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Book Summary
About the Book: Analytics in Meteorology: Data Transformation for Weather
Intelligence
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,
- ISBN-13
- 9789372195897
- Language
- Engllish
- Binding
- Hard Bound
- Publisher
- NIPA
- Publishing Date
- 2026
- Total Pages
- 332
Analytics in Meteorology: Data Transformation for Weather Intelligence
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Product Specifications
Book Summary
About the Book: Analytics in Meteorology: Data Transformation for Weather
Intelligence
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,
Book Specifications
- ISBN-13
- 9789372195897
- Language
- Engllish
- Binding
- Hard Bound
- Publisher
- NIPA
- Publishing Date
- 2026
- Total Pages
- 332