Overview
- Defines what constitutes actionable data in climate science and agriculture
- Offers methods for deriving actionable data from petabytes of big data
- Presents real world examples and case studies
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About this book
This volume teaches readers how to sort through the vast mountain of climate and environmental science data to extract actionable insights. With the advancements in sensing technology, we now observe petabytes of data related to climate and the environment. While the volume of data is impressive, collecting big data for the sake of data alone proves to be of limited utility. Instead, our quest is for actionable data that can drive tangible actions and meaningful impact.
Yet, unearthing actionable insights from the accumulated big data and delivering them to global stakeholders remains a burgeoning field. Although traditional data mining struggles to keep pace with data accumulation, scientific evolution has spurred the emergence of new technologies like numeric modeling and machine learning. These cutting-edge tools are now tackling grand challenges in climate and the environment, from forecasting extreme climate events and enhancing environmental productivity to monitoringgreenhouse gas emissions, fostering smart environmental solutions, and understanding aerosols. Additionally, they model environmental-human interactions, inform policy, and steer markets towards a healthier and more environment-friendly direction.While there's no universal solution to address all these formidable tasks, this book takes us on a guided journey through three sections, enriched with chapters from domain scientists. Part I defines actionable science and explores what truly renders data actionable. Part II showcases compelling case studies and practical use scenarios, illustrating these principles in action. Finally, Part III provides an insightful glimpse into the future of actionable science, focusing on the pressing climate and environmental issues we must confront.Embark on this illuminating voyage with us, where big data meets practical research, and discover how our collective efforts move us closer to a sustainable and thriving future. This book is an invitation to unlock the mysteries of our environment, transforming data into decisive action for generations to come.Keywords
Table of contents (14 chapters)
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Actionable Science of Global Environment Change
Book Subtitle: From Big Data to Practical Research
Editors: Ziheng Sun
DOI: https://doi.org/10.1007/978-3-031-41758-0
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-41757-3Published: 02 November 2023
Softcover ISBN: 978-3-031-41760-3Due: 15 November 2024
eBook ISBN: 978-3-031-41758-0Published: 01 November 2023
Edition Number: 1
Number of Pages: VI, 392
Number of Illustrations: 2 b/w illustrations, 29 illustrations in colour
Topics: Climate, general, Statistics, general, Statistics, general