  Variations of total solar irradiance (TSI), magnetic field, Ca II K-flux,
faculae and plage areas due to the number and the type of sunspots/sunspot
groups (SGs) are well established by using Solar Irradiance Platform and ground
based data from various centers such as Stanford Data (SFO), Kodaikanal data
(KKL) and National Geographical Data Center (NGDC) Homepage, respectively. We
applied time series analysis for extracting the data over the descending phases
of solar activity cycles (SACs) 21, 22 and 23, and the ascending phases 22 and
23 of SACs, and analyzed the selected data using the Python programming
language. Our detailed analysis results suggest that there is a stronger
correlation between solar surface indices and the changes in the relative
portion of the small and large SGs. This somewhat unexpected finding suggest
that plage regions decreased in a lower values in spite of the higher number of
large SGs in SAC 23 while Ca II K-flux did not decrease by large amount or it
was comparable with SAC 22 for some years and relates with C type and DEF type
SGs. Thus, increase of facular areas which are influenced by large SGs caused a
small percentage decrease in TSI while decrement of plage areas triggered a
higher decrease in the flux of magnetic field. Our results thus reveal the
potential of such detailed comparison of SG analysis with solar surface indices
for understanding and predicting future trends in the SAC.
