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Tropical Extremes: Natural Variability and Trends features the most up-to-date information on present and future trends related to climate change and tropical extremes. Including contributions from the foremost experts in the field, this important reference addresses the science behind climate change and natural variability in relation to tropical extremes. The book also includes practical insight into modeling and observation approaches. In a warming world, the increase of weather extremes presents a scientifically complex and societally relevant challenge. The book confronts these challenges…mehr

Produktbeschreibung
Tropical Extremes: Natural Variability and Trends features the most up-to-date information on present and future trends related to climate change and tropical extremes. Including contributions from the foremost experts in the field, this important reference addresses the science behind climate change and natural variability in relation to tropical extremes. The book also includes practical insight into modeling and observation approaches. In a warming world, the increase of weather extremes presents a scientifically complex and societally relevant challenge. The book confronts these challenges with observational evidence, modeling studies and expected impacts. This is an essential reference for researchers, modelers and students in the fields of climate and atmospheric science looking to better understand the causes and effects of tropical extremes and natural variability.
Autorenporträt
Venugopal Vuruputur is an Associate Professor at the Center for Atmospheric and Oceanic Sciences of the Indian Institute of Science. He received a PhD in Civil Engineering at the University of Minnesota, where he was also a research associate and affiliate member of the Graduate Faculty. He is an Associate Editor for the journal Water Resources Research (AGU) and has contributed to over 20 published journal articles. His research interests include tropical rainfall and its extremes, stochastic hydrology, and hydrological modeling.