Development of a end-to-end cloud computing MetOcean solution

The wide-ranging requirements of computing to support scientific services and research can make the development and maintenance of infrastructure challenging and costly. Numerical simulation and forecasting generally requires a high performance computing environment including high speed, low latency networks supporting parallel execution, whereas the management of output data and analysis of the data requires vast storage space and high memory environments to properly visualize and analyze large datasets. As the utilization of MetOcean data and forecast services has expanded globally, including geographically remote regions and offshore locations, the delivery of important forecast output and data analysis tools is challenged by unreliable global communications links and high costs to maintain capable datacenters onsite. The cloud provides an opportunity for the generation and presentation of data to occur locally or regionally, reducing latency and improving availability of the services across the globe. The ability to utilize cloud offerings only when and where they are needed facilitates the global presence of tools and services without the challenging upfront commitment to multiple data centers.