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Analytics in Meteorology: Data Transformation for Weather Intelligence
Analytics in Meteorology: Data Transformation for Weather Intelligence
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Author : BV Ramana Rao, Surender Singh & V Uma Maheswara Rao
Pages : 332
Year of Publication : 2026
Language : English
Binding : Hardback
Analytics in Meteorology: Data Transformation for Weather Intelligence bridges the gap between atmospheric science and modern data analytics. In an era of rapid climate change and data abundance, the book shows how to transform vast meteorological datasets—from satellites, ground stations, drones, and citizen science—into actionable insights. Covering atmospheric physics, data acquisition, quality control, statistical analysis, machine learning, visualization, and numerical weather prediction, it offers a unified framework for understanding and forecasting weather and climate. Designed for meteorologists, data scientists, researchers, students, and policymakers, this book equips readers to improve forecast accuracy, strengthen climate assessments, and support informed decision-making. Combining theory, tools, and real-world applications, it provides the essential foundation for harnessing “Weather Intelligence” to meet today’s environmental challenges.
Pages : 332
Year of Publication : 2026
Language : English
Binding : Hardback
Analytics in Meteorology: Data Transformation for Weather Intelligence bridges the gap between atmospheric science and modern data analytics. In an era of rapid climate change and data abundance, the book shows how to transform vast meteorological datasets—from satellites, ground stations, drones, and citizen science—into actionable insights. Covering atmospheric physics, data acquisition, quality control, statistical analysis, machine learning, visualization, and numerical weather prediction, it offers a unified framework for understanding and forecasting weather and climate. Designed for meteorologists, data scientists, researchers, students, and policymakers, this book equips readers to improve forecast accuracy, strengthen climate assessments, and support informed decision-making. Combining theory, tools, and real-world applications, it provides the essential foundation for harnessing “Weather Intelligence” to meet today’s environmental challenges.
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