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Full Description
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.
Contents
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
