed if the observatory is visited less than once
per month, or partially staffed if visits to the observatory fall between
these two extremes. A fully staffed observatory may be highly auto-
mated; an unstaffed observatory must be highly automated. Regardless
of the level of staffing or the degree of automation, the quality of the
data obtained from the observatory should meet accepted international
standards such as those promulgated by INTERMAGNET. In particular,
the final data disseminated by the observatory should have an absolute
accuracy of better than 5 nT, so that data may be used to study secular
variation and other long-period changes in the magnetic field. The
requirement for absolute accuracy, as opposed to relative accuracy, dis-
tinguishes magnetic observatories from other magnetometer installa-
tions. To define absolute accuracy consider the difference between the
true value of the magnetic field, B, and the reported value, Br;given
by d ¼ E þ s where E denotes a slowly varying or systematic error
and s denotes a random error. To achieve high absolute accuracy, E is
treated as a parameter that can be determined through a series of calibra-
tion, or “absolute”, observations that are used to correct the output
values of the magnetometer. If data are only used to study short-period
variations, relative accuracy, rather than absolute accuracy, is important.
We assume that E remains constant over the time interval t
2
–t
1
,sothat
the difference Br(t
2
)–Br(t
1
) will accurately represent B(t
2
)–B(t
1
), pro-
vided s is small, even though E, and therefore B(t
1
)andB(t
2
) are not
accurately known.
Alldredge (1962) designed a highly automated system, ASMO
(Automatic Standard Magnetic Observatory) which was intended to
produce outputs similar to those obtained by scaling standard magne-
tograms. However, since 1-min values were recorded to tape, it was
obvious that many additional types of analyses could be carried out.
ASMO consisted of a rubidium magnetometer located at the center of
a two-axis Helmholtz coil system. This was oriented such that the total
vector field would be biased to produce sequential changes in the angle
of declination and inclination. When installed at Castle Rock, California,
the system featured data transmission via telephone line to a receiving
and recording center 160 km away (Blesch, 1965). Thus, it fulfilled
several, but not all, of the requirements of an AMO.
The fluxgate magnetometer rapidly superceded the vector proton
magnetometer as the primary instrument in automated systems. For
example, AMOS, deployed in Canada in 1969 (Delaurier et al.,
1974), consisted of a triaxial fluxgate sensor mounted inside a square
Helmholtz coil system so that the sensor essentially operated in zero
field. D, H, Z (and F ) were sampled every minute and recorded on
tape. By 1974, it was agreed that the system was at least as reliable
as the photographic recorder it was intended to replace and could in
fact record large, dynamic magnetic storms, which the photographic
system was incapable of recording. AMOS featured an innovative
telephone verification system (TVS) that permitted remote diagnosis
of malfunctions. Given the lack of stability of fluxgate magnetome-
ters of that era, the deployment of AMOS did not eliminate or reduce
the need for absolute observations. There was no longer a need for
full-time personnel at the observatories, but part-time contractors were
still needed to perform absolute observations and other minor duties.
Thus, of the six areas of automation, AMOS addressed only the areas
(1) and (5).
Other early systems that incorporated fluxgate magnetometers
include those installed at Erdmagnetisches Observatorium Wingst in
1980 (Schultz, 1983), at British observatories in 1979 (Forbes and
Riddick, 1984) and at French high (southern) latitude observatories
in 1972 and at Chambon-la-Forêt (Bitterly et al., 1986).
By the mid-1980s advances in magnetometry, computers, and teleme-
try increased the possibilities for automation. Although developments
took place in many countries, the UK and United States (quickly joined
by France and Canada) spearheaded a movement to establish modern
standards for digital magnetometers and data. The initiative, which
evolved into INTERMAGNET, also promoted rapid telemetry and auto-
matic dissemination of data. Any observatory that adopts INTERMAG-
NET standards and specifications will possess a system capable of
providing digital data that can be collected, processed, and distributed
automatically. Such an observatory will typically possess a late genera-
tion fluxgate magnetometer system controlled by and recording data to a
computer or other microprocessor-controlled data collection platform
(DCP). Data will be filtered in the DCP to form 1-min values, which
will be transmitted by satellite or phone line to the host institute and/
or an INTERMAGNET geomagnetic information node (GIN), where,
after some basic error checking, they can be obtained automatically
by users. Thus an INTERMAGNET observatory is likely to achieve
complete automation of (1), almost complete automation of (2), and at
least some automation of (3) and (4).
One of the first such systems was ARGOS (Automatic Remote
Geomagnetic Observatory System), which became operational at
the three UK observatories in 1987. ARGOS consisted of a three-
component fluxgate and a proton precession magnetometer controlled
by a computer, which also acted as the data logger. Data were trans-
mitted to a central office by phone line. The US system was similar
in concept; however, it used a ring core fluxgate and the (GOES) for
transmission of data. The Canadian system, Canadian magnetic obser-
vatory system (CANMOS), used the same fluxgate magnetometer
as the US system and also used the GOES for data transmission. It
also included an improved remote diagnostic system. The French
system included an improved magnetometer operating in feedback
coils. Similar automated magnetometer systems are now (2005) in
operation at approximately 100 observatories.
Subsequent improvements to magnetometers and data collection sys-
tems have been concerned with magnetometer stability and sampling
rates. Efforts have been made to make the output of the fluxgate mag-
netometer as stable as possible, thus reducing the need for independent
absolute observations. Tilt-reducing sensor suspensions are capable of
eliminating the effects of pier movement. Temperature coefficients of
fluxgate magnetometers typically range from 0.1 to 1 nT K
1
(Rasson,
2001) leading to errors of up to 10 nT. Temperature coefficients can be
determined for some systems but for others it is simpler to keep the sys-
tem at a constant temperature. Most observatories recognize the need of
the scientific community for data at a faster sampling rate than 1-min;
many are now providing 1-s data.
Many observatories currently rely on GOES, Meteosat, or GMS for
telemetering 1-min data to the host institute. However, this method of
telemetry is incapable of coping with the increasing need for near-realtime
1-Hz data. The Internet, which is increasingly accessible at even remote
locations, is becoming the method of choice for many institutes, which
operate networks with satellite and phone systems serving as backup.
It is unlikely that data processing will ever be carried out without at
least some human intervention. There will always be instances when
judgment is necessary to decide on the validity of a datum or series of
data. A certain amount of data processing may be carried out in the
DCP; the rest is normally carried out after the data are received at the
host institute. Tasks that have been automated include removal of large
spikes, plotting of magnetograms, production of indices, computation of
hourly means, and computation and addition of preliminary baselines.
More difficult and perhaps impossible to completely automate are such
tasks as detection and removal of small spikes, especially at auroral lati-
tudes; handling of offsets; and calculation of final baselines, including
the detection and removal of spurious absolute observations.
Sodankylä and Tromsö were the first observatories to use the Inter-
net to display and download data (Linthe, 2001). Today many observa-
tories have taken advantage of the World Wide Web to provide access
to their data and products such as magnetogram plots, minute data
(and faster sampled data as well), hourly, monthly, and annual mean
values, indices, and observatory and network descriptions.
Automated error detection and diagnosis is extremely important
when an institute runs a network of unstaffed or partially staffed obser-
vatories. Frequently the part-time operator at the site can be instructed
714 OBSERVATORIES, AUTOMATION