This work is directed to explore the efficacy of strong and consistent
correlations between the $\mathrm{\Delta}$ X component of magnetic field at two
equatorial/low-latitude stations at nearly antipodal locations during
geomagnetic storms. The antipodal stations considered are Huancayo (HUA:
12.06${}^{\circ}$ S, 75.21${}^{\circ}$ W geographic; magnetic dip 0.3${}^{\circ}$ N) in the
Peruvian longitude sector and Alibag (ABG: 18.64${}^{\circ}$ N, 72.87${}^{\circ}$ E
geographic; magnetic dip 10${}^{\circ}$ N) in the Indian longitude sector. Six
strong geomagnetic storm events during the period 2000-2005, falling in the
maximum-to-declining phase of solar cycle 23, are analyzed for this study.
These stations are part of the SuperMAG network and data from these stations
are openly available. It is noted that although $\mathrm{\Delta}$ X variations over these
two stations are, in general, uncorrelated, significant correlations are
observed on certain occasions. Correlation coefficient of at least 75$\mathrm{\%}$ for
10 minutes is defined as a requisite criterion to infer the possible connection
between the $\mathrm{\Delta}$ X variations over these two stations. The ionospheric
convection maps from the SuperDARN network are also used to understand the
Spatio-temporal evolution of the two-cell ionospheric convection patterns over
high-latitudes during these periods of observations. This exercise reveals that
the $\mathrm{\Delta}$ X variations over the antipodal locations are significantly
correlated when the two-cell convection maps show appropriate rotations and
both the stations possibly come under the single cell. Therefore, this
investigation brings out a novel method to identify the IMF ${B}_{y}$ influence
over the low/equatorial latitudes based on the openly available data.