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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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Foreword

List of Contributors/Author biographies

Dedication

Acknowledgements

Introduction

1. A Primer on cloud computing

2. Analysis patterns for cloud centric atmospheric and ocean research

3. Forces and Patterns In The Scientific Cloud: Recent History and Beyond

4. Data-driven Atmospheric Sciences using Cloud-based Cyberinfrastructure: Plans, opportunities, and challenges for a real-time weather data facility

5. Supporting marine sciences with Cloud services: technical feasibility and challenges

6. How we used cloud services to develop a 4D browser visualisation of environmental data at the Met Office Informatics Lab

7. Cloud computing in Education

8. Cloud computing for the distribution of numerical weather predictions outputs

9. A2CI: A Cloud-based, Service-oriented Geospatial Cyberinfrastructure to Support Atmospheric Research

10. Polar CI Portal: A Cloud-based Polar Resource Discovery Engine

11. Climate analytics as a service

12. Using cloud-based analytics to save lives

13. Hadoop in Cloud to Analyze Climate Datasets

14. LiveOcean

15. Usage of Social Media and Cloud Computing during Natural Hazards

16. Dubai Operational Forecasting System in Amazon cloud

17. Utilizing cloud computing to support scalable atmospheric modeling: A case study of cloud-enabled ModelE

18. ERMA to the cloud

19. A Distributed, RESTful Data Service in the Cloud in a Federal Environment: A Cautionary Tale

20. Conclusions and the road ahead

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