Cloud Computing in Ocean and Atmospheric Sciences

<p>Foreword</p> <p>List of Contributors/Author biographies </p> <p>Dedication</p> <p>Acknowledgements</p> <p>Introduction</p> <p>1. A Primer on cloud computing</p> <p>2. Analysis patterns for cloud centric atmospheric and ocean research</p> <p>3. Forces and Patterns In The Scientific Cloud: Recent History and Beyond</p> <p>4. Data-driven Atmospheric Sciences using Cloud-based Cyberinfrastructure: Plans, opportunities, and challenges for a real-time weather data facility</p> <p>5. Supporting marine sciences with Cloud services: technical feasibility and challenges</p> <p>6. How we used cloud services to develop a 4D browser visualisation of environmental data at the Met Office Informatics Lab</p> <p>7. Cloud computing in Education</p> <p>8. Cloud computing for the distribution of numerical weather predictions outputs</p> <p>9. A2CI: A Cloud-based, Service-oriented Geospatial Cyberinfrastructure to Support Atmospheric Research</p> <p>10. Polar CI Portal: A Cloud-based Polar Resource Discovery Engine</p> <p>11. Climate analytics as a service</p> <p>12. Using cloud-based analytics to save lives</p> <p>13. Hadoop in Cloud to Analyze Climate Datasets</p> <p>14. LiveOcean</p> <p>15. Usage of Social Media and Cloud Computing during Natural Hazards</p> <p>16. Dubai Operational Forecasting System in Amazon cloud</p> <p>17. Utilizing cloud computing to support scalable atmospheric modeling: A case study of cloud-enabled ModelE</p> <p>18. ERMA to the cloud</p> <p>19. A Distributed, RESTful Data Service in the Cloud in a Federal Environment: A Cautionary Tale</p> <p>20. Conclusions and the road ahead</p>