
of induced currents). The typical model describing the core-field
dynamo is called the International Geomagnetic Reference Field
(IGRF) (q.v.). However, this does not include the external fields and,
therefore, stationary magnetometer basestations tracking the time var-
iations of the external field are employed in a local region of surveys
(see Aeromagnetic surveying); these time-varying external fields
are then removed from the survey observations to construct the mag-
netic anomaly field. To reduce the effects of imperfect and incomplete
reference models and any remaining inconsistencies in the derived
anomaly field, it is typical to perform surveys with tracks crossing
each other (also called tie-lines) so that the anomaly mismatches at
the cross-over locations could be minimized subject to assumptions
regarding the nature of the spatiotemporal variations of the external
field and the induction effects in the region. Deployment of base sta-
tions is not always feasible where surveys are made along tracks
longer than a few hundred kilometers (typically over the oceans,
but also for continental surveys designed for the determination of
the long-wavelength anomaly field). A recently developed specialized
model, known as the comprehensive model (CM) (Sabaka et al.,
2002), is useful to estimate and remove these noncrustal magnetic field
components from such regional survey data. The CM describes the
core field and its variation, the long-wavelength variation of the exter-
nal fields during the magnetically quiet periods, and the first-order
induced fields in the Earth using the permanent observatory records
beginning 1960s, augmented by fields measured by satellites to fill
the large spatial gaps in the magnetic observatory coverage in many
parts of the world. Since the CM is a temporally continuous model
in comparison to the piece-wise continuous IGRF, it is also effective
in minimizing survey base-level mismatches noticeable when neigh-
boring surveys are combined (see examples in Ravat et al., 2003).
On Earth, in the near-surface environment, crustal field generally
has magnitude range of a few hundred nanoteslas (nT, an SI unit
of magnetic field strength) — much smaller compared to the core-
generated magnetic field of 24000–65000 nT (see Main field maps).
However, over magnetically rich iron formations the magnitude
of the crustal field above the Earth’s surface can exceed 10000 nT
regionally, for wavelengths of a few hundreds of kilometers (e.g., Kursk
iron formations in Ukraine). Locally, the magnitude of the anomalies
can be stupendously large: for example, ground magnetic surveys over
parts of Bjerkreim-Sokndal layered intrusion in Rogaland, Norway,
where hemo-ilmenitic rocks having remanent magnetization up to
74 A/m have been measured, a nearly 30000 nT anomaly trough spans
the distance of only 500 m (McEnroe et al., 2004). In such places, even
compass needles are rendered useless in their usual magnetic north-
pointing purpose because they are attracted by the magnetism of the
neighboring rocks rather than the Earth’s core-generated magnetic field.
The sensitivity of commonly available field magnetometers is better
than 0.1 nT (see Aeromagnetic surveying) and the relative precision of
the measurement (which depends partly also on the relative precision
of spatial coordinates and the time of measurements) nearly approaches
this number in carefully executed surveys. Thus, it is possible to resolve
reliably very small spatial changes in magnetic field especially over
elongated geologic sources (e.g., dikes or faults). Thus, a magnetic
map consists of patterns associated with geology and can be interpreted
with fractal magnetization and pattern recognition/characterization
concepts (e.g., Pilkington and Todoeschuck, 1993, in Blakely, 1995;
Maus and Dimri, 1994; Keating, 1995); this is discussed further in the
interpretation methods section.
Examples of the utility of the field
How the crustal magnetic field is used by Earth scientists and the
superb subsurface detail reflected in it are best conveyed using simple
visual correlations of high-resolution magnetic and geologic maps.
Figure C46/Plate 7c shows such a map from the poorly exposed Arch-
ean age province of western Australian cratons under the Precambrian
and recent cover rocks. In the figure, the magnetic map is superim-
posed partly by the geological map prepared by Geological Survey
of Western Australia and Geoscience Australia from surface outcrops
and mining information. Considerable gold workings have been
developed in the greenstone formations that form the linear magnetic
highs in the shape of an ovoid in the center of the map (this structure
is common when domal uplifts have been partly eroded). Aeromag-
netics in this case shows clearly the lateral extent of these greenstone
formations under the sedimentary cover. In addition, numerous frac-
tures, faults, dykes, as well as textures and patterns that reveal the
clues to the origin and evolutionary history of the Archean craton
are quite evident in this image. Generally, the correlation of magnetic
anomalies with geology requires an intervening step called the reduc-
tion to pole (q.v.) because the anomalies are skewed with respect to
their sources and have differently displaced positive and negative lobes
depending on the magnetic latitude and the direction of remanent mag-
netization. Another way of avoiding the skewness issue when compar-
ing with geology is to map the field into magnetic property variation
(susceptibility and/or magnetization) as done in the next example.
The second example illustrates the utility of the other end of the
crustal magnetic anomaly wavelength spectrum. The greatest advan-
tage of looking at the long-wavelength portion of the crustal magnetic
field is that it is uniformly collected by satellites and to a large degree
processed similarly over the entire world. One of the most important
aspects of the interpretation of the satellite-altitude magnetic field,
overlooked by most geologists and geophysicists, leading to its misin-
terpretation, is that all wavelengths shorter than 500 km are reduced
below 1 nT level at the altitude of measurement (about 400 km) and
so this field contains virtually no near-surface geologic information
unless the near-surface geology itself happens to be a reflection of
the structure and composition of the deep crust; therefore, the correla-
tions of these long-wavelength anomalies with geology should not be
normally sought. On the other hand, this long-wavelength magnetic
field contains an integrated effect of the entire magnetic portion of
the lithosphere whereas most geologic/geophysical observations
(including near-surface magnetic surveys) are collected over limited
areas, processed differently with different methods and then compiled
into a regional database—a process that inherently introduces a long-
wavelength corruption of the database. Moreover, near-surface geolo-
gic samples usually only have limited amount of information about
the deep crust. In addition, the present amount and distribution of
many data sets that can probe the deep crust (e.g., seismic, electromag-
netic, etc.) is not adequate in their spatial resolution to differentiate
evolutionary domains of the continents. And finally, all physical prop-
erties do not change similarly from one region to the next in the bulk
sense and therefore each property has something unique to contribute
to our knowledge of the Earth’s crust. The main point of this second
example is that the bulk magnetization variation is sensitive to a num-
ber of changes that occur from one geologic domain to the next and as
a result, it is able to delineate some major crustal formation provinces
in the United States. This type of knowledge is only possible through a
compilation of extensive and time-consuming geochemical analyses of
samples throughout the continents. Figure C47a (Plate 6d) shows geo-
logic provinces based on the latest igneous activity in the United States
(Van Schmus et al., 1996). In the western portion (for example, the
western margin of the Inner Accretionary Belt in Figure C47a and
Plate 6d), the geochemical age boundaries well-document the nature
in which the continent accreted during the Middle Proterozoic times
(1.9–1.6 Ga); however, in the eastern part, later igneous activity of the
eastern and southern Granite-Rhyolite provinces (EGR (1470 30 Ma)
and SGR (1370 30 Ma)) obscure the fundamental accretionary
boundaries. It is only through the analyses of Nd isotope data, the crustal
formation age boundary could be defined (shown by a dashed line Nd
in Figure C47a and Plate 6d;VanSchmuset al., 1996) and shown by
a white dashed line in Figure C47b and Plate 6d). The magnetization varia-
tion plotted in Figure C47b (Plate 6d) is the integrated effect of magnetic
CRUSTAL MAGNETIC FIELD 141