Published Paper Details:

Determining the climate variability in India is very difficult. However the analyse is essential in order to determine the factors that affecting the monsoon of India. Finding the factors affecting the NEM and SWM would create a great impact and it will surely benefit to Indian agriculture and Indian economy. The variation on SST of Pacific Ocean is EL NINO and in Indian Ocean termed as Indian Ocean Dipole. The main aim of this project is to determine the climate variability which is based on variation of Sea Surface Temperature, and also to determine the impact of EL NINO and IOD in Indian Monsoon (Both NEM, SWM).Monthly mean SST anomaly data is used for analysing the SST variation in CWDA tool of a remote sensing software. Rainfall data from IMD also used for analysing the rainfall variability and for creating monsoon variability map. The drought years after 2000 is 2002 and 2009. Both are an EL NINO years. We have found the influence of monsoon variability by EL NINO (2002, 2004, 2009, and 2014) and IOD (2003, 2006). The strong EL NINO decrease the SWM about 30% than the average and increase the NEM about 20% than the average. The moderate EL NINO decrease both the SWM, NEM about 15-20% than the normal. The high vulnerable zones of PEN strong are UP, central and Western. The moderate zones are Southern, Tamilnadu and Bengal. The low vulnerable zones are Himalayan and Eastern states.