The pre-monsoon cyclone Viyaru in the Bay of Bengal during May 2013 traversed a long track from 5°N to 22°N over 7 days with basin-wide response, which was well captured by the time series observations of OMNI buoy network along with satellite data.

A new comprehensive surface temperature data set for India is used to document changes in Indian temperature over seven decades, in order to examine the patterns and possible effects of global warming. The data set is subdivided into pre-monsoon, monsoon, and post-monsoon categories in order to study the temperature patterns in each of these periods.

The seas surrounding India, namely Arabian Sea (AS) and Bay of Bengal (BoB) with their associated coastal embayments form one of the highly productive areas and biodiversity hotspots in the tropics contributing profusely to the socio-economic front of the region. Therefore, acquiring knowledge on the climate change scenario of this region and its impacts on marine ecosystems in general and planktons, in particular, is considered crucial for better resilience.

Physical forcing of cyclonic phenomenon on water quality often exerts stress on marine and estuarine ecosystems due to their unpredictability. The post-cyclonic changes in phytoplankton biomass have been reported in the Bay of Bengal. In addition, cyclones also intensify physical processes resulting in entrainment of nutrient-rich water from deeper depths into surface leading to regional phytoplankton blooms.

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