Big Data Analytics in Earth, Atmospheric, and Ocean Sciences

Inbunden, Engelska, 2022

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Beskrivning

Applying tools for data analysis to the rapidly increasing volume of data about the EarthAn ever-increasing volume of Earth data is being gathered. These data are “big” not only in size but also in their complexity, different formats, and varied scientific disciplines. As such, big data are disrupting traditional research. New methods and platforms, such as the cloud, are tackling these new challenges.Big Data Analytics in Earth, Atmospheric, and Ocean Sciences explores new tools for the analysis and display of the rapidly increasing volume of data about the Earth.Volume highlights include: An introduction to the breadth of big earth data analyticsArchitectures developed to support big earth data analyticsDifferent analysis and statistical methods for big earth dataCurrent applications of analytics to Earth science dataChallenges to fully implementing big data analyticsThe American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.Find out more in this Q&A with the editors.

Produktinformation

Utgivningsdatum:2022-11-22
Mått:160 x 226 x 28 mm
Vikt:522 g
Format:Inbunden
Språk:Engelska
Serie:Special Publications
Antal sidor:352
Förlag:John Wiley & Sons Inc
ISBN:9781119467571

Utforska kategorier

Geovetenskap inom Naturvetenskap och teknik

Mer om författaren

Thomas Huang, NASA Jet Propulsion Laboratory, USA Tiffany C. Vance, NOAA Integrated Ocean Observing System, USA Christopher Lynnes, NASA Goddard Space Flight Center, USA (retd.)

Innehållsförteckning

Contributors viiPreface xiii1 An Introduction to Big Data Analytics 1Erik HoelPart I: Big Data Analytics Architecture 292 Introduction to Big Data Analytics Architecture 31Thomas Huang3 Scaling Big Earth Science Data Systems Via Cloud Computing 35Hook Hua, Gerald Manipon, and Sujen Shah4 NOAA Open Data Dissemination (Formerly NOAA Big Data Project/Program) 65Adrienne Simonson, Otis Brown, Jenny Dissen, Edward J. Kearns, Kate Szura, and Jonathan Brannock5 A Data Cube Architecture for Cloud-Based Earth Observation Analytics 95Peter Wang, Robert Woodcock, Ronnie Taib, Matt Paget, and Alex Held6 Open Source Exploratory Analysis of Big Earth Data With Nexus 115Thomas Huang, Edward M. Armstrong, Nga T. Chung, Eamon Ford, rank R. Greguska III, Joseph C. Jacob, Brian D. Wilson, Elizabeth Yam, and Alice Yepremyan7 Benchmark Comparison of Cloud Analytics Methods Applied to Earth Observations 137Christopher Lynnes, Michael M. Little, Thomas Huang, Joseph Charles Jacob, Chaowei Phil Yang, Mahabaleshwara Hegde, and Hailiang ZhangPart II: Analysis Methods for Big Earth Data 1538 Introduction to Analysis Methods for Big Earth Data 155Christopher Lynnes9 Spatial Statistics for Big Data Analytics in the Ocean and Atmosphere: Perspectives, Challenges, and Opportunities 159Kevin A. Butler and Tiffany C. Vance10 Giving Scientists Back Their Flow: Analyzing Big Geoscience Data Sets in the Cloud 177Niall Robinson, Theo McCaie, Jacob Tomlinson, Alex Hilson, Tom Powell, Rachel Prudden, Megan Fitzsimon, and Alberto Arribas11 The Distributed Oceanographic Match-Up Service 195Shawn R. Smith, Mark A. Bourassa, Jocelyn Elya, Thomas Huang, Kevin Michael Gill, Frank R. Greguska III, Nga Chung, Vardis Tsontos, Benjamin Holt, Thomas Cram, and Zaihua JiPart III: Big Earth Data Applications 22112 Introduction to Big Earth Data Applications 223Christopher Lynnes and Tiffany C. Vance13 Topological Methods for Pattern Detection in Climate Data 227Grzegorz Muszynski, Vitaliy Kurlin, Dmitriy Morozov, Michael Wehner, Karthik Kashinath, and Prabhat Ram14 Exploring Large Scale Data Analysis and Visualization for Atmospheric Radiation Measurement Data Discovery Using NoSQL Technologies 243Bhargavi Krishna, Kyle Dumas, and Giri Prakash15 Demonstrating Condensed Massive Satellite Data Sets for Rapid Data Exploration: The MODIS Land Surface Temperatures of Antarctica 259G. E. Grant, D. W. Gallaher, and Q. Lv16 Developing Big Data Infrastructure for Analyzing AIS Vessel Tracking Data on a Global Scale 279Rob Bochenek, Jessica Austin, John-Marc Dunaway, and Tiffany C. Vance17 Future of Big Earth Data Analytics 299Christopher Lynnes and Thomas HuangIndex 311