[en] Space weather is well recognized by the various solar activities and their cycles. The emission line corona (spectral line 530.3 $nm$) and its distribution reflect the solar activity that is caused by the ecumenical magnetic field. The acknowledgement of this paramountcy cyclic studied (1954 to 2016) under the spectral line 530.3 $nm$ and its cycle by Markov chain technique. In utilizing of Markov there is periodic behaviour observed in process of Markov chain in the coronal index (CI) solar cycle, with associated El Nino Southern Oscillation (ENSO). The strongest relationship (0.98) is found between the transition matrix of CI and ENSO total cycles using the 2-dimensional correlation. Moreover, the validity of the Markov chain analyses is endorsed by dependency and stationary test of CI and ENSO data. Results indicate that CI can define the solar geomagnetic effect on ENSO as a solar activity like sunspot activity. Similarly, return periods of both the data sets demonstrate the highest number of visits in state 3. Since CI and sunspots are associated with performing the space climate. The individual relationship of CI to the earth’s climatic parameter may open the new directions to understand the climate variation.