This book presents a comprehensive summary of research on tropical cyclone variability at various time scales, from intraseasonal and interannual to interdecadal and centennial. It covers the fundamental theory, statistics and numerical modelling techniques used when considering climate variability in relation to tropical cyclone activity. Major climate oscillations including the Madden-Julian, El Niño, Atlantic Meridional Mode, and Pacific Decadal oscillations are covered, and their impacts on tropical cyclone activity in the Pacific and Atlantic oceans are discussed. Hurricane landfalls in the United States, Caribbean and East Asia are also considered. Climate models and numerical simulations are used to show how prediction models of tropical cyclones are developed, while looking to the future, particular attention is paid to predicting how tropical cyclones will change in response to increased concentrations of greenhouse gases. This book ideal for researchers and practitioners in atmospheric science, climatology, oceanography and civil and environmental engineering.
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Pao-Shin Chu is a Professor and Hawaii State Climatologist at the University of Hawaii. He was the NASA/ASEE Summer Faculty Fellow at NASA Goddard Space Flight Center in 1994/5 and was appointed as Chair Professor in the Department of Atmospheric Sciences at the National Taiwan University in 2019. His research interests lie in the areas of tropical climate variability and change, tropical cyclones, statistical modelling and extreme events, and he teaches several related graduate-level courses including Tropical Climate and Weather, Monsoon Meteorology, and Statistical Meteorology.
Hiroyuki Murakami is a research scientist at the NOAA Geophysical Fluid Dynamics Laboratory, Plainsboro, New Jersey. He was a contributing author for the Intergovernmental Panel on Climate Change 5th Scientific Assessment (AR5, 2013) and been identified as one of the 500 most influential climate scientists by Reuters. His research interests include tropical cyclone climate projections, extreme events and numerical weather prediction.
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