Dr. Satyaban Bishoyi Ratna

                                                                               M.sc., M.Tech., Ph.D.

Scientist-E, India Meteorological Department, MoES, Govt. of India

Dr. Satyaban Bishoyi Ratna is a senior scientist at the office of Climate Research and Services, India Meteorological Department, Pune, India. He has a M.Sc. in Oceanography, a M.Tech. in Atmospheric Sciences, and a Ph.D. in Meteorology. His research interest is in the role of the ocean on climate variability ranging from interannual to multidecadal time scales and diagnosing the physical mechanisms. Some of the examples of his research include ocean-atmosphere interactions through the Atlantic Multidecadal Oscillation, the El Niño-Southern Oscillation, the Indian Ocean Dipole, and their influence on the Asian summer monsoon.

Recently, in his current capacity at the India Meteorological Department, he has become more involved with operational climate predictions and services - this includes seasonal climate forecasts over India, monthly ENSO/IOD forecast bulletins, and teaching climate sciences to meteorological personals at the Meteorological Training Institute, Pune (A WMO Regional Training Centre). Also, as a member of the WMO Regional Climate Centre (RCC Pune), he contribute organising South Asian Climate Outlook Forum (SASCOF) and Climate Services User Forum (CSUF) in collaboration international organisations and National Meteorological and Hydrological Services (NMHSs) of South Asia.

Dr. Ratna earlier worked in the Climatic Research Unit, School of Environmental Sciences-University of East Anglia, United Kingdom, the Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Japan, the Euro-Mediterranean Center on Climate Change (CMCC), Italy, and the Centre for Development of Advanced Computing (CDAC), India.

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RESEARCH INTERESTS/EXPERIENCES

Large-scale Ocean-Atmosphere interactions; Climate variability and Change; Climate modeling (global and regional); Dynamics of extreme weather events Indian Summer Monsoon variability and prediction; Operational Seasonal Climate Prediction; Climate Services

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