Simulation of Indian summer monsoon processes using numerical models - Ratna, Satyaban Bishoyi
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Most of the annual rainfall of the Indian subcontinent occurs during the summer monsoon season. Prediction of the monsoon rainfall is important due to its impact on agrarian economies of countries like India. Attempts are being made continuously to understand the physical and dynamical processes and to predict the monsoon on different spatial and time scales. During the last few years, high resolution numerical models based on non-hydrostatic dynamics have been developed along with the recent developments in high performance computing facilities. In the present study, the author has chosen to…mehr

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Produktbeschreibung
Most of the annual rainfall of the Indian subcontinent occurs during the summer monsoon season. Prediction of the monsoon rainfall is important due to its impact on agrarian economies of countries like India. Attempts are being made continuously to understand the physical and dynamical processes and to predict the monsoon on different spatial and time scales. During the last few years, high resolution numerical models based on non-hydrostatic dynamics have been developed along with the recent developments in high performance computing facilities. In the present study, the author has chosen to study the predictability of the onset phase, heavy rainfall events and the regional characteristics of the Indian summer monsoon using high resolution mesoscale and regional climate models. The outcome of this work should be useful to the students, scholars and researchers in the weather and climate prediction studies.
Autorenporträt
Dr. Satyaban Bishoyi Ratna, M.Sc., M.Tech., Ph.D., has studied Meteorology from the Andhra University, Visakhapatnam. He started working at CDAC, Pune, India and later moved to Japan to work as a postdoctoral researcher at JAMSTEC. Presently, he is a Researcher at CMCC, Italy. His research interest is on Indian summer monsoon variability.