Oceanography

Download e-book for kindle: Cloud Computing in Ocean and Atmospheric Sciences by Tiffany C Vance, Nazila Merati, Visit Amazon's Chaowei Yang

By Tiffany C Vance, Nazila Merati, Visit Amazon's Chaowei Yang Page, search results, Learn about Author Central, Chaowei Yang, , May Yuan

Cloud Computing in Ocean and Atmospheric Sciences presents the newest details in this particularly new platform for medical computing, which has nice percentages and demanding situations, together with pricing and deployments expenses and purposes which are usually offered as essentially company orientated. additionally, medical clients can be quite conversant in all these types and functions, yet rather unexpected with the intricacies of the systems they use.

The booklet offers a number of sensible examples of cloud functions which are written to be available to practitioners, researchers, and scholars in affiliated fields. by means of delivering normal details at the use of the cloud for oceanographic and atmospheric computing, in addition to examples of particular functions, this ebook encourages and educates capability clients of the cloud. The chapters supply an creation to the sensible features of deploying within the cloud, additionally offering examples of workflows and strategies that may be reused in new projects.

  • Provides genuine examples that support new clients fast comprehend the cloud and supply information for brand spanking new projects
  • Presents facts of the usability of the concepts and a transparent route to adoption of the thoughts via different researchers
  • Includes genuine examine and improvement examples
  • that are perfect for cloud computing adopters in ocean and atmospheric domains

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Extra resources for Cloud Computing in Ocean and Atmospheric Sciences

Sample text

A Primer on Cloud Computing 5 Resource pooling. The provider’s computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. , country, state, or datacenter). Examples of resources include storage, processing, memory, and network bandwidth. Rapid elasticity. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand.

Motivation:You are working in large oceans research institute with the responsibility of producing high-quality maps for publication. You have highquality bathymetric data for some of your research sites but not for all. Analysis Patterns for Cloud-Centric Atmospheric and Ocean Research 21 The process of creating high-quality, cartographically accurate base maps from your bathymetry data is very time-consuming. Forces and Context: • Efficient access to global data is required • Base map must be authoritative and created with the best available data • The base map must be cost free to its users Solution: Use a cloud-based base map.

Intent: Explores creating visualizations using cloud-based tools and making the visualizations available via the cloud. Addresses the need to visualize larger amounts of data and the opportunities provided by improved graphics processors and display devices such as Virtual Reality headsets. Motivation: You are part of the analysis team for a multiyear oceanic and atmospheric modeling effort to look at the effects of aerosols. For your final product, you have been asked to create a series of visualizations for the public and policy makers.

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