The paper presents the views of the 2-D interpretation of magnetotellu
ric (MT) data that are characteristic of the Russian magnetotelluric s
chool. Discussing the strategy of 2-D interpretation of MT data, we ha
ve to answer three questions. In decreasing order of importance, these
questions are as follows. (1) Which field mode is more sensitive to t
he near-surface and deep structures that are the targets of MT surveys
? (2) Which held mode is more robust to the 3-D effects caused by real
geological bodies? (3) Which field mode is more susceptible to the st
atic shift induced by nearsurface inhomogeneities? We examine the tran
sverse magnetic (TM) and transverse electric (TE) modes of the 2-D mag
netotelluric held and show that they satisfy the principle of informat
ion complementarity: (I)while the TM mode is more sensitive to the nea
r-surface structures, the TE mode may be more sensitive to the deep st
ructures; (2) while the TM mode is more robust to the 3-D effects caus
ed by conductive structures, the TE mode may be more robust to the 3-D
effects caused by resistive structures; and (3) while the TM mode is
more susceptible to the static shift, the TE mode may be almost undist
orted. Thus, the gaps left by one mode can be filled by another mode.
If so, the most comprehensive and reliable information on the conducti
vity of the Earth's interior can be obtained using both modes, i.e. th
e transverse and longitudinal MT curves. The general scheme of this bi
modal MT inversion is rather simple. The transverse curves provide det
ails of near-surface structures (e.g. in the sediments) and allow one
to evaluate the lithosphere resistance and outline the deep conductive
faults, while the longitudinal curves help one to detect the conducti
ve zones in deep layers of the lithosphere and in the asthenosphere. A
n efficient two-level algorithm for the bimodal MT inversion realizing
this scheme is suggested. As an illustration, the paper presents the
geoelectrical model of the Kirghiz Tien Shan constructed by means of t
he bimodal MT inversion.