Cloud Computing in Ocean and Atmospheric Sciences provides the latest information on this relatively new platform for scientific computing, which has great possibilities and challenges, including pricing and deployments costs and applications that are often presented as primarily business oriented. In addition, scientific users may be very familiar with these types of models and applications, but relatively unfamiliar with the intricacies of the hardware platforms they use.

The book provides a range of practical examples of cloud applications that are written to be accessible to practitioners, researchers, and students in affiliated fields. By providing general information on the use of the cloud for oceanographic and atmospheric computing, as well as examples of specific applications, this book encourages and educates potential users of the cloud. The chapters provide an introduction to the practical aspects of deploying in the cloud, also providing examples of workflows and techniques that can be reused in new projects.

Provides real examples that help new users quickly understand the cloud and provide guidance for new projects
Presents proof of the usability of the techniques and a clear path to adoption of the techniques by other researchers
Includes real research and development examples
that are ideal for cloud computing adopters in ocean and atmospheric domains

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Yes, you can access Cloud Computing in Ocean and Atmospheric Sciences by Tiffany C Vance,Nazila Merati,Chaowei Yang,May Yuan in PDF and/or ePUB format, as well as other popular books in Informatique & Bases de données. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Academic Press

Year

2016

ISBN

9780128031933

Topic

Informatique

Subtopic

Bases de données

Cover image
Title page
Table of Contents
Copyright
Dedication
List of Contributors
Author Biographies
Foreword
Acknowledgments
Introduction
Chapter 1. A Primer on Cloud Computing
Chapter 2. Analysis Patterns for Cloud-Centric Atmospheric and Ocean Research
Chapter 3. Forces and Patterns in the Scientific Cloud: Recent History and Beyond
Chapter 4. Data-Driven Atmospheric Sciences Using Cloud-Based Cyberinfrastructure: Plans, Opportunities, and Challenges for a Real-Time Weather Data Facility
Chapter 5. Supporting Marine Sciences With Cloud Services: Technical Feasibility and Challenges
Chapter 6. How We Used Cloud Services to Develop a 4D Browser Visualization of Environmental Data at the Met Office Informatics Lab
Chapter 7. Cloud Computing in Education
Chapter 8. Cloud Computing for the Distribution of Numerical Weather Prediction Outputs
Chapter 9. A2CI: A Cloud-Based, Service-Oriented Geospatial Cyberinfrastructure to Support Atmospheric Research
Chapter 10. Polar CI Portal: A Cloud-Based Polar Resource Discovery Engine
Chapter 11. Climate Analytics as a Service
Chapter 12. Using Cloud-Based Analytics to Save Lives
Chapter 13. Hadoop in the Cloud to Analyze Climate Datasets
Chapter 14. LiveOcean
Chapter 15. Usage of Social Media and Cloud Computing During Natural Hazards
Chapter 16. Dubai Operational Forecasting System in Amazon Cloud
Chapter 17. Utilizing Cloud Computing to Support Scalable Atmospheric Modeling: A Case Study of Cloud-Enabled ModelE
Chapter 18. ERMA® to the Cloud
Chapter 19. A Distributed, RESTful Data Service in the Cloud in a Federal Environment—A Cautionary Tale
Chapter 20. Conclusion and the Road Ahead
Index