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This book is a collection of selected papers presented at the Second Congress on Intelligent Systems (CIS 2021), organized by Soft Computing Research Society and CHRIST (Deemed to be University), Bengaluru, India during September 4 – 5, 2021. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It covers topics such as Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web mining, data science, intelligence for security, intell...
South Asian Summer Monsoon: Processes, Prediction, and Societal Impacts provides a stronger understanding of the monsoon environment and new information on the structure and dynamics of monsoon weather systems, onset and withdrawal processes, South Asian monsoon variability at all time scales, from Diurnal to multi-decadal, and human influence on the changing monsoon climate. Readers will also find updates on the present status and capability of short-to-medium range, extended-range, and seasonal monsoon prediction methods. Finally, the book's authors discuss the role of monsoon forecasts for sectoral applications in agriculture, water resources, drought and flood management, disaster management, public health, and energy. - Provides an updated reference on South Asian monsoons, with a review of the latest research papers and information - Presents discussions on the forecasting aspects of South Asian monsoons by describing synoptic systems, forecasting capabilities, and case studies - Includes sectoral applications of monsoon forecasts, along with excellent examples
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Improving the reliability of long-range forecasts of natural disasters, such as severe weather, droughts and floods, in North America, South America, Africa and the Asian/Australasian monsoon regions is of vital importance to the livelihood of millions of people who are affected by these events. In recent years the significance of major short-term climatic variability, and events such as the El Nino/Southern Oscillation in the Pacific, with its worldwide effect on rainfall patterns, has been all to clearly demonstrated. Understanding and predicting the intra-seasonal variability (ISV) of the ocean and atmosphere is crucial to improving long range environmental forecasts and the reliability of climate change projects through climate models. In the second edition of this classic book on the subject, the authors have updated the original chapters, where appropriate, and added a new chapter that includes short subjects representing substantial new development in ISV research since the publication of the first edition.