dc.description.abstract | At present, Global Navigation Satellite Systems
(GNSS) are used to study the behavior of the atmosphere
including the ionosphere and the troposphere by
calculating the time taken for a GNSS satellite signal to
reach the Earth. The GNSS satellite signals get interrupted
while traveling through the ionosphere due to free
electrons produced from exposing the particles in the
atmosphere to extreme Ultraviolet radiations. These
amounts of free electrons are identified as the Total
Electron Content (TEC) in the ionosphere. So due to these
interruptions, a delay occurs when GNSS satellite signals
reach the GNSS receivers on the Earth’s surface. This effect
is called the ionospheric delay. So, scientists use statistics
related to ionospheric delay to study the behavior of the
ionosphere. This study also describes a method to obtain
the TEC in the ionosphere using the ionospheric delay and
determine the solar radiation variation over an area using
those calculated TEC values. Here single- frequency GNSS
signals of the Global Positioning System (GPS) were used
and thereafter TEC values along each signal path were
calculated. Then variations of TEC values were obtained
and thereby an equation was derived through nonlinear
regression analysis to predict the solar radiation variation.
After the analysis, the study is concluded by obtaining the
TEC variations over an area and finding an ideal method
to obtain solar radiation variation using those TEC values
obtained with the help of the model created through
nonlinear regression analysis. | en_US |